Hardik Batwal
@hardikbatwal
I build production-scale LLM, RAG, agentic AI, and voice platforms for real business problems.
What I'm looking for
I'm building production-scale AI platforms at KVGAI Tech, including AstroGanesh, an AI-native consultation product, and ZernyxHub, a patent discovery platform with semantic search across 45K+ patents.
I architect LLM orchestration, RAG, agentic workflows, real-time Voice AI, and cloud-native services using FastAPI, Next.js, PostgreSQL, Google Cloud, and Docker. My work includes multilingual conversational systems, enterprise document generation, workflow automation across WhatsApp, voice, SMS, email, and push notifications, and reliable distributed background processing.
Previously at Insighthread, I built AI-powered financial research capabilities, including a skills-based chatbot, 15+ MCP tools, and SEC-to-news pipelines processing 2.2M+ insider trades and 28M+ institutional holdings records. I also improved financial-search precision while eliminating embedding API costs through PostgreSQL full-text indexing.
I've also delivered large-scale analytics and cloud infrastructure at Cloudmess and computer-vision tools for precision agriculture at Agri Twin. I enjoy solving architecture, retrieval, data-pipeline, AI infrastructure, security, and production-deployment challenges that turn powerful models into dependable products.
Experience
Work history, roles, and key accomplishments
Senior AI Full Stack Engineer
Leading the architecture and development of production-scale AI platforms powered by Large Language Models (LLMs), Agentic AI, Voice AI, Retrieval-Augmented Generation (RAG), and cloud-native microservices.
• Architected AI-native web, mobile, and backend platforms using FastAPI, Next.js, React Native, PostgreSQL, and Google Cloud.
• Built a provider-agnostic LLM or
Insighthread AI is a US-based fintech startup building AI-powered financial research tools that turn SEC filings, earnings transcripts, and market data into actionable insights for investors.
•Architected a skills-based AI chatbot backend (FastAPI) with LLM-powered intent routing, ReAct reasoning engine, and parallel execution across 8 domain-specific financial research skills (financial analysis
Cloudmess is a UK-based, AI-first cloud engineering firm specialising in MLOps, DevOps, LLMOps, cloud cost-optimisation, and enterprise AI solutions. I contributed to high-impact infrastructure and analytics projects:
•Engineered and deployed a high performance company website using Nextjs, AWS Amplify,
DynamoDB and AWS SES enable secure, scalable communication and cloud-based data storage.
•Pro
An early-stage Australian startup revolutionising dairy farming through AI by building digital twins of farms to optimise productivity and cow health across Australia and New Zealand.
•Collaborated on building the Minimum Viable Product (MVP) for AgriTwin’s AI platform, focusing on precision agriculture solutions.
•Designed and deployed a CI/CD pipeline on Google Cloud Platform (GCP) to automate
Education
Degrees, certifications, and relevant coursework
Rajasthan Technical University, Kota
Bachelor of Technology - BTech, Computer science, Computer Science
Rajasthan Technical University, Kota
Bachelor of Technology, Computer Science
Pursued a Bachelor of Technology in Computer Science, focusing on core computer science principles and engineering fundamentals.
Tech stack
Software and tools used professionally
AWS Amplify
Superset
Google Cloud Platform
GitHub
Docker Cloud
GitHub Actions
React Native
Dask
PostgreSQL
Next.js
Redis
FastAPI
asyncio
Gemini
AWS Lambda
Serverless
Deepgram
WebRTC
SQL
Google Cloud Run
Clickhouse
LangChain
ChromaDB
Pinecone
LiveKit
Scale AI
Agentic
LangGraph
OpenRouter
Cartesia
Model Context Protocol (MCP)
Availability
Location
Authorized to work in
Job categories
Skills
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