---
title: "Saikalyan Sathish - Product Engineer in Greater Bengaluru Area | Tal"
description: "Meet Saikalyan Sathish, Product Engineer @ FrontM | GenAI · AWS Bedrock · Node.js based in Greater Bengaluru Area. AI stack includes antigravity, claude code, and claude. Explore public work links including github."
image: "https://tal.club/meet/saikalyan-sathish/share-image"
---

# Saikalyan Sathish on Tal

## Headline

Product Engineer @ FrontM \| GenAI · AWS Bedrock · Node\.js

## About

I build production AI systems that real people use — from LLM features, RAG pipelines, and AI agents to the Node\.js/Python backends and AWS infrastructure behind them\. Currently at FrontM I work as a Product Engineer, building and maintaining 4 maritime microapps used by 500,000\+ users with zero downtime\. The apps run on AWS Lambda with Amazon Bedrock models\. I've worked on reducing Lambda cold\-start issues, implementing rate limiting to handle traffic spikes and control AWS costs, and maintaining GitHub Actions CI/CD pipelines for deployments\. Previously at IISc Bangalore • Built Finfin, a gamified AI\-powered financial literacy platform from scratch, serving 500\+ learners\. • Developed a LangChain \+ Groq RAG pipeline for automated question generation, reducing manual content creation by \~70%\. • Designed event\-driven microservices using RabbitMQ across 3 applications, deployed with Docker and Nginx, maintaining 99\.5% uptime\. • Built an agentic AI chatbot that schedules, reschedules, and cancels calendar events through natural\-language prompts\. Tech I work with AI/GenAI: LLMs, RAG, AI Agents, LangChain, Amazon Bedrock, Groq, Hugging Face, Vector Search, TensorFlow Backend: Node\.js, Python, FastAPI, REST APIs, RabbitMQ Cloud & DevOps: AWS Lambda, S3, EC2, CloudFront, Docker, Nginx, GitHub Actions Frontend & Databases: React, TypeScript, MongoDB, PostgreSQL B\.Tech in Artificial Intelligence from BMS College of Engineering \(2025\)\. Open to AI Engineer, GenAI Engineer, Backend and Full\-Stack roles in Bengaluru or remotely across India\. Email: sathishsaikalyan@gmail\.com GitHub: github\.com/saikalyan\-sathish

## Location

Greater Bengaluru Area

## AI stack

antigravity

claude code

claude

codex

deepseek

grok

## Work experience

Product Engineer at FrontM, Oct 2026 \- Present · 1 mo, Bengaluru, Karnataka, India · Hybrid, Building and running production AI\-powered maritime microapps on AWS\. • Own 4 production microapps used by 500,000\+ users, running with zero downtime • Run Amazon Bedrock LLM features on AWS Lambda; handled cold starts so AI responses stay fast under load • Added rate limiting on Lambda invocations to absorb traffic spikes and keep AWS costs predictable • Build backend APIs and data workflows in Node\.js and MongoDB; serve apps through S3 \+ CloudFront • Maintain GitHub Actions CI/CD pipelines for automated build, test and deployment

Product Engineering Intern at FrontM, Mar 2026 \- Sep 2026 · 7 mos, Bengaluru, Karnataka, India · Hybrid, • Built and shipped FrontM's maritime microapps from development to production on AWS Lambda, S3, EC2 and CloudFront • Integrated Amazon Bedrock models into customer\-facing product features • Built backend APIs and data workflows with Node\.js and MongoDB • Contributed to GitHub Actions CI/CD pipelines for automated builds, tests and deployments • Worked across app development, cloud infrastructure, debugging and production releases

AI/ML Engineer at Foundation for Science, Innovation and Development, IISc Bangalore, Jul 2025 \- Mar 2026 · 9 mos, Bengaluru, Karnataka, India, • Architected and built Finfin, a gamified AI learning platform for financial literacy, from scratch, serving 500\+ learners with personalised content paths • Engineered a LangChain \+ Groq RAG pipeline for dynamic question generation, cutting manual content creation time by \~70% • Designed an event\-driven microservices architecture with RabbitMQ connecting 3 apps \(learning platform, assessment engine, content management\) for better scalability and fault tolerance • Deployed the full\-stack app \(React, Node\.js, MongoDB\) on IISc's DMZ with Docker and an Nginx reverse proxy at 99\.5% uptime • Set up separate DEV/PROD environments with Docker Compose, cutting deployment failures by 80% and enabling CI/CD • Integrated OJS \(Open Journal Systems\) reviewer/editor workflows to streamline internal assessments

Fullstack AI Intern at Indian Institute of Science \(IISc\), Feb 2025 \- Jul 2025 · 6 mos, Bengaluru, Karnataka, India, • Built an agentic AI chatbot for a calendar platform that schedules, reschedules and cancels events from natural\-language prompts, turning multi\-step manual workflows into one command • Built an AI daily\-summary feature that generates context\-aware briefings of a user's schedule, improving engagement • Developed with React\.js and Node\.js in a production workflow \(Git branching, code reviews, CI/CD\) • Shipped end to end to a live production deployment serving real users

## Education

Bachelor of Technology \- BTech, Artificial Intelligence, B\. M\. S\. College of Engineering

12th Standard, Deeksha \- SGPTA

## Public links

- github: https://github\.com/saikalyan\-sathish

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

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