B.Tech Graduate, NIT Warangal · Open to opportunities
M. Sahil Singh
Full-Stack AI Engineer
Building production-grade systems across the stack — Node.js and Python backends, React frontends, and LLM integrations using OpenAI, Anthropic, and HuggingFace. Hands-on with RAG pipelines, LLM agents, and reinforcement learning, deployed on Docker and AWS.
4
Production AI projects shipped
90%+
RAG retrieval accuracy, 10K-page corpora
800+
DSA problems solved
Top 1.5%
JEE Mains 2021, AIR ~13,000
01 — Skills
Technical toolkit
Languages
Frontend
Backend
Databases
AI / ML
DevOps / Cloud
Analytics
Other
02 — Work
Featured projects
Four production-oriented systems spanning full-stack infrastructure, retrieval-augmented generation, agentic tool-use, and reinforcement learning.
01
2026
AI-Augmented Full-Stack Chat Platform
Node.js · Express · PostgreSQL · Docker · OpenAI API · JWT · AWS EC2
Fault-tolerant chat backend with JWT authentication, horizontal database sharding, and asynchronous message queues, with OpenAI API integration for AI-assisted replies. Containerized with Docker and validated for horizontal scaling on AWS EC2; PostgreSQL schema indexed for sub-50ms queries, with a GraphQL endpoint for flexible client access.
Designed for: messaging products that need reliable delivery at scale plus an AI reply layer — the kind of infrastructure behind customer support or team chat tools.
02
2024
RAG Document Q&A Assistant
LangChain · GPT-4 · FAISS · FastAPI · Streamlit · AWS
End-to-end Retrieval-Augmented Generation system ingesting PDFs into a FAISS vector store, achieving 90%+ retrieval accuracy across 10,000-page corpora. Deployed on AWS EC2 with per-user sessions; hallucinations cut 35% through re-ranking and prompt guards, with streaming responses and conversation memory via FastAPI.
Designed for: answering questions over large document sets — research papers, policy manuals, or internal knowledge bases — with plagiarism-detection hooks for academic-integrity use cases.
03
2026
LLM-Powered Agentic Trading System
LangChain Agents · GPT-4 · Python · yFinance · Pandas
Multi-tool LLM agent that retrieves live OHLCV market data, runs RSI/MACD/Bollinger Bands technical analysis, and generates chain-of-thought trade rationale through function calling. Achieved 12% simulated portfolio growth in testing.
Designed for: automated, explainable market analysis — the tool-use pattern applies directly to AI-powered assessment and feedback pipelines outside of finance.
04
2025
Dynamic Pricing Engine — Dueling DDQN + LLM Explainer
PyTorch · Reinforcement Learning · OpenAI API · Gym
Reinforcement-learning pricing agent (Dueling DDQN) layered with a GPT-4 explainer that translates each pricing decision into business-readable rationale. Delivered an 18% revenue lift through optimized pricing actions, with a Power BI dashboard for stakeholder reporting.
Designed for: e-commerce or subscription businesses that want dynamic pricing decisions that are both optimized and explainable to non-technical stakeholders.
03 — Experience
Where I've worked
Power Systems Simulation Intern
NIT Warangal
Built MATLAB/Simulink models for AC-DC conversion and PWM strategy analysis, improving waveform stability — engineering rigor applied to complex, safety-critical systems.
Jun – Aug 2024
Education
B.Tech, Electrical & Electronics Engineering
NIT Warangal · 2022 – 2026
Achievements & Certifications
JEE Mains 2021 — 98.48 percentile (AIR ~13,000)
800+ DSA problems — LeetCode & GFG
Goldman Sachs Risk Job Simulation
Commonwealth Bank SWE Simulation
Microsoft Power BI using AI
Google Analytics
AI-Powered Ads
AI-Powered Sentiment Analysis
SQL using AI
BE10x AI Tools Workshop
04 — Contact