Headline

SDE 1 @ Volkswagen Group (Embitel) | Backend & Distributed Systems Engineer | Java • Go • Python • Spring Boot • Kafka • Redis • System Design | Building Scalable Platforms

About

I'm a backend-leaning Software Engineer who builds distributed systems that hold up under real production load — not just in a design doc. Over 3 years at Embitel (Volkswagen Group / CARIAD), I've worked across the stack — Java, Spring Boot, and Python/FastAPI on the backend, React.js and Next.js on the frontend — designing microservices, event-driven pipelines with Kafka, and high-throughput APIs for connected vehicle and geospatial systems. I care about system design, scalability, and shipping things that don't fall over at 2am. A few things I'm proud of: I cut load time by 40% through backend and query optimization, led a team of 3 engineers through a full project cycle, and shipped a production application now used by 50,000+ users. Along the way I've worked deep in caching strategies, search systems, and reliability engineering — the unglamorous work that keeps platforms fast and stable. I'm currently open to SDE 2 / Software Engineer II roles (backend or full-stack) at startups, FAANG, and product companies — Bangalore, Gurgaon, or remote. If you're building something technically interesting and hiring engineers who like solving hard distributed-systems problems, I'd love to connect.

Location

Bengaluru

AI stack

antigravity

claude code

deepseek

gemini

github copilot

langchain

Work experience

Software Engineer at Embitel Technologies, Sep 2023 - Present · 2 y 11 mo, Bengaluru, Karnataka, India, Built an enterprise IT ticket management platform from scratch, eliminating $15K/year in recurring licensing costs; engineered a scalable system capable of processing 10,000+ tickets/day with automatic SLA-based escalation for high-priority tickets, and a fault-tolerant Kafka notification pipeline using retries and DLQ. • Migrated a Spring Boot indexing service from nightly Databricks batch jobs to an event-driven Kafka architecture, processing 25,000+ measurement dataset IDs daily with lifecycle-based indexing; implemented DLQ for fault tolerance, eliminating duplicate processing and reducing dashboard latency from next day to near real time. • Configured email alerts for failure events, notifying designated team members in real-time whenever event failures occurred, enabling faster root-cause identification and reprocessing. • Optimized an API that converts large (4GB+) binary-encoded raw data files into video by replacing full in-memory file loading with Azure Blob chunk-based streaming and parallel batch prefetching (6-worker thread pool), reducing processing time from 15 minutes to 2 minutes and lowering peak memory consumption by 60%. • Improved P95 API latency from 450ms to 180ms by implementing a Redis cache-aside layer (keyed by ticket ID) with LFU eviction and TTL-based expiration, cutting redundant Postgres queries and optimizing SQL, delivering faster responses for frequently accessed ticket • Designed and optimized backend APIs using Spring Boot, Redis, and SQL query tuning, reducing average response latency by 60% and significantly improving application responsiveness for engineering teams. • Modernized enterprise encryption infrastructure by implementing AES-256 and PBKDF2, ensuring compliance with updated cryptographic security standards. • Refactored cryptographic services using the Strategy Design Pattern, improving extensibility, maintainability, and simplifying future algorithm integration. • Architected a geospatial analytics platform using PostGIS, Kafka, and Spring Boot capable of indexing and querying 10M+ GPS records with sub-second search latency for connected vehicle diagnostics. • Designed radius-based geospatial search with CSV/Excel export capabilities, enabling cross-functional engineering teams to perform faster defect analysis. • Built an event-driven Kafka ingestion pipeline that automatically correlated vehicle telemetry with defect reports, eliminating over 200 manual test-drive hours every quarter. • Developed a real-time ADAS monitoring platform using WebSockets, Redis, and Spring Boot, reducing QA debugging effort by 30% through instant telemetry visualization. • Designed and deployed production-grade microservices using Spring Boot, API Gateway, and REST architecture achieving 99.95% service availability across multiple internal platforms. • Developed Python FastAPI automation services integrating Jira APIs to generate sprint analytics and engineering reports, reducing manual reporting effort by 40%. • Built an AI-powered troubleshooting assistant using LangChain, OpenAI Whisper, FAISS, and Retrieval-Augmented Generation (RAG) enabling engineers to retrieve context-aware vehicle diagnostics in under 2 seconds.

Co-Founder at Klarify, Dec 2021 - Jun 2022 · 7 mos, Kurukshetra, Haryana, India, Co-founded an EdTech startup focused on micro-learning through short-form educational videos. Conducted customer discovery, market validation, and product research to identify user engagement opportunities. Designed and developed the Android MVP, collecting real-user feedback through university pilots. Iterated rapidly based on user insights before deciding to sunset the product, gaining hands-on experience in product development, entrepreneurship, and user-centric design.

Android Lead at Google Developer Student Club UIET KUK ( GDSC ), Sep 2021 - Dec 2022 · 1 yr 4 mos, Kurukshetra, Haryana, India, Led Android development initiatives for Google Developer Student Club, mentoring 100+ students on Kotlin, Android architecture, and UI/UX best practices through workshops and technical sessions.

Education

Bachelor of Technology, ECE, UIET - Kurukshetra University

Public links

github: https://github.com/ak1058

leetcode: https://leetcode.com/user3824PF

codeforces: https://codeforces.com/profile/amit.ak.ak933