Headline

Software Engineer | AI Enthusiast

About

Software Engineer building real-time AI systems and scalable distributed platforms. At Adidas, I’ve owned production microservices end-to-end, driving 40% latency reduction, 90%+ failure reduction, and €2.5M+ in impact. Currently part of a select AI engineering initiative, working on voice-enabled AI for the Adidas Running App — designing low-latency STT → LLM → TTS pipelines, agentic workflows, and context-aware conversational systems. Built an AI code migration system that achieved ~90% automation and won 3rd place at the Adidas AI Enablement Hackathon. Interested in: • LLM orchestration & agentic systems • Voice AI & real-time inference • Distributed systems at scale I like building systems where AI meets production reality.

Location

Delhi

AI stack

antigravity

opencode

Work experience

Junior Software Developer at adidas, Jun 2023 - Present · 3 yrs 3 mos, Gurugram, Haryana, India, • Short-Term Assignment (STA) — AI Engineering (Innovation Labs) Selected from a competitive internal pool for Adidas’ 10x AI Engineering initiative. Engineering real-time voice AI systems for the Adidas Running App using ElevenLabs, LLM orchestration, and streaming speech pipelines. Designed speech-to-speech conversational workflows integrating STT, LLM reasoning, and TTS with contextual session memory. Built agent-driven systems with tool orchestration for dynamic, personalized user experiences. Optimized low-latency inference pipelines (STT → LLM → TTS) with streaming responses and efficient context handling. • Real-Time Logistics & Pricing Microservice (Buy With Prime) Owned end-to-end design and development of a high-availability logistics microservice using Java 21 and Spring Boot. Designed scalable REST APIs, reducing third-party onboarding time from 6 months to under 2 months. Implemented multi-layer Redis caching, improving API latency by 40% and reducing infrastructure costs. Optimized workflows and fallback logic, reducing failure rates by over 90% (6% → 0.5%) and improving delivery accuracy. • Quality Engineering, Integration & Production Ownership Delivered zero critical-defect go-live with 99.99% uptime through TDD and robust testing. Increased test coverage from 45% to 83% in one day and built mock servers to enable parallel development. Led cross-team integrations, enabling multi-market E2E readiness within a single sprint. • Process Automation & Technical Leadership Led deployment automation for Nshift rollout, reducing validation cycles by 70% (7 days → 2 days). Delivered automation contributing to €2.5M annual savings and scaled adoption through technical documentation.

Education

Master of Technology - MTech, Artificial Intelligence and Machine Learning, Birla Institute of Technology and Science, Pilani

Bachelor of Technology - BTech, Computer Science, GL bajaj institute of technology and management