>_ cd ~/sreenivasanac
terminal@sreenivasanac:~
whoami
Portrait of Sreenivasan AC

Sreenivasan AC AI Software Engineer

AI Software Engineer with 9+ years building production systems across FAANG (Google, Apple), and high-growth startups. I specialize in AI Enablement - Agentic systems, Software Automation, multimodal RAG pipelines, on-prem LLM deployments for domains like Enterprise, Customer Support, HealthTech, Legal.

GitHub LinkedIn X / Twitter View Resume

Work Experience

$ ls -la ./experience | sort -r

Brahmasumm AI

Founding Engineer · Enterprise AI Document Intelligence

Bangalore, India
Nov 2024 – Jul 2025
Enterprise RAG Agentic systems Azure Document Intelligence Vector DBs On-prem LLMs
  • Designed and developed RAG pipelines processing 50GB+ datasets for Fortune 500 clients, implementing multi-modal extraction for PDFs, presentations, and spreadsheets.
  • Successfully deployed secure on-premises LLM solutions for clients Lawrence Berkeley National Lab (discoverers of 18+ periodic elements) and NYSE-listed ATMUS Filtration.
  • Achieved sub-second query response times through intelligent chunking strategies and vector database optimization (ChromaDB, Pinecone).
  • Spearheaded end-to-end development of critical features including multi-modal file processing, citation functionality, and knowledge base partitioning. See more...

Google

Senior Software Development Engineer · Google Cloud Platform

Sunnyvale, California, USA
Mar 2020 – Jun 2022
Python Kubernetes Workflow Automation Network Ops
  • Developed end-to-end implementation of planning and task generation system for Google Cloud datacenter operations.
  • Created dynamic planning system to transform static Excel-based workflows into dynamic, automated processes handling 1000+ daily operations.
  • Engineered automated workflow for 200+ rack migrations in Google datacenters, reducing manual intervention by 80%.
  • Built intelligent reachability zone calculation system for server configurations, optimizing fiber utilization and reducing infrastructure costs by 15%.
  • Implemented comprehensive alerting framework for build workflows, reducing mean time to detection (MTTD) from hours to minutes. See more...

Apple

Senior Software Development Engineer (Contract) · Cloud Technologies

Sunnyvale, California, USA
Jun 2022 – Apr 2023
Python REST APIs Cron Jobs Cloud Analytics Cost Optimization
  • Designed and developed Cloud Usage Insights platform using Python microservices and RESTful APIs, delivering AI-driven analytics that enabled $240,000 in cost savings.
  • Developed data pipeline using Python cronjobs, aggregating cloud usage metrics from multiple sources.
  • Applied Software design patterns (Factory, Strategy) extensively for code maintainability and extendability of enterprise systems. See more...

Fathom Health

Software Development Engineer · ML Platform for Medical Coding

San Francisco, California, USA
Sep 2019 – Mar 2020
Healthcare AI OCR Apache Airflow HIPAA
  • Architected OCR pipeline processing 900K+ HIPAA-compliant medical records, implementing text extraction and parsing for downstream Spark/BigQuery ML training.
  • Designed and deployed EFK (Elasticsearch, Fluentd, Kibana) stack for comprehensive log aggregation and analysis, improving system visibility and reducing troubleshooting time by 60%. See more...

Invento Robotics

AI Engineer · Humanoid Robot Platform

Bangalore, India
Apr 2018 – Jul 2018
Conversational AI RASA NLU NVIDIA Jetson AWS Lambda Functions
  • Developed offline NLU and conversation system for humanoid robot Mitra using RASA framework on NVIDIA Jetson TX2.
  • Implemented Alexa Skills using AWS Lambda for voice-controlled guest registration and recommendation systems.
  • Built chatbot interface using React.js/React Native with modular, extensible components. See more...

Groupon

Software Development Engineer

Palo Alto, California, USA
Jun 2014 – Jun 2017
ReactJS Ruby on Rails Microservices React
  • Co-architected mobile-responsive web application in ReactJS for Card Linked Offers, used by 500+ sales representatives to create Groupon deals.
  • Automated contract-signing process through DocuSign API integration, saving $40,000+ monthly.
  • Owned Contract Service and Fine Print API microservices, transforming static Google Spreadsheet workflows into dynamic API-driven processes.
  • Enhanced Deal Creation Tool with new features and performance improvements, supporting thousands of daily transactions. See more...

