- 🎓 3rd-year B.Tech CSE (AI specialization) student at GH Raisoni College of Engineering, Nagpur — CGPA 8.83/10
- 💼 Recently interned on the Data Transformation & Operations team at Infocepts Data & AI, automating enterprise data pipelines with AI-driven workflows
- 🧩 Currently building AgentOS, a distributed runtime for multi-agent LLM orchestration
- 💡 Driven by curiosity — I enjoy turning ambiguous, real-world problems into secure, scalable, production-ready AI systems, from architecture through observability
- 🚀 Open to opportunities to create value, learn from industry experts, and contribute to cutting-edge AI initiatives
- 📫 Reach me at chinchalkarparas@gmail.com
AI / Machine Learning
Agentic AI / Generative AI / LLM
Backend, Frontend & Infra
Databases & Caching
Tools & Deployment
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Distributed LLM Runtime Standardized runtime for distributed multi-agent execution — dynamic agent spawning, retries, dependency resolution, Redis Streams messaging, and a live observability dashboard.
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Secure LLM Middleware Centralized governance layer for enterprise LLM adoption — automatic PII masking via Microsoft Presidio, cost tracking, rate limiting, and real-time LLM-as-a-judge guardrails.
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Multi-Agent IT Orchestrator LangGraph-based orchestrator that categorizes and routes IT tickets, with a RAG-powered Tier-1 agent over ChromaDB and dynamic Tier-2 escalation.
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Continuous Adversarial Evaluation Automated adversarial testing pipeline simulating prompt injection, jailbreaks, and data leakage, with a live dashboard tracking safety metrics across models.
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| Project | Contribution |
|---|---|
| Google DeepMind — Project Torax | Fixed distributed simulation collisions via UUID-based identifiers; improved JAX callback handling |
| CHAOSS — Augur | Co-authored docs standardizing Python 3.7–3.11 support and ML worker dependency compatibility |
- 🥈 Strong placement — Apex AI Hackathon (GHRCE)
- 🎯 L2 Interview Round — HackWithInfy (Infosys)
- 🇮🇳 Smart India Hackathon (SIH) — full-stack web app for the Forest Rights Act problem statement
- 🚀 Finalist across multiple national/international AI & ML hackathons
- IBM AI Engineering Specialization · 165+ hrs · Coursera — ML, Deep Learning, PyTorch, TensorFlow, GenAI, RAG, LangChain
- IBM Applied Data Science Specialization · 80+ hrs · Coursera — Python, EDA, Data Viz, ML, Dashboarding
- Ultimate RAG Bootcamp · LangChain / LangGraph / LangSmith · Udemy, 2026
- LLMOps and AIOps Bootcamp · Udemy, 2025 — Deployment, Monitoring, Production AI Systems