A Senior AI Engineer with a rare dual-expertise: architecting low-level Edge AI systems using C/C++ and NVIDIA GPU optimization, while designing intelligent workflows using LLMs and Generative AI. Proven track record of translating complex machine learning research into real-world operational solutions, bridging the gap between hardware integration, automated data pipelines, and advanced AI models.
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Email: felixyustian@gmail.com
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LinkedIn: https://linkedin.com/in/felixsetiono
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Facebook: https://www.facebook.com/felixyustian
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Instagram: https://www.instagram.com/felixyustian/
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Google Scholar: https://scholar.google.com/citations?user=W_NZMf4AAAAJ&hl=en
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Applied Deep Learning: Computer vision, CNNs, Transformers, optimization, inference acceleration
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Embedded AI & Robotics: Edge deployment, microcontroller integration, control algorithms
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Data Engineering: ETL pipelines, data cleaning, visualization dashboards (Python, Pandas, Plotly)
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Software & Tools: Python, C/C++, TensorFlow, PyTorch, OpenCV, ROS, Docker, FastAPI, SQL, Tableau, Google Cloud Platform (GCP), Amazon Web Services (AWS), Figma
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🧩 AI-Robotics Integration – deep learning vision + embedded control for robotics platform
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⚙️ Edge AI Deployment – optimized CNN model on microcontroller for object tracking
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📊 Data Visualization Pipeline – real-time telemetry dashboard for robotics data streams
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🤖 Automation Toolkit – open-source collection of ML utilities for hardware systems
SmartBridge Indonesia | February 2026 - Present | Remote |
Lead Trainer to deliver a comprehensive 30-hour Virtual Instructor-Led Training (VILT) on advanced Prompt Engineering for the "Last Mile Indonesia" program.
Key Responsibilities & Achievements:
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Teaching advanced AI reasoning frameworks, including Chain-of-Thought (CoT), Tree-of-Thought (ToT), and Self-Consistency to enhance LLM output accuracy.
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Educating participants on Prompt Architecture (RTCFC Framework) and deep-level model parameters (Temperature, Top-P, Top-K).
-
Guiding developers through "Vibe Coding" and intent-based problem solving using the Gemini ecosystem.
-
Specializing in Cost-Accuracy trade-offs, tokenization mechanics, and red-teaming/adversarial prompting for enterprise-grade AI safety.
SoftAge Information Technology Limited | February 2026 - Present | Remote | Freelance AI Image Data Contributor
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Collaborating on the SrotPix Image Data Collection Project to generate high-quality, structured visual datasets for AI model training.
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Producing complex image sequences across specialized categories, including Character Consistency, Nested Objects, and Object Interactions.
-
Ensuring strict adherence to dataset QA guidelines, managing metadata consistency, lighting continuity, and precise spatial framing to reduce rejection rates.
-
Gaining hands-on experience in the foundational data-gathering phase of the Generative AI lifecycle.
PostWork AI | October 2025 - Present | Remote |
Developing and training AI models before final public deployments, solving the customers' needs for software or applications, working in remote locations, and being paid hourly.
Soegijapranata Robotics Team | August 2014 - Present | Onsite |
Leading and advising robotics teams in various competitions, developing strategies for technical excellence, and mentoring students in robotics and mechatronics projects.
Soegijapranata Catholic University | May 2014 - Present | Onsite |
Teaching electrical engineering courses, conducting research in robotics and mechatronics, supervising student projects, and contributing to academic publications.
Soegijapranata Catholic University | August 2014 - March 2018 |
Managing laboratory operations, maintaining equipment, developing laboratory modules, and ensuring safety standards for electrical engineering experiments.
Electrical Energy Conversion Laboratory | January 2010 - August 2012 | Onsite |
Assisting in research projects related to electrical energy conversion, data collection, analysis, and experimental setup.
Electrical Energy Conversion Laboratory | August - December 2009 | Onsite |
Assisting in laboratory sessions, helping students with experiments, and grading assignments.
PT Astra Honda Motor | August 2007 | Onsite |
Gained practical experience in automotive manufacturing processes and quality control systems.
