ML/AI Engineer · Python · PyTorch · LangGraph · FastAPI
Designing and building machine learning systems — from model training to production APIs.
role : ML/AI Engineer · building end-to-end intelligent systems
focus : Agentic AI · RAG Systems · LLMs · GenAI · Multimodal Learning · Recommender Systems
domain : Machine Learning · Deep Learning · Reinforcement Learning · NLP · Computer Vision · Generative AI
pipeline : data ingestion → feature engineering → model training → inference → REST API → production
deployed : FastAPI · Vercel · Render · Supabase · Docker
research : EEG-based attention classification · cross-subject biomarker discovery (BCI)
location : Hyderabad, Telangana, IndiaLanguages
ML / DL / AI
Agentic & LLM Frameworks
Backend & APIs
Frontend
Databases & Storage
Tools & Deployment
| Project | Description | Stack |
|---|---|---|
| LangGraph-ReAct-Reasoning-Agent | Tool-augmented reasoning agent using LangGraph ReAct loop with intent classification, multi-step reasoning, and a self-critique review pass. Supports Tavily search, Wikipedia lookup, and calculator tools. SSE streaming + FastAPI frontend. | Python LangGraph LangChain Groq Tavily FastAPI |
| Arxiv-RAG-Assistant |
RAG system for mechanistic interpretability research. Hybrid retrieval (dense + BM25 + RRF + reranking), intent-aware generation, full-text ArXiv paper ingestion. | Python FastAPI BM25 Qdrant Llama 3 |
| Project | Description | Stack |
|---|---|---|
| FasRec-AI-Engine |
Production-grade fashion recommendation platform for 44k+ products. SigLIP vision embeddings, BGE text embeddings, FAISS HNSW ANN, RRF fusion, LLaMA 3.3-70B outfit styling. FastAPI + React + Supabase. | SigLIP BGE FAISS LLaMA 3.3-70B FastAPI React Supabase |
| Simple-Arxiv-Paper-Recommender | NLP prototype recommending related arXiv papers via TF-IDF and embedding-based abstract similarity. | Python NLP TF-IDF |
| Simple-Fashion-Recommendation-System-Phase1 | Content-based fashion recommender using K-Means clustering on product attributes and image features. | Python K-Means |
| Project | Description | Stack |
|---|---|---|
| Loan-Collections-Recovery-Engine | End-to-end SQL + ML pipeline on the Home Credit dataset. Warehouse design (staging → dims → facts → marts), delinquency feature engineering, recovery propensity scoring with LightGBM, Power BI exports. | Python PostgreSQL SQLAlchemy LightGBM scikit-learn |
| Project | Description | Stack |
|---|---|---|
| AttentionEEG | Attention classification across multimodal EEG stimuli (audio, video, text). | Python MNE Scikit-learn |
| Modality-Invariant Biomarker Discovery | Identifying stable EEG biomarkers for attention that generalize across audio, video, and text modalities. | Python EEG Signal Processing |
| Project | Description | Stack |
|---|---|---|
| DbPedia Entity Classification | Multiclass text classification on DBpedia-14 using GCN and GraphSAGE architectures. | Python PyTorch Geometric |
| Project | Description | Stack |
|---|---|---|
| Protein Remote Homology Detection | Remote protein homolog detection via ESM-2 sequence embedding alignment and Smith-Waterman scoring. | Python ESM-2 |
| Project | Description | Stack |
|---|---|---|
| EstateCraft | Full-stack MERN platform for property listings with Stripe payments and role-based auth. | React Redux Node.js MongoDB Stripe |
| NourishNest | Nutrition and diet planning platform with recipe database and meal tracking via Spoonacular API. | Node.js Express MongoDB |
| Smart-Scheduler | Context-aware task scheduling assistant. | Python JavaScript |
| Smart-Pg-Review-Platform | PG accommodation review and discovery platform. | TypeScript |
| Project | Description | Stack |
|---|---|---|
| CSRF Attack & Defense Demo | Demonstrates CSRF vulnerability and OWASP-compliant defense mechanisms. | Node.js EJS |
