GenAI
RAG, retrieval evaluation, LangGraph workflows, LLM interfaces.
I am Tushar Ghosh, a B.Tech CSE student at IIIT Nagpur specializing in Data Science and Analytics. I build governed AI systems, cyclic RAG workflows, ML APIs, analytics products, and reliability-focused platforms that move from evidence to action.
I like building complete systems: ingestion, retrieval, modeling, APIs, interfaces, deployment, and evaluation. My strongest work sits where GenAI, ML engineering, reliability, and practical data workflows meet.
I am especially interested in internships and roles across AI engineering, GenAI/LLM applications, data science, analytics engineering, and applied ML.
RAG, retrieval evaluation, LangGraph workflows, LLM interfaces.
SQL analysis, feature engineering, dashboards, KPI systems.
FastAPI inference, Streamlit apps, Docker, deployment, CI.
Governed expense operations platform with deterministic policy enforcement, durable n8n workflows, advisory AI agents, human approvals, SHA-256 provenance, notifications, and real-time SSE updates.
Python / FastAPI / React / PostgreSQL / n8n / MCP AI Revenue RecoveryExplainable payment-recovery system combining ML triage, gateway-health intelligence, LangGraph decisions, deterministic guardrails, human approval, and A/B evaluation.
Python / FastAPI / LangGraph / PostgreSQL / Redis / React Speech AISpeech annotation pipeline for TTS/dubbing data with diarization, emotion classification, language ID, checkpointing, CLI, and HF Spaces deployment.
PyTorch / pyannote / wav2vec2 / Whisper / Streamlit Cyclic Agentic RAGEvidence-grounded RFP analysis with adaptive retrieval, evidence grading, Tavily fallback, query rewriting, deterministic proposal tools, citation verification, and bounded answer repair.
Python / LangGraph / ChromaDB / FastEmbed / Streamlit GenAI / RAGLocal-first SEC filing RAG with section-aware parsing, hybrid dense and BM25 retrieval, reranking support, grounded citations, source URLs, no-answer handling, and evaluation tooling.
Python / ChromaDB / BM25 / Streamlit / SEC EDGAR Computer VisionComputer vision intelligence platform with YOLOv8 detection, CLIP change detection, modal fusion, geolocation, REST APIs, tests, and CI.
PyTorch / YOLOv8 / CLIP / React / Docker Forecasting + BINYC taxi demand platform over 9.55M trips with leakage-safe zone-hour forecasting, constrained fleet allocation simulation, route clustering, dashboard delivery, and a FastAPI service.
Python / scikit-learn / Streamlit / FastAPI / Geospatial Retail AnalyticsEnd-to-end retail analytics workflow turning purchasing, sales, pricing, and freight data into vendor profitability, concentration, inventory, and decision-support insights.
Python / pandas / SQLAlchemy / SQLite / Power BI Vision-Language MLLoRA fine-tuning and evaluation pipeline for SmolVLM that extracts company, address, date, and total as canonical JSON from receipt images.
PyTorch / Transformers / PEFT / LoRA / SROIE AI PlatformFull-stack AI workspace with LangGraph routing across research, coding, documents, images, vision, and PDF RAG, backed by persistent context and service boundaries.
Node.js / Express / LangGraph / MongoDB / Redis / QdrantPython, SQL, TypeScript, JavaScript, C++
LangChain, LangGraph, RAG, MCP, reranking, Hugging Face, PEFT, LoRA
scikit-learn, XGBoost, PyTorch, Transformers, forecasting, anomaly detection
Pandas, NumPy, SciPy, Plotly, Power BI, DAX, SQLite, vendor analytics
YOLOv8, OpenCV, CLIP, Whisper, pyannote, VLM fine-tuning
FastAPI, React, Docker, PostgreSQL, Redis, n8n, GitHub Actions, Render, Vercel
B.Tech CSE, Data Science & Analytics / Graduating 2027
Focused on applied machine learning, data systems, deep learning, analytics, and production-style AI applications.
I am open to internships, entry-level roles, and collaborations in AI engineering, GenAI applications, ML engineering, and data science. Got a project, role, or idea? My inbox is always open.