---
title: "Shantanu Badmanji - SDE-1 in Pune Division | Tal"
description: "Meet Shantanu Badmanji, Backend Engineer @ DevDynamics — PostgreSQL & System Design | shantanubadmanji.hashnode.dev based in Pune Division. AI stack includes anthropic apis, claude code, and cursor. Explore public work links including github and leetcode."
image: "https://tal.club/meet/shantanu-badmanji/share-image"
---

# Shantanu Badmanji on Tal

## Headline

Backend Engineer @ DevDynamics — PostgreSQL &amp; System Design \| shantanubadmanji\.hashnode\.dev

## About

I'm a Backend Engineer with 2\+ years of production experience building scalable backend systems, distributed services, and AI\-powered platforms\. I work primarily with Java, Go, Python, and TypeScript, with hands\-on experience across Spring Boot, FastAPI, NestJS, PostgreSQL, Redis, Docker, and AWS\. I've designed microservices and event\-driven architectures, built asynchronous processing systems, and owned production systems from architecture and implementation through deployment, observability, and reliability\. My recent work sits at the intersection of backend engineering and AI\. I've architected multi\-agent systems using LangGraph and FastAPI, built RAG and MCP\-based applications, integrated Amazon Bedrock, and developed AI\-powered developer tooling\. These systems have been adopted by 50\+ engineering managers and used across enterprise workflows\. I enjoy solving problems where correctness, performance, and scale matter\. I've optimized PostgreSQL workloads on 60M\+ row datasets, reducing worst\-case query execution time from 30\+ seconds to under 500ms, and helped reduce AWS infrastructure costs by approximately 64% through targeted architecture and infrastructure optimization\. I'm also passionate about developer infrastructure and engineering productivity\. I've worked on AST\-based code analysis, codebase context engines, CI/CD, production observability, and enterprise integrations\. I enjoy taking ambiguous problems, understanding the underlying system, and turning them into reliable solutions that actually ship\. I'm always interested in connecting with engineers and teams working on challenging problems in backend systems, distributed systems, cloud infrastructure, AI/LLM platforms, and developer tooling\.

## Location

Pune Division

## AI stack

anthropic apis

claude code

cursor

langchain

langgraph

mcp

ollama

## Work experience

SDE\-1 at DevDynamics, Jun 2024 \- Aug 2026 · 2 y 2 mo, Pune District, Diagnosed and resolved critical production issues by fixing a timezone bug affecting date\-based queries, restoring accurate results across customer\-facing dashboards and downstream product surfaces\. Optimized 200\+ generated SQL query variants on a 60M\+ row PostgreSQL table through CTE rewrites and index\-friendly restructuring, reducing worst\-case query execution time from over 30s to under 500ms and average API latency from 7–10s to 1–2s\. Blog↗ Owned Refacto, an AI\-powered PR review platform \(TypeScript NestJS\), end\-to\-end from prototype to production in direct collaboration with the CTO\. Designed the backend architecture separating VCS integrations and webhook handling, queue\-driven review orchestration and LLM\-powered analysis, and ephemeral Lambda\-based PR\-context retrieval, deployed on AWS using ECS, SQS, Lambda, and S3\. Architected an AI copilot, Dyna AI, using LangGraph and FastAPI with SSE streaming and parallelized multi\-metric/multi\-team data fetching, adopted by 50\+ managers across 100\+ chat sessions\. Built an OAuth 2\.1\-secured MCP server exposing the same analytics as tools for third\-party AI clients, adopted by 15\+ managers\. Reduced AWS spend by \~81% \(\~$4,200 → \~$800/month\) by migrating ECS Fargate workloads to self\-hosted ECS on shared EC2 with peak/off\-peak scheduling and SQS\-driven autoscaling, consolidating 10 load balancers into 2, and optimizing RDS/Aurora through cold\-storage migration, replica removal, and instance right\-sizing\. Blog↗ Owned and maintained CI/CD and production reliability across 10 CodePipeline pipelines, 9 ECS services, 3 Elastic Beanstalk environments, and supporting EC2/Lambda compute, managing deployment configurations and observability through Sentry and CloudWatch to detect and resolve production issues\. Integrated Amazon Bedrock for LLM inference with prompt design and token\-limit handling; designed distributed PostgreSQL advisory locks to prevent concurrent Jira OAuth token refreshes; and used ephemeral Lambda\-based repository cloning so client source code was never persisted beyond a single invocation\. Blog↗ Mentored 2 interns through onboarding to independent production ownership, providing technical guidance and authoring onboarding guides and KT sessions to accelerate ramp\-up for future hires\.

Back End Developer at DevDynamics, Jun 2024 \- Jun 2025 · 1 y, Pune, Maharashtra, India, Delivered 7\+ third\-party integrations \(Asana, Azure DevOps, Bitbucket, Google Calendar, Slack, and others\) in Spring Boot using webhook\-driven and event\-driven patterns for near\-real\-time data exchange, directly unblocking enterprise client onboarding and driving retention through high\-demand features like Sprint Reports and Jira Custom Fields Support\. Built a priority\-based background data processing system in Python for on\-premises environments using a dual\-daemon architecture backed by an AWS SQS buffer to improve pipeline reliability and throughput for high\-frequency data loads\. Engineered a multi\-user API token management system with rate\-limit\-aware rotation and secure token storage, eliminating data ingestion failures caused by concurrent integration traffic\. Developed multiple GenAI workflows to generate automated reports \(e\.g\. Sprint Reports, Contributor Reports\) in Spring Boot using AWS Bedrock, structured prompts, retry handling, JSON/HTML\-ready LLM outputs, Apache FreeMarker templates — for performance summaries, used by 80\+ engineering managers\.

## Education

Bachelor of Technology \- BTech, Information Technology, Vishwakarma Institute of information technology

## Public links

- github: https://github\.com/ShantanuBadmanji
- leetcode: https://leetcode\.com/Shantanu\_Badmanji

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

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