Full Stack + GenAI Developer | Building RAG, Multi-Agent & AI Applications | React • FastAPI • LLMs

Pune District, Maharashtra, India

MIT World Peace University

Bachelor of Technology, Computer Engineering
MIT World Peace University
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Download Tal BossFull Stack + GenAI Developer | Building RAG, Multi-Agent & AI Applications | React • FastAPI • LLMs
I’m a Full Stack Developer and GenAI Engineer passionate about building intelligent products that combine scalable software engineering with modern AI systems. My work spans end-to-end product development—from designing responsive web applications to building production-oriented Generative AI workflows using LLMs, RAG pipelines, multi-agent architectures, and structured data systems. Recently, I completed my internship as a GenAI Intern at Neuleap AI, where I worked on AI applications involving retrieval-augmented generation (RAG), multi-agent orchestration, NL→SQL systems, document intelligence, and full-stack integration. I’ve built projects ranging from a real-time Mental Health Sentiment Analyzer using DistilBERT and FastAPI to agent-based AI systems integrating LangChain, vector databases, and intelligent retrieval pipelines. On the engineering side, I work across React, Node.js, FastAPI, MongoDB, SQL, Supabase, and modern deployment workflows. My focus is turning advanced AI capabilities into reliable, intuitive user experiences—building systems that are not only technically strong but genuinely useful. Core Interests: • Generative AI • Multi-Agent Systems • Retrieval-Augmented Generation (RAG) • Full Stack Development • NLP & Applied ML • AI Product Engineering Currently seeking opportunities in Generative AI, Full Stack Engineering, and Applied AI to build impactful products and continue learning at scale.
Pune District
GenAI Intern at NeuLeap.AI, Jan 2026 - May 2026 · 5 mos, Pune District, Maharashtra, India
MIT World Peace University
Bachelor of Technology, Computer Engineering, MIT World Peace University