Available for new opportunities

Punit
Gautam

Staff Engineer · Python Backend · AI Systems

7+ years shipping high-scale distributed systems and production AI at Walmart, Mirafra, and Data Works. I architect the backend layer that makes AI products actually work in production.

Bangalore, India — open to remote

[email protected]

+91 8880 144 666

Get In Touch Partner With Me ↓ resume.pdf

99.99% uptime

20K+ req/min

7+ years

// Open to founder partnerships · worldwide

Got a bold AI idea?
Let's build it together.

I'm looking for founders building the next wave of AI-native products. You bring the vision and market insight — I bring the deep technical execution to ship a scalable production system from zero.

AI Product Development

LLM pipelines, RAG systems, AI agents (including WhatsApp-native), scoring engines — production-ready on FastAPI & AWS/GCP.

Scalable Backend Architecture

APIs and microservices built for 20K+ req/min. Distributed systems that grow with your product.

0-to-1 Execution

Move fast from idea to working MVP. I've shipped production systems solo and led high-output eng teams.

Remote & Global

Async-first, built for distributed teams. Open to equity, contract, advisory, or co-founder terms.

Domains I'm excited to build in

HealthTech & MedAI FinTech & InsurTech EdTech & Learning AI E-commerce Automation HR & Talent AI Data & Analytics Platforms Any AI-first SaaS

Let's Talk — I'm Ready to Build Connect on LinkedIn →

Core Expertise

Technical Skills

Languages

Languages & Query

PythonSQL

Backend

Frameworks & APIs

FastAPIFlaskDjangoGraphQLRESTJWT/OAuth2

Cloud & DevOps

Cloud Platforms

EC2S3LambdaRDSRedshiftAWS GlueECSGCPDocker

AI / ML

AI & Data Engineering

LangChain AgentsRAG PipelinesVector DBsHugging FaceCrewAIGeminiT5 LLMsPySparkNLPWhatsApp API

Databases

Database Systems

PostgreSQLMongoDBParquet/S3

CI/CD

Dev & Deployment

GitHub ActionsJenkinsDockerGitMicroservices

What I Build

AI Products Around Agents & RAG

Beyond infrastructure — I architect and ship AI-native products that people actually use. I'm most energised building around Agentic workflows, RAG pipelines, and ideas that could be the next platform-shift. Here's one I'm building.

Featured Concept · Building

WhatsApp AI Mentor / Life Friend

An agent that lives in your WhatsApp and truly knows you — not just chats with you.

Daily Check-ins

2–3 Thoughtful Questions

Every day, the agent pings you on WhatsApp with personalised questions — about your mood, goals, relationships, decisions. Like a journaling habit, but conversational.

Memory Engine (RAG)

It Actually Remembers You

Every response you give is stored and vectorised. When you bring something up weeks later, the agent recalls it and connects the dots — just like a real friend would.

Weekly / Monthly Mentor

Patterns, Growth, Nudges

Weekly recaps surface patterns you didn't notice. Monthly "mentor sessions" review your growth, flag recurring struggles, and suggest small actions to try next.

// Example Conversation

Hey, I'm worried about Rohit, he drives really fast and I think something bad will happen. 😟

That sounds really stressful — caring about someone's safety is hard. I've saved this. Next time you talk to Rohit, want me to help you think through how to bring it up with him?

— 3 weeks later —

Going out with Rohit tonight!

Have a great time! 🙌 Quick reminder though — last time you mentioned Rohit drives really fast and it worried you. Maybe remind him to take it easy tonight? Your concern for him matters.

Built with: WhatsApp Business API LangChain Agents RAG + Vector DB FastAPI OpenAI / Gemini Persistent Memory Scheduled Triggers

Agent Platform

Domain-Specific AI Agents

Vertical agents built for specific workflows — sales follow-up agents, hiring screeners, patient intake bots — each with domain-tuned RAG and persistent user context.

RAG Infrastructure

Semantic Knowledge Systems

RAG pipelines on top of company knowledge bases, support docs, or personal data — turning static information into a queryable, reasoning layer your product can act on.

Career Journey

Work Experience

Feb 2024 — Present

Staff Software Engineer

Data Works Technologies

Architected production-grade backend systems with FastAPI & Flask, integrating Hugging Face Transformers into scalable microservices deployed on AWS & GCP.
Achieved 99.99% uptime under heavy workloads across EC2, S3, Lambda, and ECS with auto-scaling strategies.
Built an AI candidate scoring engine using semantic similarity and weighted NLP algorithms, improving match accuracy by 40%.
Integrated CrewAI, Gemini, and T5-based LLMs for document understanding, resume parsing, and intelligent data extraction workflows.
Developed ETL pipelines for millions of records using PySpark and AWS S3 Parquet, powering downstream Power BI dashboards.

Sep 2021 — Feb 2024

Senior Software Engineer

Mirafra Technologies

Built high-performance systems with FastAPI, Django, GraphQL for mission-critical products — TCRB, AARI, CureSoftware.
Architected APIs handling 2K+ requests/second with fault tolerance and horizontal scalability across microservices.
Designed real-time monitoring dashboards that reduced production debugging time by 45%.
Implemented end-to-end CI/CD pipelines via GitHub Actions and Docker, standardising deployment across dev, QA, and production.
Mentored junior developers in Python backend patterns, ORM optimisation, and containerised deployment best practices.

Jun 2019 — Jul 2020

Software Engineer

Walmart Labs

Engineered Flask-based microservices for supply chain workflows, improving backend processing efficiency by 25%.
Delivered 99.99% uptime handling 20K+ concurrent requests per minute across distributed clusters.
Reduced REST API response latency by 30% across internal and external integrations.
Implemented CD pipelines with Jenkins & Docker, compressing deployment time from hours to minutes.

Jun 2017 — Jun 2019

Software Engineer

IamHere Software Labs

Developed end-to-end backend systems with Flask and Django for data-driven web applications and internal tools.
Engineered an SMTP-based automated email delivery system — cut manual intervention by 70%.
Built custom reporting dashboards in Python + PostgreSQL enabling stakeholder data insights.

Key Achievements

Impact Highlights

AI Candidate Scoring Engine

Semantic similarity + weighted NLP algorithms to match candidates against job requirements at scale.

↑ 40% Match Accuracy

Real-Time Monitoring Dashboard

Django + PostgreSQL observability platform dramatically cutting production debugging cycles.

↓ 45% Debug Time

High-Throughput API Systems

Distributed API infrastructure handling 20K+ concurrent req/min with guaranteed 99.99% uptime at Walmart.

20K+ req/min

CI/CD Pipeline Automation

Jenkins & Docker pipelines that compressed multi-hour deployment cycles into fast, automated releases.

Hours → Minutes

LLM Document Intelligence

CrewAI, Gemini, T5-based LLMs for intelligent document understanding and resume parsing at enterprise scale.

Millions of Records

Email Delivery Automation

SMTP-based automated delivery system eliminating manual communication workflows at IamHere Labs.

↓ 70% Manual Work

Education

Academic Background

Master of Computer Applications

Bangalore University · 2013–2016

English · Hindi · Marathi · Kannada

Get In Touch

Let's build
something great.

Open to full-time roles, contract work, and founder partnerships in backend engineering and AI systems. If what you're building is ambitious, I want to hear about it.

Send a Message →

[email protected]

Email — preferred contact

+91 8880 144 666

Phone · Bangalore, India

linkedin.com/in/punitstaffengineer

LinkedIn Profile

Bangalore, India

Open to remote & hybrid roles