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hansitvarshney/README.md

Hansit Varshney

ML / AI Platform Engineer — continuous LoRA adaptation, LLMOps gateways, LangGraph agents, GraphRAG pipelines, production FastAPI systems.

B.Tech CSE (AI & ML) @ Sushant University · Gurgaon, India

📄 Resume (PDF) · LinkedIn · hansitvarshney@gmail.com

Featured Projects

Project Description Links
AdaptLoop Continuous LoRA adaptation — Redpanda/Bytewax signals → curated datasets → PEFT → LLM-judge + lag gates → sticky canary into LLMOps gateway Repo
LLMOps Gateway Async multi-tenant LLM proxy — dual-layer semantic caching, adapter routing + canary, circuit breakers, OpenTelemetry, 127+ tests Repo
EPCDash Enterprise EPC command center — LangGraph multi-agent ingestion, cash-flow auditing, deployed at SKIC Pvt. Ltd. Repo · Live demo
AEVAR GraphRAG financial audit pipeline — Pydantic-gated ingestion, Neo4j context, Gemini executive briefings Repo · Live demo

Portfolio loop: EPCDash (domain) → AEVAR (knowledge) → LLMOps (serve) → AdaptLoop (adapt)

Stack

Python · FastAPI · PEFT / LoRA · MLflow · Redpanda · Bytewax · LangGraph · RAG / GraphRAG · Redis · PostgreSQL · Neo4j · Qdrant · MinIO · Docker · Next.js · Streamlit

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  1. AdaptLoop AdaptLoop Public

    Event-driven continuous LoRA platform: Redpanda/Bytewax signals → curated datasets → PEFT → LLM-judge + lag gates → sticky canary into LLMOps gateway.

    Python

  2. EPCDash EPCDash Public

    Enterprise EPC Project Command Center. Features LLM-driven workflow automation, decoupled milestone tracking, and automated cash flow auditing. Bridges the gap between on-site engineering schedules…

    Python

  3. AEVAR AEVAR Public

    Autonomous financial governance and GraphRAG audit pipeline using Neo4j, Pydantic data validation, and the native Google GenAI SDK.

    Python

  4. llmops-gateway llmops-gateway Public

    Async multi-tenant LLMOps proxy gateway featuring dual-layer semantic caching (Redis + Qdrant), multi-provider resilience with automatic failover, distributed arq background telemetry tracking, and…

    Python