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Darshan Thakkar

@darshanthakkar

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I build GenAI backend systems, RAG applications, and enterprise APIs with Python and FastAPI.

India

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What I'm looking for

I'm looking to build high-accuracy GenAI and RAG systems, scalable Python backends, and enterprise APIs, with opportunities to improve AI performance, reduce latency, and work with AWS and modern LLM tooling.

I've built AI-powered backend systems and services with Python, FastAPI, Flask, and Django, focusing on enterprise-grade APIs, microservices, and AWS deployments.

At Accure Inc, I'm improving RAG accuracy through prompt enhancements and redesigning AI-integrated systems to reduce latency. Previously at Zignuts Technolabs, I developed real-time RAG chatbots, multimodal and multi-agent systems, and AI solutions with human-in-the-loop workflows.

I've also delivered GenAI learning and assessment platforms using LangChain, LangGraph, LangSmith, RAGAS, FastAPI, PostgreSQL, Firestore, MongoDB, Redis, and AWS. My work includes content-generation pipelines, automated evaluation, sentiment analysis, secure JWT-based applications, and scalable API development.

Experience

Work history, roles, and key accomplishments

Current

AI Engineer

Current

Accure Inc

Jul 2026 - Present (2 months)

Working on increasing accuracy of RAG using prompt enhancements. Streamlined processes and reduced latency by redesigning AI integrated systems.

RAG Prompt Engineering AI Systems Latency Optimization

Python Gen AI SDE

Zignuts Technolabs

Apr 2025 - Jun 2026 (1 year 2 months)

Specialized in Python, FastAPI, REST API and AI solution building. Designed backend architecture for enterprise-grade AI solutions and developed RAG chatbots with multimodal support and human-in-the-loop multi-agent systems.