Professional Certification | April 2024 - October 2024
Institut Teknologi Bandung | January 2010 - August 2012
Soegijapranata Catholic University | August 2005 - December 2009
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Computer Vision & Edge AI: CNNs, Inference Acceleration, OpenCV, Edge Deployment (Microcontrollers/IoT)
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Generative AI & LLMs: Transformers, Agentic Workflows, Structured JSON Parsing, Prompt Engineering
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Data & Backend Engineering: Python, FastAPI, ETL Pipelines, Data Visualization (Pandas, Plotly)
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Systems & Infrastructure: C/C++, PyTorch, TensorFlow, ROS, Docker
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Google Cloud Platform (GCP)
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Amazon Web Services (AWS)
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Indonesian (Native)
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Javanese (Native)
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English (TOEFL iBT 80)
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French (DELF A2)
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Japanese (Basic)
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Korean (Basic)
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Microsoft Windows
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Linux
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Microsoft Office
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RTOS
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Embedded C++
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Teamwork
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Social Integrity
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Leadership
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Determination
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Project Management
- Know-Your-Customer (KYC) Vision System: A polyglot KYC verification microservice (Go + Python) integrating OpenCV face detection, Tesseract OCR for Indonesian ID card field extraction, and a JWT-secured REST gateway — deployed via Docker Compose with a full CI pipeline.
- PPE Compliance Monitoring System: AI Edge Architecture: Enterprise-grade Machine Learning architecture designed for Edge Computing (NVIDIA Jetson). Features dynamic batching, TensorRT FP16 quantization with zero mAP degradation, PyTorch Forward Hooks for predictive tensor analysis (Layer Collapse mitigation), and an asynchronous FastAPI backend capable of handling 15 simultaneous 1080p RTSP streams under strict latency budgets (≤ 66.7 ms).
- Plankton Detection & Counting Case Study: Micro-object detection and taxonomic classification solution for microscopic images. Focuses on handling extreme class imbalance and population counting accuracy (Dense Object Counting).
- Enterprise AI Agentic Workflow: Banking Risk & Compliance Engine: Enterprise AI Context Engine: Unifying Risk, Fraud, & Marketing Analytics using LangChain, LangGraph, Pandas, and Scikit-Learn plugins. Deployment using Module Context Protocol (MCP) implementation and UI/UX integration.
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Team SIRI - KRTI 2024: Autonomous Hexarotor UAV control system using Raspberry Pi and PyTorch-based computer vision for the Indonesian Flying Robot Contest.
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Team SOUNDBOT - KRBAI 2024: Autonomous Underwater Vehicle (AUV) software stack for underwater navigation and object detection.
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Team SAURO - KRTMI 2024: Autonomous Trash Collector Robot combining Arduino motor control with Raspberry Pi vision.
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EduSense AI: Production-grade KYC document verification system built with a polyglot microservice architecture. Integrates a high-concurrency Go API Gateway with a Python Computer Vision service (FastAPI, OpenCV, YOLOv8, Tesseract) for robust Indonesian KTP extraction and liveness checks.
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LangGraph Agent Test: Experimental implementation of cyclic, stateful AI agents on Google Cloud Platform.
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Gemini Chatbot v2: A Node.js web application integrating Google's Gemini API for interactive conversations.
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Next.js AI Chatbot: A modern chatbot UI built with Next.js 14, Vercel AI SDK, and OpenAI streaming.
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Django Quiz App: An interactive quiz platform powered by Django and AI question generation.
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Best Graduate Student - Academic excellence recognition
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AOTULE Participant - International academic collaboration
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Exchange Student - INP-ENSEEIHT, Toulouse, France
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Presenter - Various international conferences and seminars
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Advisor and Judge - Multiple robotics competitions
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Google Student Ambassador 2025 - Mentor for university delegates
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Pan-SEA AI Developer Challenge 2025 - Semi-Finalist / Top 100 Participants
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BRIN AIDeNation 2025 - Finalist / Top 80 Participants
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Maju Bareng AI Bootcamp 2025 by Hactiv8 Indonesia, Google & AVPN - Participant
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Pijak from IBM Skills Build and Dicoding Indonesia - Participant
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Microsoft Elevate 2025 by Microsoft Indonesia & Dicoding Indonesia - Participant
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IDCamp 2025 by Indosat and Dicoding Indonesia - Participant
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DBS Coding Camp 2026 by DBS Foundation and Dicoding Indonesia - Participant
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AWS Back-End Academy 2025 by AWS and Dicoding Indonesia - Participant
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JuaraGCP Season 12 - 2026 by Google Developer Group Indonesia - Participant
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Coding & Algorithm Tournament 2026 (https://catournament.org/) - Semi-Finalist
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Juara VibeCoding 2026 by Google Developer Group Indonesia - Participant
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IEEE Regular Member
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PII Regular Member
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APDI Regular Member
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Python Indonesian Society Member
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Python Software Foundation (PSF) Member
I’m passionate about bridging theory and implementation — guiding ideas from algorithm design to hardware realization.
Currently exploring opportunities to contribute to society and research institutions, building intelligent systems for the next generation of automation and IoT.
