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Harsh ChainaniHC
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Harsh Chainani

@harshchainani

AI/ML engineer building practical agents, robust models, and secure automation.

India
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What I'm looking for

I’m looking for a role where I can build AI agents and applied ML systems—shipping end-to-end pipelines, evaluating robustness, and contributing to real-world products with strong engineering mentorship.

I’m an AI/ML-focused engineer with a background in Artificial Intelligence and Data Science, and I love turning research ideas into working systems. I’ve built agentic and ML pipelines that solve concrete problems through retrieval, detection, and robust inference.

My projects include a Retrieval-Augmented Generation QA agent using LangChain and vector databases, exposed as an MCP tool for LLM-client querying. I also built a U-Net lung CT segmentation model and evaluated robustness against FGSM and PGD adversarial attacks. For security, I developed an autonomous cyber defense agent using anomaly detection (Isolation Forest and decision trees) with simulated SOC workflows and automated response logic.

I’ve contributed to applied work through a multilingual AI chat & voice assistant (10+ languages) and an AI job-matching pipeline using LangChain/LangGraph with structured extraction. I secured 2nd place in an AI/ML hackathon for the voice assistant, and I co-authored research on proactive threat mitigation published at ICSICE 2026.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

Vivekanand Education Society’s Institute of Technology logoVT

Vivekanand Education Society’s Institute of Technology

Bachelor of Technology, Artificial Intelligence and Data Science

2022 - 2026

Grade: 8.45 (CGPA)

Activities and societies: Projects include a Retrieval-Augmented Generation QA agent (LangChain, ChromaDB), U-Net lung CT segmentation with adversarial robustness testing, and anomaly-detection-based autonomous cyber defense agent (Isolation Forest, Decision Trees).

Pursuing a B.Tech in Artificial Intelligence and Data Science at VESIT, with CGPA of 8.45. Completed major course-linked projects including a RAG QA agent and a lung CT segmentation model.

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