---
title: "Ramaskanda R S - Engineering Manager in Bengaluru | Tal"
description: "Meet Ramaskanda R S, AI first Engineering Leader · LLMs · RAG · RLHF · Agentic AI · ASR/TTS · Multimodal · 2M+ Farmers · 10+ Languages · FarmerChat @ Digital Green · Building AI that works where the internet barely does based in Bengaluru."
image: "https://tal.club/meet/ramaskanda-r-s/share-image"
---

# Ramaskanda R S on Tal

## Headline

AI first Engineering Leader · LLMs · RAG · RLHF · Agentic AI · ASR/TTS · Multimodal · 2M\+ Farmers · 10\+ Languages · FarmerChat @ Digital Green · Building AI that works where the internet barely does

## About

AI built for 2 million farmers — in their language, on their device, in their world where the internet barely works\. That's FarmerChat\. I lead the engineering behind it\. Getting a model to work in a demo is easy\. Getting it to work for a farmer in Odisha — in odia, on a ₹5,000 Android, with 2G connectivity, with a question that has real consequences — that's a different problem entirely\. At Digital Green, I've spent 3 years solving exactly that\. The AI stack runs deep: \- LLMs & Generation: Production LLM pipelines for high\-stakes agricultural advisory — prompt engineering, context management, hallucination mitigation, response grounding \- Retrieval & RAG: Multilingual RAG with retrieval reranking across low\-resource languages — because a hallucination about a pesticide dose isn't a UX problem, it's a safety problem \- Fine\-tuning: RLHF on golden QA datasets curated by domain agronomists and MEL teams — model behaviour shaped by field expertise \- Agentic AI: Multi\-step reasoning workflows integrating weather APIs, market prices, Plantix, and crop calendars — the system resolves complex farmer queries autonomously across tools \- Speech: Multi\-vendor ASR/TTS — Google Chirp, Bhashini, Addis AI and others — language\-optimised per vernacular across 10\+ languages, because no single vendor wins every language \- Multimodal: Text, voice, and image interfaces — literacy and connectivity aren't prerequisites \- Analytics & Engagement: PostgreSQL database, Bigquery datawarehouse, MoEngage and Plotline for in\-app engagement and personalisation · Adjust for marketing attribution and growth tracking — each tool puroseful at scale\. \- Infrastructure & Platform: Microservices architecture on FastAPI, distributed systems deployed on AWS EKS — built for scale, resilience, and independent service deployability 3 million users across two products\. Before FarmerChat — BESCOM Mithra, 1 million citizens, Chief Minister of Karnataka recognition\. I hire for curiosity over credentials and build AI literacy across the whole team — no black boxes, no single points of failure\. Cross\-functional alignment with product, marketing, and MEL is what keeps the impact at scale — not just the code\. 14 years across the full stack\. Enough depth to know where things break\. Enough leadership to build teams that fix them\. AI & Data: LLMs · RAG · RLHF · Agentic AI · ASR/TTS · Multimodal · MoEngage · Firebase Engineering: Python · Django · PostgreSQL · AWS · Android PG in AI & ML\. Oracle Certified Java SE Programmer\. If you're building AI that needs to work beyond the demo — let's talk\.

## Location

Bengaluru

## Work experience

Engineering Manager at Digital Green, Apr 2024 \- Present · 2 yrs 2 mos

Assistant Engineering Manager at Digital Green, Apr 2023 \- Apr 2024 · 1 yr 1 mo, Bengaluru, Karnataka, India

Technology Lead at Digital Green, Apr 2022 \- Jul 2023 · 1 yr 4 mos, Bengaluru, Karnataka, India

Technical Lead Manager at BESCOM, Feb 2015 \- Apr 2022 · 7 yrs 3 mos, Bengaluru, Karnataka, India

Software Engineer at ROBERT BOSCH GmbH, Jul 2012 \- Feb 2015 · 2 yrs 8 mos, Bangalore

## Education

Post Graduation Diploma, Artificial Intelligence and Machine Learning, NIT warangal

Bachelor of Engineering \- BE, Computer Science, Bangalore institute of technology

[View the original profile](https://tal.club/meet/ramaskanda-r-s)

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