- 🎓 B.Tech CSE student at KIIT University, Bhubaneswar (2023–2027)
- 🤖 Building end-to-end Machine Learning systems — from data to deployment
- 🌱 Specializing in Generative AI & Agentic Workflows (LangChain, ReAct pattern, local LLM orchestration)
- ⚡ Focus areas: from AI/ML design to deployement.
- 🌐 Experienced in integrating ML models with APIs and interactive web applications
- 😄 Pronouns: He / Him
- 👯 I'm looking to collaborate on ML / AI projects — especially applied and real-world systems
- 🤔 Exploring scalable ML systems, local LLM inference optimizations, and advanced prompt engineering
- ⚡ Fun fact: I can debug code at 2am — and genuinely enjoy it
- Developing enterprise GenAI workflows, focusing on prompt engineering, agentic patterns, and containerized deployment.
- Implementing production code utilizing corporate Git protocols, environment isolation, and structured documentation.
- 🌾 AgriCareAI – Further features introduction and future implementations
- 🤖 Completing Generative AI course (LangChain, HuggingFace, RAG pipelines)
- 📊 Sharpening DSA & System Design fundamentals
- 💥 Exporing Cloud DevOps Engineering
- 🌾 AgriCareAI – Crop Health & Market Advisory System (Computer Vision + Regression + FastAPI)
- 🤖 Research Agent & Support Classifier – GenAI & LLM Orchestration
- 📊 Customer Churn Prediction System – End-to-End ML Pipeline
| Category | Technologies |
|---|---|
| 💻 Languages | Python, SQL |
| 🤖 Machine Learning | Scikit-learn, TensorFlow, CNNs, Transfer Learning |
| 🧠 Generative AI | LangChain, Agentic AI (ReAct), Prompt Engineering, Ollama |
| 📚 Libraries | Pandas, NumPy, Tiktoken, Pydantic |
| 🚀 Backend | FastAPI, Streamlit, Docker |
| 🛠 Tools | Git, Linux, VS Code, Google Colab |
| Certification / Milestone | Provider / Platform | Status |
|---|---|---|
| Complete Generative AI with LangChain & HuggingFace | Udemy · Krish Naik | 🔄 In Progress |
| Machine Learning A-Z: AI, Python & R + ChatGPT | Udemy | ✅ Completed |
| Smart India Hackathon 2025 | Government of India | 🏅 Participant |
| LeetCode | 100+ Problems Solved | 🚀 (63-E, 35-M, 2-H) |
| CodeChef | CodeChef | ⭐⭐ 2 Star (1463 max) |
I believe the best systems are:
📊 Rigorous (proper evaluation, cost-aware design, metrics over guesswork)
🚀 Deployable (containerized architectures that run seamlessly in production)
🌍 Purposeful (solving real enterprise and societal problems, not just chasing accuracy benchmarks)
📚 Learning relentlessly • 🛠️ Building intelligently • 🚀 Growing consistently