📫 Connect with me
-
LinkedIn → linkedin.com/in/felixsetiono
-
Email → felixyustian@gmail.com
A Senior AI Engineer with a rare dual-expertise: architecting low-level Edge AI systems using C/C++ and NVIDIA GPU optimization, while designing intelligent workflows using LLMs and Generative AI. Proven track record of translating complex machine learning research into real-world operational solutions, bridging the gap between hardware integration, automated data pipelines, and advanced AI models.
-
Email: felixyustian@gmail.com
-
LinkedIn: https://linkedin.com/in/felixsetiono
-
Facebook: https://www.facebook.com/felixyustian
-
Instagram: https://www.instagram.com/felixyustian/
-
Google Scholar: https://scholar.google.com/citations?user=W_NZMf4AAAAJ&hl=en
-
Applied Deep Learning: Computer vision, CNNs, Transformers, optimization, inference acceleration
-
Embedded AI & Robotics: Edge deployment, microcontroller integration, control algorithms
-
Data Engineering: ETL pipelines, data cleaning, visualization dashboards (Python, Pandas, Plotly)
-
Software & Tools: Python, C/C++, TensorFlow, PyTorch, OpenCV, ROS, Docker, FastAPI, SQL, Tableau, Google Cloud Platform (GCP), Amazon Web Services (AWS), Figma
-
🧩 AI-Robotics Integration – deep learning vision + embedded control for robotics platform
-
⚙️ Edge AI Deployment – optimized CNN model on microcontroller for object tracking
-
📊 Data Visualization Pipeline – real-time telemetry dashboard for robotics data streams
-
🤖 Automation Toolkit – open-source collection of ML utilities for hardware systems
SmartBridge Indonesia | February 2026 - Present | Remote |
Lead Trainer to deliver a comprehensive 30-hour Virtual Instructor-Led Training (VILT) on advanced Prompt Engineering for the "Last Mile Indonesia" program.
Key Responsibilities & Achievements:
-
Teaching advanced AI reasoning frameworks, including Chain-of-Thought (CoT), Tree-of-Thought (ToT), and Self-Consistency to enhance LLM output accuracy.
-
Educating participants on Prompt Architecture (RTCFC Framework) and deep-level model parameters (Temperature, Top-P, Top-K).
-
Guiding developers through "Vibe Coding" and intent-based problem solving using the Gemini ecosystem.
-
Specializing in Cost-Accuracy trade-offs, tokenization mechanics, and red-teaming/adversarial prompting for enterprise-grade AI safety.
SoftAge Information Technology Limited | February 2026 - Present | Remote | Freelance AI Image Data Contributor
-
Collaborating on the SrotPix Image Data Collection Project to generate high-quality, structured visual datasets for AI model training.
-
Producing complex image sequences across specialized categories, including Character Consistency, Nested Objects, and Object Interactions.
-
Ensuring strict adherence to dataset QA guidelines, managing metadata consistency, lighting continuity, and precise spatial framing to reduce rejection rates.
-
Gaining hands-on experience in the foundational data-gathering phase of the Generative AI lifecycle.
PostWork AI | October 2025 - Present | Remote |
Developing and training AI models before final public deployments, solving the customers' needs for software or applications, working in remote locations, and being paid hourly.
Soegijapranata Robotics Team | August 2014 - Present | Onsite |
Leading and advising robotics teams in various competitions, developing strategies for technical excellence, and mentoring students in robotics and mechatronics projects.
Soegijapranata Catholic University | May 2014 - Present | Onsite |
Teaching electrical engineering courses, conducting research in robotics and mechatronics, supervising student projects, and contributing to academic publications.
Soegijapranata Catholic University | August 2014 - March 2018 |
Managing laboratory operations, maintaining equipment, developing laboratory modules, and ensuring safety standards for electrical engineering experiments.
Electrical Energy Conversion Laboratory | January 2010 - August 2012 | Onsite |
Assisting in research projects related to electrical energy conversion, data collection, analysis, and experimental setup.
Electrical Energy Conversion Laboratory | August - December 2009 | Onsite |
Assisting in laboratory sessions, helping students with experiments, and grading assignments.
PT Astra Honda Motor | August 2007 | Onsite |
Gained practical experience in automotive manufacturing processes and quality control systems.
