---
title: "Dinesh Chahar - Software Engineer in Greater Bengaluru Area | Tal"
description: "Meet Dinesh Chahar, Backend Engineer | Java · Spring Boot · Python | Distributed Systems · Kafka · Redis · RabbitMQ | Ex-Flixstock · IIT Delhi based in Greater Bengaluru Area. AI stack includes claude code, cursor, and github copilot. Explore public work links including github."
image: "https://tal.club/meet/dinesh-chahar/share-image"
---

# Dinesh Chahar on Tal

## Headline

Backend Engineer \| Java · Spring Boot · Python \| Distributed Systems · Kafka · Redis · RabbitMQ \| Ex\-Flixstock · IIT Delhi

## About

Backend engineer \(\~2 years\) focused on high\-throughput, fault\-tolerant distributed systems — primarily in Java and Spring Boot, with Python across data and service work\. Most recently at Flixstock, I architected a Ray\-based distributed task execution service that improved batch throughput by 35% with idempotent, exactly\-once processing, and optimized scheduling with RabbitMQ priority queues to cut p99 task latency by 28%\. I also built the backend for an AI media workflow platform processing 10K\+ SKU media assets daily, with a versioned, auditable pipeline and S3 \+ CloudFront \+ HLS delivery\. I go deep on systems internals\. I built a Redis\-like distributed cache in Java — lock\-striped keyspace, custom binary protocol over NIO, 200\-vnode consistent hashing — that holds 0\.8ms p99 under 10K concurrent operations \(JMH\-measured\)\. I also built a real\-time inventory reservation system using atomic Redis Lua scripts, Kafka with idempotent consumers, and Postgres\. The hard parts are what I enjoy: idempotency, exactly\-once processing, consistent hashing, and resource\-aware scheduling\. IIT Delhi graduate\. Open to Backend SDE roles \(Java / Python\)\. Reach me at dineshchahar4666@gmail\.com\. Skills: Java · Spring Boot · Python · Kafka · RabbitMQ · Redis · PostgreSQL · Distributed Systems · AWS · Docker

## Location

Greater Bengaluru Area

## AI stack

claude code

cursor

github copilot

langchain

langfuse

langgraph

## Work experience

Software Engineer at Stealth Startup, Mar 2026 \- Present · 7 mos, Gurugram, Haryana, India

Back End Developer at FlixStock, Jun 2025 \- Feb 2026 · 9 mos, Gurugram, Haryana, India, Backend engineer on distributed ML media systems — distributed task execution and AI media workflow orchestration\. \- Architected a Ray\-based distributed task execution service that parallelizes ML workloads across cluster nodes, improving batch throughput by 35% with idempotent, exactly\-once processing\. \- Optimized scheduling using RabbitMQ priority queues, reducing p99 task latency by 28% for critical workloads\. \- Engineered fault\-tolerant execution with worker heartbeats and dead\-letter queues \(DLQs\) for reliable job retries and recovery\. \- Built the backend for an AI media workflow platform orchestrating AI\-generated video QC and editing, processing 10K\+ SKU media assets daily\. \- Designed a versioned media pipeline tracking prompts, edits, and reviewer actions for full auditability across collaborative QC cycles\. \- Implemented scalable asset delivery with AWS S3, CloudFront CDN, and HLS streaming for low\-latency video previews\. \- Secured the backend with RBAC authorization, JWT authentication, and presigned S3 uploads for concurrent editor workflows\.

Software Developer at Burger Singh, Jul 2024 \- Apr 2025 · 10 mos, Gurugram, Haryana, India, Built a geospatial intelligence platform for store expansion and location analytics\. \- Built a geospatial intelligence platform for store expansion, reducing location\-analysis latency by 22% using proximity caching\. \- Implemented Redis GEO indexing and GeoHash\-based deduplication, cutting redundant Google API requests and external costs\. \- Developed an asynchronous job pipeline with RabbitMQ workers to process external API calls without blocking request threads\. \- Designed a scalable Spring Boot backend with PostGIS spatial queries and domain\-restricted OAuth for secure internal analytics\.

Software Engineer Intern at ProtoTech Solutions, May 2022 \- Jul 2022 · 3 mos, Remote, \- Automated 3D drafting plugins using C\# and \.NET, reducing manual design cycles by 40% for civil engineering clients\. \- Improved accuracy by 10% by implementing geometric algorithms within the Advance Steel API layer\. \- Conducted unit and integration testing to ensure stability across design modules\.

## Education

Bachelor's of technology, Mechanical Engineering, Indian Institute of Technology, Delhi

Class XII, RBSE, Board of Secondary Education, Rajasthan \(RBSE\)

## Public links

- github: https://github\.com/chahario

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

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