---
title: "VISHWA M - Lead AI Data Scientist & Solutions Architect in Chennai | Tal"
description: "Meet VISHWA M, Lead AI Data Scientist & Solutions Architect @ FarmwiseAI based in Chennai. AI stack includes gemini, langchain, and langgraph."
image: "https://tal.club/meet/vishwa-m/share-image"
---

# VISHWA M on Tal

## Headline

Lead AI Data Scientist & Solutions Architect @ FarmwiseAI

## About

As a Lead AI Data Scientist & Solutions Architect at FarmwiseAI, I design and deliver production\-ready AI products, leveraging expertise in SaaS development, solution architecture, and PostGIS\. With multiple Azure certifications, I contribute to cutting\-edge projects across geospatial, legal, and video AI, driving cost optimization and operational efficiencies\. My work includes reducing LLM inference costs by 45% and standardizing internal architectures to streamline new use\-case integrations\. Collaborating with enterprise and government clients, I translate complex, ambiguous challenges into scalable, deployed solutions\. By fostering teamwork and innovation, I aim to empower organizations with impactful AI\-driven tools while championing reusable frameworks and efficient workflows\. My goal is to continue building transformative technologies that align with organizational goals and make data\-driven decision\-making accessible and effective\.

## Location

Chennai

## AI stack

gemini

langchain

langgraph

mcp

## Work experience

Lead AI Data Scientist & Solutions Architect at FarmwiseAI, Mar 2025 \- Present · 1 yr 4 mos, Chennai, Architect and lead a team building production AI products end to end — owning design, delivery, and stakeholder comms\. \- Shipped 8\+ AI products in 12 months as both lead and IC across geospatial, legal, and video AI; cut time\-to\-prototype from weeks to under 5 days with reusable RAG and agentic templates\. \- Cut LLM inference cost \~45% through tiered model routing \(open\-source for low\-stakes, frontier for production reasoning\) and prompt\-caching\. \- Standardized an MCP\-based architecture letting any internal agent plug into shared tools — reducing new\-use\-case integration effort \~60%\. \- Own delivery directly for IAS\-level government and enterprise clients, translating ambiguous problems into deployed systems in 4–8 week cycles\. \- Mentor 4\+ data scientists on RAG design, LLM evaluation, prompt engineering, and full\-stack deployment\.

Lead Data Scientist at FarmwiseAI, 2025 \- Present · 1 yr 6 mos, Role: Architect & lead a team building production AI products end\-to\-end; own design, delivery & stakeholder comms\. Shipped 8\+ AI products in 12 months as lead \+ IC across geospatial, legal & video\-AI; cut time\-to\-prototype from weeks to <5 days via reusable RAG/agentic templates\. Cut LLM inference cost \~45% through tiered model routing \(open\-source for low\-stakes, frontier for production reasoning\) and prompt\-caching\. Standardized MCP\-based architecture enabling any internal agent to plug into shared tools — reducing new\-use\-case integration effort by \~60%\. Mentor 4\+ data scientists on RAG design, LLM eval, prompt engineering & full\-stack deployment\. Direct IAS / enterprise\-client ownership — translate ambiguous problems into deployed systems in 4–8 week cycles\.

Associate Data Scientist \(AI/ML Engineer\) at FarmwiseAI, Feb 2023 \- Mar 2025 · 2 yrs 2 mos, Chennai, Built end\-to\-end AI systems as an IC — from problem framing through production deployment on AWS and GCP\. \- Delivered 12\+ AI projects end to end — RAG, agentic, computer vision, OCR, and geospatial — owning the full lifecycle\. \- Built RAG over 100K\+ documents with hybrid retrieval \(FAISS \+ BM25 \+ re\-ranking\); achieved 90%\+ citation accuracy on a legal corpus and saved \~70% of research time\. \- Designed VLM\-based video analytics enabling natural\-language queries over CCTV footage — cutting review from hours to under 30 seconds\. \- Productionized 20\+ AWS Lambda \+ S3 services with cold\-start optimization, sustaining 99\.5%\+ uptime\. Pioneered Indic\-language voice and chat pipelines \(Sarvam STT \+ LLMs\), expanding reach into Tier\-2/3 markets\.

Intern at Data Science and Analytics Centre, Apr 2022 \- Mar 2023 · 1 yr, Coimbatore

## Education

Bachelor of Technology, Artificial Intelligence, karpagam college of engineering

[View the original profile](https://tal.club/meet/vishwa-m)

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