I build production-grade, auditable AI applications with explicit guardrails, grounded outputs, human review, and verifiable evaluation.
I'm an AI & Backend Engineer based in Pune, India, graduating in AI & Data Science from AISSMS IOIT. My work focuses on the systems engineering behind reliable LLM and agentic software: structured outputs, LangGraph state machines, pgvector RAG pipelines, deterministic guardrails, Model Context Protocol (MCP), human-in-the-loop approvals, and high-performance FastAPI backends.
- Core Focus: Agentic AI, Applied GenAI, RAG Pipelines, and AI Backend Systems
- Toolkit: Python, FastAPI, LangGraph, LangChain, PostgreSQL, pgvector, Redis, Docker, Next.js, TypeScript
- Certifications: Anthropic MCP (Advanced Topics), Anthropic Claude API, Azure Fundamentals (AZ-900)
- Status: Available immediately for AI Engineering, Applied GenAI, and Backend roles globally
| Project | What it Demonstrates | Evidence & Links |
|---|---|---|
| AgentOS | Enterprise AI Agent platform with pgvector RAG, Model Context Protocol (MCP) tools, deterministic guardrails, HITL approvals, Redis caching, and real-time Next.js streaming | Async SQLAlchemy, Alembic migrations, 33 automated tests, Mermaid architecture · GitHub |
| LeadForge AI | Multi-agent sales SDR platform with LangGraph review/revision state machine, Tavily web search grounding, ChromaDB RAG, and automated evaluation | Deterministic tests, 10-company evaluation dataset, Docker, Railway + Vercel · Live Demo |
| PeakCollect AI | Accounts-receivable AI assistant featuring deterministic financial policy controls and immutable invoice boundaries | 22-case automated evaluation suite, auditable traces, policy rules · Live Demo |
| Hospital Management API | Healthcare REST API with role-based JWT/OAuth2 authentication, PostgreSQL persistence, and an ML pipeline for insurance premium predictions | Scikit-learn inference pipeline, Dockerized FastAPI service, Streamlit UI · GitHub |
More Selected Projects
| Project | Focus |
|---|---|
| Portfolio | Personal portfolio website built with Next.js 16, TypeScript, Tailwind CSS, Framer Motion, and an AI chat buddy |
| Work Intake Agent | Single-user work-intake prototype on Cloudflare Workers edge runtime with bounded tools and approval gates · Live Demo |
| PreCheck | Civic-tech application pre-check prototype with deterministic validation rules and synthetic data benchmarks |
| AI-DocParser | Agriculture hackathon MVP using pre-computed NDVI overlays and optional Gemini document extraction |
Ground the input → Validate the schema → Bound the tools → Require review
→ Persist evidence → Evaluate failures → Document boundaries
I build systems whose behavior can be inspected, tested, and audited. Model output is verified against deterministic boundaries, external tools are strictly bounded with human approval gates, and evaluation suites ensure benchmarked quality.
I'm actively interviewing for Junior AI Engineer, Applied GenAI Developer, and AI Backend Engineer roles.
- Email: sohamgudewar10@gmail.com
- Phone: +91-9850880816
- LinkedIn: soham-gudewar-9861561ab
- ORCID: 0009-0005-8703-0943
