AI Engineer · LLMs · RAG · Voice AI | React Native (iOS & Android) | STT/TTS Pipelines · pgvector · GPU Infra | VectorDB | vLLM

India

Chennai

Chennai

Chennai

Chennai







Master of Technology - MTech, Computer Engineering
Indian Institute of Information Technology Design & Manufacturing Kancheepuram
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AI Engineer building production LLM applications — RAG pipelines, Voice AI, and real-time STT/TTS systems — with 3+ years of mobile engineering depth in React Native (iOS & Android). At IntuitionX, I'm the sole engineer owning an AI-powered voice application end-to-end: fine-tuned Whisper for domain-specific STT, built a custom pgvector RAG engine (sub-0.6ms p95), integrated OpenAI LLMs with Deepgram TTS, and deployed inference workloads on GPU-backed AWS EC2. React Native Engineer specializing in cross-platform mobile development for iOS and Android. mobile performance optimization, native module development, release engineering, and CI/CD pipelines. Key achievements: → Crash-free sessions improved to 99.8%, OOM crashes reduced ~30% → JS-thread latency cut ~35% via render optimization, memoization, FlatList virtualization → Shared RN infra modules across 5+ apps — eliminated ~60% of duplicated code → Halved release cycle time with Fastlane + staged Play Store rollouts + CodePush OTA Core stack: React Native · TypeScript · Kotlin · Swift · Fastlane · GitHub Actions · Node.js · PostgreSQL · Firebase · Hermes · Crashlytics Open source: → react-native-securekv — encrypted KV storage using Android Keystore & iOS Keychain → VectorDB — self-hosted vector search, sub-0.6ms p95 latency (pgvector) Open to: React Native Engineer · Mobile SDE II · Senior Mobile Engineer · Full-Stack Mobile Locations: Chennai · Bangalore · Remote 📩 stellarworks03@gmail.com 🌐 lakshu-web.vercel.app LeetCode: 703 problems solved — 302 Medium · 43 Hard (Top 3% globally) → leetcode.com/u/Lakshu1797
Chennai
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Software Development Engineer II — AI Engineer | LLMs · RAG · Voice AI · iOS · Android at IntuitionX, Mar 2026 - Present · 9 mos, India, 1.Fine-tuned OpenAI Whisper for domain-specific speech-to-text transcription, improving recognition accuracy for product-specific vocabulary and accents. 2.Built a full RAG pipeline using pgvector and a custom vector search engine, enabling context-aware LLM responses with sub-millisecond retrieval latency. 3.Engineered a real-time voice bot pipeline integrating Whisper (STT), OpenAI LLM APIs, and Deepgram (TTS), delivering low-latency conversational AI within a React Native mobile app. 4. Deployed and manage AI inference workloads on GPU-backed AWS EC2 instances, owning infrastructure provisioning, scaling, and cost management independently. 5.Own full CI/CD lifecycle via Fastlane + GitHub Actions, including Play Store and TestFlight deployments, environment configuration, and rollback handling. 6.Write Kotlin and Swift native modules to expose platform-specific device APIs unavailable in the React Native JS layer.
Software Development Engineer II — React Native (iOS & Android) at Concentrix, Oct 2024 - Jan 2026 · 1 yr 4 mos, Chennai, 1.Architected shared React Native infrastructure modules (networking, auth, theming) adopted across 5+ apps, eliminating ~60% of duplicated code and reducing cross-team integration time. 2.Reduced JavaScript-thread latency by ~35% through render optimization, memoization, and FlatList virtualization, profiled using Flipper and the Hermes engine. 3.Eliminated persistent memory leaks via Android Studio Profiler and Xcode Instruments, reducing OOM crashes by ~30% and bringing crash-free sessions to 99.8% (measured via Crashlytics). 4.Halved release cycle time by building Fastlane CI/CD pipelines with staged Play Store rollouts, CodePush OTA updates, and hotfix workflows, including crash triage and revert automation. 5.Wrote Kotlin and Swift native modules for platform-specific features requiring direct access to device APIs beyond JavaScript's reach.
Software Development Engineer - 1 at eShakti.com, Jun 2023 - Oct 2024 · 1 yr 5 mos, Chennai, 1.Shipped production features for a React Native e-commerce app scaled to 100K+ installs across iOS and Android in the US market. 2.Implemented CodePush OTA update pipelines enabling hotfixes and feature rollouts without App Store review cycles, reducing mean time to patch by multiple days. 3.Improved app startup time, navigation performance, and image rendering efficiency, measurably improving perceived performance on mid-range Android devices. 4.Built and owned Fastlane CI/CD pipelines managing automated builds, signing, and releases to Google Play and TestFlight. 5.Ran A/B tests and staged beta releases in partnership with product and design teams to de-risk feature launches before full rollout.
Mobile Application Developer (ReactNative/iOS/Android) at Foodhub, Jul 2022 - Mar 2023 · 9 mos, Chennai, 1.Reduced cold-start time by ~30% on a React Native app with 50K+ users via JavaScript bundle optimization, lazy loading, and efficient image handling. 2.Built media upload and background sync pipelines for low-bandwidth and low-end devices using AWS S3 and Firebase Cloud Functions. 3.Automated Play Store and TestFlight release workflows using Fastlane; deployed OTA updates via CodePush to minimize downtime between full releases.
Mobile Application Developer(Android &iOS) - Internship at Colan Infotech Private Limited, Sep 2020 - Jun 2022 · 1 yr 10 mos, Chennai, Developed Android e-commerce features using Kotlin, Retrofit, Firebase, and Jetpack components across a 20-month internship, contributing to 3+ production app releases.
Master of Technology - MTech, Computer Engineering, Indian Institute of Information Technology Design & Manufacturing Kancheepuram
github: https://github.com/lachu97
lakshu-web.vercel.app: https://lakshu-web.vercel.app/