Professional Certification | April 2024 - October 2024
Institut Teknologi Bandung | January 2010 - August 2012
Soegijapranata Catholic University | August 2005 - December 2009
-
Computer Vision & Edge AI: CNNs, Inference Acceleration, OpenCV, Edge Deployment (Microcontrollers/IoT)
-
Generative AI & LLMs: Transformers, Agentic Workflows, Structured JSON Parsing, Prompt Engineering
-
Data & Backend Engineering: Python, FastAPI, ETL Pipelines, Data Visualization (Pandas, Plotly)
-
Systems & Infrastructure: C/C++, PyTorch, TensorFlow, ROS, Docker
-
Google Cloud Platform (GCP)
-
Amazon Web Services (AWS)
-
Indonesian (Native)
-
Javanese (Native)
-
English (TOEFL iBT 80)
-
French (DELF A2)
-
Japanese (Basic)
-
Korean (Basic)
-
Microsoft Windows
-
Linux
-
Microsoft Office
-
RTOS
-
Embedded C++
-
Teamwork
-
Social Integrity
-
Leadership
-
Determination
-
Project Management
- Edge AI & High-Performance Computing: TensorRT, Inference Acceleration, Quantization (FP16/INT8), NVIDIA Jetson ecosystem, Latency Budgeting.
- Applied Deep Learning: Computer vision, CNNs, Transformers, Sensor Fusion.
- Embedded AI & Robotics: Microcontroller integration, control algorithms, ROS, UAV/AUV systems.
- Software Architecture & Backend: Domain-Driven Design (DDD), Asynchronous Processing (FastAPI), PyTorch, C/C++, Docker.
- PPE Compliance Monitoring System: AI Edge Architecture: Enterprise-grade Machine Learning architecture designed for Edge Computing (NVIDIA Jetson). Features dynamic batching, TensorRT FP16 quantization with zero mAP degradation, PyTorch Forward Hooks for predictive tensor analysis (Layer Collapse mitigation), and an asynchronous FastAPI backend capable of handling 15 simultaneous 1080p RTSP streams under strict latency budgets (≤ 66.7 ms).
- Plankton Detection & Counting Case Study: Micro-object detection and taxonomic classification solution for microscopic images. Focuses on handling extreme class imbalance and population counting accuracy (Dense Object Counting).
-
Team SIRI - KRTI 2024: Autonomous Hexarotor UAV control system using Raspberry Pi and PyTorch-based computer vision for the Indonesian Flying Robot Contest.
-
Team SOUNDBOT - KRBAI 2024: Autonomous Underwater Vehicle (AUV) software stack for underwater navigation and object detection.
-
Team SAURO - KRTMI 2024: Autonomous Trash Collector Robot combining Arduino motor control with Raspberry Pi vision.
-
Synapse: An AI-powered meeting assistant that automatically generates summaries and extracts action items using LLaMA.
-
LangGraph Agent Test: Experimental implementation of cyclic, stateful AI agents on Google Cloud Platform.
-
Gemini Chatbot v2: A Node.js web application integrating Google's Gemini API for interactive conversations.
-
Next.js AI Chatbot: A modern chatbot UI built with Next.js 14, Vercel AI SDK, and OpenAI streaming.
-
Django Quiz App: An interactive quiz platform powered by Django and AI question generation.
-
Best Graduate Student - Academic excellence recognition
-
AOTULE Participant - International academic collaboration
-
Exchange Student - INP-ENSEEIHT, Toulouse, France
-
Presenter - Various international conferences and seminars
-
Advisor and Judge - Multiple robotics competitions
-
Google Student Ambassador 2025 - Mentor for university delegates
-
Pan-SEA AI Developer Challenge 2025 - Semi-Finalist / Top 100 Participants
-
BRIN AIDeNation 2025 - Finalist / Top 80 Participants
-
Maju Bareng AI Bootcamp 2025 by Hactiv8 Indonesia, Google & AVPN - Participant
-
Pijak from IBM Skills Build and Dicoding Indonesia - Participant
-
Microsoft Elevate 2025 by Microsoft Indonesia & Dicoding Indonesia - Participant
-
IDCamp 2025 by Indosat and Dicoding Indonesia - Participant
-
DBS Coding Camp 2026 by DBS Foundation and Dicoding Indonesia - Participant
-
AWS Back-End Academy 2025 by AWS and Dicoding Indonesia - Participant
-
JuaraGCP Season 12 - 2026 by Google Developer Group Indonesia - Participant
-
IEEE Regular Member
-
PII Regular Member
-
APDI Regular Member
-
Python Indonesian Society Member
-
Python Software Foundation (PSF) Member
I’m passionate about bridging theory and implementation — guiding ideas from algorithm design to hardware realization.
Currently exploring opportunities to contribute to society and research institutions, building intelligent systems for the next generation of automation and IoT.
I am also driven by first-principles engineering—bridging the gap between mathematical algorithm design and physical hardware realization. I thrive on solving complex bottlenecks in Edge environments, ensuring that AI models do not just perform well on paper, but execute flawlessly under strict latency and memory constraints in the real world.
📫 Connect with me
-
LinkedIn → linkedin.com/in/felixsetiono
-
Email → felixyustian@gmail.com