Heramb Bhoodhar

About Heramb Bhoodhar

Hey, I’m Heramb I’m a fourth-year engineering student passionate about building intelligent and scalable systems at the intersection of AI, DevOps and Web Development. My journey blends creativity with computation from crafting seamless user interfaces to developing AI-driven tools that make technology more intuitive and accessible 🧠 Generative AI & Machine Learning: Currently, I’m exploring the exciting frontier of GenAI from LLM-powered agents and RAG pipelines to document intelligence systems. I’m deeply curious about how AI can understand, reason, and create — and I’m building solutions that bridge human creativity with machine intelligence. Full‑Stack & Web: I build interactive, high‑performance digital experiences using Next.js, Node.js, and distributed system design principles. I enjoy turning ideas into scalable products by combining strong backend architectures with clean, dynamic frontends—delivering experiences that are fast, reliable, and impactful. Containerization & Cloud Ecosystem: With Docker and Kubernetes, I’m learning to deploy and scale applications efficiently. Cloud-native architectures fascinate me I love experimenting with AWS and DevOps pipelines that bring reliability to innovation. Linux & Open Source Mindset: As a full-time Linux user, I appreciate the transparency, power, and control it offers. I actively contribute to open-source projects and lead initiatives to help peers explore the open-source world through my college club, Team Quark.

Experience

1. Research and Development Intern

   Synopsys Inc

   Jan 2026 — Present

   Optimized Vector DB (Milvus) collection setup update time from 40 minutes to 8 ~ 10 minutes by implementing an efficient conditional update mechanism- Migrated the OOP‑based Python Query Decomposition workflow to a procedural Go implementation, improving performance and reducing code‑exposure risks for secure client‑side execution of Ansys Mechanical- Implemented a Custom Reranking Mechanism in Go to replicate Milvus’s reranking logic for hybrid search, achieving ~95–100% parity with Python outputs across large query sets- Validated full Mechanical Copilot chatbot integration and tested end‑to‑end workflows on ARM Test environment.

Education

• K. K. Wagh Polytechnic

  Diploma of Education, Computer Science

• Vishwakarma Institute Of Technology

  Bachelor of Technology - BTech, Artificial Intelligence & Data Science