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Abhishek Gandhi

@abhishekgandhi

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AI/ML intern building agentic systems across LLMs, computer vision, and multi-agent workflows.

India

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What I'm looking for

I’m actively looking for an AI/ML role to apply my skills in AI, ML, Computer Vision, and Large Language Models (LLMs)—especially agentic and multi-agent systems, RAG pipelines, and reliable orchestration.

I’m an AI/ML-focused engineer currently pursuing an MTech in Computer Science and Engineering (AI & Data Science), with research focus on LLMs agents and Computer Vision. My work and coursework center on Machine Learning, Computer Vision, Deep Learning, NLP, and Data Science.

As an ML Intern at Neo, I worked on improving performance and reliability through workflow optimization, agent design enhancements, tool-call correctness, and end-to-end system validation. I also designed specialized agents (debugging and user-feedback) and used agent-lighting techniques for prompt optimization and agent training.

I’ve also built multi-agent and RAG systems using the OpenAI Agents SDK and LangChain, including Guardrails AI for reference validation and hallucination control. My projects include an end-to-end autonomous ML research/engineering system with an orchestrator and 15+ MCP tools, and a Hybrid MoE-MoR small language model implemented in PyTorch.

Experience

Work history, roles, and key accomplishments

Current

ML Intern

Current

Neo

Jan 2026 - Present (6 months)

Improved Neo’s performance and reliability through workflow optimization, agent design enhancements, tool-call correctness, and end-to-end system validation. Designed specialized agents (debugging and user-feedback) and used prompt optimization and agent training techniques.

Workflow Optimization

Current

AI/ML Intern

Current

Logicwind

May 2025 - Present (1 year 2 months)

Engineered a collaborative multi-agent system using the OpenAI Agents SDK, including a robust API for inter-agent communication and automated workflows. Built a scalable agent network with the Google Agents SDK, implementing a secure A2A protocol and a custom MCP tool for task orchestration and system monitoring.

OpenAI SDK Multi Agent Systems API Development Agent To Agent (A2A)Custom MCP Tools Agent orchestration System Monitoring

Education

Degrees, certifications, and relevant coursework

Ahmedabad University

Master of Technology (MTech), Computer Science and Engineering (AI & Data Science)

2024 -

Grade: GPA: 3.51/4

MTech in Computer Science and Engineering (AI & Data Science) with coursework in Machine Learning, Computer Vision, Deep Learning, NLP, and Data Science. Research focuses on LLM agents and Computer Vision.

Gujarat Technological University

Bachelor of Engineering (B.E.), Computer Engineering

2020 - 2024

Grade: GPA: 9.15/10

Bachelor of Engineering in Computer Engineering with coursework in Data Structures and Algorithms, Database Systems, and AI & Machine Learning. Final year project: AI-powered UX-Grader using YOLO, UIED, and CogVLM.