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tusharg007/README.md

Cinematic animated banner showing an AI engineer working at a modern coding setup

AI Engineer building context-aware agents, reliable AI systems, and the infrastructure around them.
B.Tech CSE - Data Science & Analytics at IIIT Nagpur - 2027

Typing animation

Portfolio Email LinkedIn GitHub

What I build

  • Context-aware AI systems - governed context, policies, provenance, trust signals, MCP interfaces, and controlled actions.
  • Stateful agents - LangGraph orchestration, tool use, persistence, human review, grounding, and failure handling.
  • AI infrastructure - FastAPI/Node services, retrieval, databases, integrations, observability, CI, and evaluation harnesses.

I care as much about what happens when the model is wrong as when it is right.

Featured Work

Project What it demonstrates Tech
North Star - Governed Context & Workflow System A governed expense-operations system built around explicit, versioned context, deterministic policy boundaries, provenance, abstention, human approval, and MCP as a controlled interface. Python, FastAPI, PostgreSQL, MCP, n8n, Metabase, Docker, GitHub Actions
TripBandhu - Stateful Agentic Travel Research A travel-research agent with LangGraph supervisors, specialist tools, typed evidence, checkpoints, provider fallback, human review, and deterministic evaluation. LangGraph, MCP, FastAPI, PostgreSQL, LangSmith, Docker, GitHub Actions
CortexAI - AI Developer Platform & Integration Workspace A locally operational AI workspace with service boundaries, reusable platform primitives, persistent context, and workload-specific routing across research, coding, documents, images, vision, and PDF RAG. Node.js, Express, LangGraph, MongoDB, Redis, Qdrant, AWS S3, React

Other work

Project What it demonstrates
Internal RFP Analyst Evidence-grounded document intelligence and retrieval agent.
Financial Document Intelligence Hybrid dense + BM25 + reranking pipeline for SEC filings.
SifraAI Deployed voice-enabled AI assistant platform.

How I build

AI is part of my normal build loop, but I do not treat "the agent says it works" as completion. I use coding agents for repo exploration, implementation, tests, repetitive changes, and debugging, then verify behavior with tests, CI, traces, logs, and the running system. The architectural and product decisions stay mine.

Technical Skills

Core technical skills

Area Tools and Technologies
Agents & GenAI LangGraph, LangChain, Model Context Protocol (MCP), RAG, tool calling, structured outputs, HITL, guardrails, agent evaluation
Backend & Data Python, FastAPI, Node.js, Express, PostgreSQL, MongoDB, Redis, SQL, Qdrant
Reliability & Infrastructure pytest, GitHub Actions, Docker, LangSmith, observability, provenance, failure handling
Integrations AWS S3, Tavily, n8n, Metabase, Firebase

About / Current Direction

IIIT Nagpur. B.Tech CSE - Data Science & Analytics. Graduating 2027. Currently focused on AI engineering, agentic systems, and applied AI infrastructure. Looking for a 6-month full-time internship starting September 2026.

GitHub Activity

Contribution activity graph

GitHub stats Top languages by repository Top languages by commit

Profile views

Contact

I am open to internships and project collaborations in AI engineering, agentic systems, and applied AI infrastructure.

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  1. Internal-RFP-Analyst Internal-RFP-Analyst Public

    Evidence-grounded LangGraph RAG agent for RFP analysis with scoped retrieval, deterministic tools, citations, grounding checks, 119 tests and CI.

    Python 1

  2. SifraAI SifraAI Public

    Deployed platform for configurable, embeddable voice AI assistants using React, Express, MongoDB, Gemini, Firebase and the Web Speech API.

    JavaScript

  3. financial-document-intelligence-rag financial-document-intelligence-rag Public

    Hybrid RAG system for SEC filings using dense retrieval, BM25, reciprocal-rank fusion, cross-encoder reranking, citations and evaluation.

    Python

  4. rideiq-nyc-demand-forecasting rideiq-nyc-demand-forecasting Public

    Demand forecasting and fleet-allocation intelligence over 9.55M NYC taxi trips with leakage-safe features, ML evaluation and route clustering.

    Jupyter Notebook

  5. ai-platform-reliability-copilot ai-platform-reliability-copilot Public

    AI reliability copilot for synthetic service telemetry with runbook retrieval, log analytics, anomaly detection and incident summaries.

    Python