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