Hi, I'm Yuktha Gangadhari 👋
🎓 Final Year B.Tech Student in Artificial Intelligence @ UMIT Mumbai (CGPA 8.4/10)
🤖 AI Engineer — Building production LLM apps, agentic systems, and RAG pipelines
🚀 Fluent across the full stack: FastAPI · LangChain · LangGraph · React · MongoDB
📍 Mumbai, India · Open to Remote AI/ML Internships
🛠️ Skills
AI & LLMs LangChain · LangGraph · FAISS · HuggingFace · RAG · Multi-Agent Systems · Groq API · Prompt Engineering
Backend & APIs FastAPI · Node.js · REST API Development · MongoDB · PostgreSQL · Real-time Data Pipelines
Frontend React · TypeScript · Full-Stack Development
ML Deep Learning (LSTM) · Computer Vision (YOLOv8) · NLP · Model Evaluation · Model Optimization
Languages Python · JavaScript · TypeScript · C++
Dev & Infra Git · GitHub · CI/CD (GitHub Actions) · Cursor AI · GitHub Copilot · VS Code
🚀 Featured Projects
🤖 Autonomous Email Intelligence Agent
Node.js TypeScript Gmail API OAuth 2.0 LLaMA 3.1 (Groq)
Full agentic loop — Gmail ingestion → LLM intent classification → reply generation → auto-save drafts in ~20 seconds. 0.93 average confidence score. Token tracking + OAuth 2.0 packaged as production-ready CLI.
→ GitHub
💰 AI Finance Assistant
LangChain LangGraph FAISS FastAPI React Gemini API
Multi-agent LLM system with router + research agents. Indexed 9,189 chunks across 24 RBI annual reports via FAISS RAG pipeline. Returns answers in under 2 seconds with full token tracking and confidence scoring.
→ GitHub
📈 AI Stock Market Prediction (Live on Render)
Python LSTM NumPy Pandas
LSTM model trained on 5 years of historical data achieving 87% directional accuracy — outperforming moving-average baseline by 14 percentage points.
→ GitHub · Live Demo
🏠 AI Parking EV Optimizer
Python AI Optimization
Smart parking optimization for electric vehicles using AI-driven decision-making.
→ GitHub
💼 Experience
Technology Intern — AI/ML & NLP @ Infosys Springboard (Sep 2025 – Nov 2025)
Built SalesCallAssistant-Nexus — real-time sales call assistant for transcription, sentiment analysis, and conversation insights using FastAPI + NLP pipelines NLP pipelines processing ~50,000 records/run, cutting manual data handling by ~60% 6 production REST API endpoints — ~500 requests/day, sub-300ms response times CI/CD via GitHub Actions — reduced deployment time from ~1 hour to under 10 minutes Zero unplanned downtime over 2-month production engagement
🔨 Currently Building
Production RAG systems with advanced retrieval strategies Agentic AI workflows with tool use and memory Open source contributions in the LLM ecosystem
📫 Connect With Me
🔗 LinkedIn: https://www.linkedin.com/in/yuktha-gangadhari-a34302362/
📧 Email: yukthagangadhari@gmail.com
🐙 GitHub: https://github.com/yukthagangadhari5
⭐ "Ship fast. Build real. Make it work in production."