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