---
title: "Anshika Bangar - Junior Software Developer in Delhi | Tal"
description: "Meet Anshika Bangar, Software Engineer | AI Enthusiast based in Delhi. AI stack includes antigravity and opencode."
image: "https://tal.club/meet/anshika-bangar/share-image"
---

# Anshika Bangar on Tal

## 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

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

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