3+ years shipping FastAPI services, AWS infrastructure, and AI/LLM pipelines on Bedrock — for clients from Pune to Germany.
I'm Varun — a Python backend engineer who likes the hard, invisible parts: clean APIs, well-modeled databases, and infrastructure that just runs.
Lately I've focused on bringing LLMs into real products — document-intelligence pipelines and agent systems built on AWS Bedrock, not demos. I've delivered end-to-end for international clients across health-tech, marketing, and BIM/SaaS, owning everything from the schema to the deployment.
Now I'm extending into data engineering — Databricks, PySpark, dbt, and Snowflake — building pipelines that turn raw data into something teams can trust.
From requirements and schema design to AWS deployment and maintenance — solo or in small teams.
Sets up and runs AWS directly: S3, EC2, ECS Fargate, IAM — containerized with Docker.
LangGraph agents, RAG, and document pipelines on Bedrock — production, not prototypes.
Most of this is client work under NDA, so the code stays private — here's what I built, the stack, and my role.
POS + inventory system for a medical/retail client — real-time stock, billing/invoicing, and sales dashboards.
Records, attendance, fees, and academic reporting with REST APIs and role-based access for administrators.
Productivity-analytics tool in Python and SQL. Work contributed to a research paper published by Springer (2024).
Published by Springer, 2024 · Journal of Information and Computational Science
Open to backend, AI/LLM, and data-engineering roles — full-time or contract. Based in Pune, comfortable remote.