Education

$ cat ./education

Georgia Institute of Technology

MS Computer Science · AI / Machine Learning

Atlanta, USA
Aug 2017 – May 2019

Deep Learning · Computer Vision · Natural Language Processing · Reinforcement Learning · Graduate Teaching Assistant for Deep Learning (CS7643)

Featured Projects

$ ls ./projects --featured --preview

Namesmith Agents

Autonomous multi-agent system that analyzes domain markets end-to-end—from discovery and scoring to purchase orchestration.

Orchestrates registrar automation, portfolio insights, and alerts for expiring domains.

Multi-agent systems LangGraph Agentic Workflows Automation
Demo Code Architecture
Brahmasumm AI Demo

Brahmasumm Document AI

RAG platform with on-prem LLM deployment, multimodal ingestion, and citation & other AI features for Fortune 500 teams.

Delivered secure document intelligence for clients - Lawrence Berkeley National Lab and ATMUS Filtration.

Azure LangChain Vector DBs
Enterprise deployment Website
Quora Activity Analytics dashboard preview

Quora Activity Analytics

Agentic web scraping pipeline transforming 20K+ Quora answers into actionable dashboards with anti-bot detection.

Powers longitudinal insights with automated ETL, anomaly detection, and PostgreSQL warehousing.

Python Scrapy PostgreSQL
Code Anti-detection Web scraping
Longevity Coach

Longevity Coach - Health AI

Longevity Coach grounded in research articles, delivering evidence-backed health guidance for user's questions.

RAG - Combining FAISS retrieval, multimodal embeddings to answer user's Longevity / everyday health questions. Hackathon winner

Longevity FAISS LLMs HealthTech AI
Hackathon Deck

Achievements

$ cat ./recognition.md

ACM ICPC Finalist

Ranked #30/300+ at ACM ICPC Regionals 2013, showcasing competitive algorithmic depth and real-time problem solving.

Top 0.2% National Rank

Earned All India Rank 4,120 among 2M+ candidates in IIT-JEE/AIEEE, demonstrating aptitude.

Technical Skills

$ grep -r "skills" --include="*.json" .

Languages

Python · TypeScript/JavaScript · Node.js

SQL · Bash scripting

Full Stack

FastAPI · Flask · Firebase

Express.js · REST APIs

React.js · Next.js · Tailwind CSS

AI / ML concepts

Prompt Engineering · NLP · Semantic Search · Observability

ML System Design · RAG · Mult-agent Systems

LLM Fine-tuning

AI / ML Frameworks

LangChain · LangGraph · Vercel SDK

Vector DBs · OpenAI APIs & SDKs

Web Technologies

Selenium · NLP · Chrome Extensions · OAuth2

RESTful APIs

Cloud & DevOps

AWS · Azure · Kubernetes

CI/CD Automation

Terraform · Git

Database & Pipeline

PostgreSQL · MongoDB · Drizzle · Prisma

Apache Airflow · Kafka

Soft Skills

Writing · Structured Thinking · Curiosity

Problem-Solving

Stakeholder Commn.

Contact Me

$ echo "hello, let's build ai" | mail -s "Opportunity" sreenivasan.nitt@gmail.com

I'm currently open to new opportunities in the Bay Area, California. Feel free to reach out if you are hiring for AI Engineer roles for AI startup or mid-stage companies.

sreenivasan.nitt@gmail.com +1 (404) 663-9270 github.com/sreenivasanac linkedin.com/in/sreenivasan-ac @sreenivasan_ac

Quick Contact Options

Send Email (Opens Email Client) Book a 15-min Call Message on LinkedIn

Terminal Style:

echo "Let's build the next AI system" | mail sreenivasan.nitt@gmail.com

📧 Replies within 24 hours

🤖 Happy to discuss multi-agent systems, RAG pipelines, and enterprise deployments