Amit Bhatt

About Amit Bhatt

Building production-grade AI systems that solve real business problems.With 7+ years of experience spanning data science and software engineering, I specialize in taking Generative AI and Large Language Models (LLMs) out of the sandbox and integrating them into scalable enterprise architectures.Currently, I am expanding my technical stack through a globally selective AI Engineering program with Andela (chosen alongside just 150 participants worldwide). During this professional sabbatical, I am actively architecting advanced RAG pipelines, building autonomous multi-agent workflows, and fine-tuning open-source LLMs to modernize my toolkit for the next generation of enterprise AI. & My engineering foundation is built on a mix of startup agility and enterprise scale. As one of the first five members of an early-stage startup, I learned early on how to wear multiple hats, ship iteratively, and align technical architecture directly with product vision.Most recently, I spearheaded AI innovation in the market research sector. By harnessing advanced NLP and LLMs, I led the development of AI-driven systems that automated end-to-end survey workflows, driving efficiency and actionable insights for leading global D2C brands.I thrive at the intersection of data, engineering, and cross-functional leadership - bridging the gap between what data scientists dream up and what software engineers can actually deploy. & : Generative AI, LLM Orchestration, RAG Pipelines, Multi-Agent Systems, NLP: High-Level/Low-Level Design (HLD/LLD), OOP, Software Design Patterns: Big Data Analytics, Vector Databases, RDBMS Integration: Cross-functional collaboration, Agile methodologies, Iterative product delivery.I am always open to connecting with fellow tech leaders, founders, and engineers. Whether it\'s discussing the future of agentic workflows or exploring new opportunities to build high-impact AI products - let\'s connect!

Experience

1. Senior Ai Engineer

   Andela

   Feb 2026 — Present

   Selected as one of only 150 participants globally for a highly competitive, 10-week AI engineering program designed exclusively for senior engineers to master enterprise-grade Generative AI.• Architecting LLM-powered applications with a focus on Retrieval-Augmented Generation (RAG) to build context-aware, enterprise-grade systems.• Developing expertise in LLM orchestration and Prompt Engineering, leveraging frameworks like LangChain to manage complex logic and data flows.• Designing and iterating on AI-driven workflows, focusing on the transition from traditional software architecture to agentic and autonomous systems.

Education

• Kendriya Vidyalaya

  High School, Science

  2013 — 2014

• National Institute of Technology Arunachal Pradesh

  Bachelor of Technology - BTech, Computer Science

  2014 — 2018