Vinit Pandya
@vinitpandya
I build production AI agents, GPU-optimized inference systems, and end-to-end MLOps platforms.
What I'm looking for
I've built production-grade AI systems across agentic LLMs, GPU inference, and full-stack MLOps. At Mira Technologies, I developed a fiber-optic intrusion detection system and reduced end-to-end inference latency from 4.0 seconds to 0.5 seconds through NVIDIA GPU acceleration.
I won 1st Prize at the AMD AI SPRINT at IIT Bombay for an autonomous LangGraph scheduling agent running Llama 3.1 through vLLM on AMD MI300 GPUs. I've also built Optimus, a Streamlit MLOps platform for computer-vision workflows, Dockerized Flask model APIs, AI-powered document chat with local LLMs and RAG, and IoT-enabled agricultural disease detection systems.
Experience
Work history, roles, and key accomplishments
AI Research Intern
Mira Technologies
Aug 2025 - Nov 2025 (3 months)
Developed a real-time perimeter security solution using fiber optic sensing data, designed and trained PyTorch models for intrusion detection, and optimized the pipeline for NVIDIA GPU acceleration, reducing latency by 75%.
Education
Degrees, certifications, and relevant coursework
Marwadi University
Bachelor of Technology, Computer Engineering (AI)
2022 -
Grade: CGPA: 8.99
Activities and societies: Leadership roles in GDSC and IEEE, co-organized national-level hackathon for 100+ participants.
Pursuing a Bachelor of Technology in Computer Engineering with a focus on AI, maintaining a CGPA of 8.99. Actively involved in leadership roles in GDSC and IEEE, including co-organizing a national-level hackathon for over 100 participants.
National University of Science and Technology Politechnica Romania
Exchange Program, Engineering
2024 - 2024
Grade: 10/10
Participated in the Erasmus+ Student Exchange Program, achieving a grade of 10/10.
Availability
Location
Authorized to work in
Job categories
Skills
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