OVERVIEW
Principal Software Architect and Founding Engineer specializing in the architecture of high-scale, AI-integrated real-time platforms. Instrumental in spearheading the Vooz ecosystem from initial conception to a global social infrastructure serving over 500k monthly active users. Expert at navigating the intersection of complex frontend orchestration, distributed backend systems, and high-performance AI inference.
SKILLS
FRONTEND
Next.js 16, TypeScript, Redux Toolkit, React Native CLI / Expo (Android/iOS), WebRTC, Framer Motion
AI_INFRA
Triton Inference Server, ONNX Runtime, Dynamic Batching, Model Quantization
DEVOPS
Azure AKS, ArgoCD (GitOps), Azure Front Door, AWS, OpenTelemetry
REAL_TIME
SignalR Hub Sync, Socket.io, P2P Data Channels, MediaStream
BACKEND
Python, FastAPI, Node.js, Express, .NET, Golang
WEB3
Solana (web3.js), SPL Tokens, Helius Webhooks
DATA
Memgraph, PostgreSQL, Redis, Cache API, Persistence Layer
EXPERIENCE
VOOZ INC
Principal Software Architect (Founding Engineer)
- Engineered multi-tenant Next.js environment utilizing Parallel and Intercepting Routes, scaling to 500k+ MAU with optimized SSR delivery.
- Designed and maintained Vooz Video Coordinator for WebRTC handshakes and Media Recovery Logic.
- Spearheaded Triton Inference cluster with Dynamic Batching, achieving 1280+ RPS with full OTel tracing.
- Architected Solana payment infrastructure via Node.js microservice using Helius Webhooks for atomic transactions.
- Designed backend services and event-driven workflows supporting high-volume transactional operations and real-time user experiences.
- Orchestrated multi-cloud deployments secured by ArgoCD and Azure Front Door with cookie-based edge routing.
- Established zero-latency SignalR Hub Sync protocol to recover state from abnormal disconnections (Code 1006).
- Engineered browser-local inference using ONNX Runtime (WebGPU) and Cache API for real-time content filtering.
AIMICA LTD
Software Developer (Lead Role)
- Led a team of 3 developers building AI-powered mobile apps using React Native (Expo).
- Designed and implemented a scalable RAG-based knowledge system integrating open-source LLMs.
INFOEDGE
Mobile Developer
- Optimized critical React Native flows for high-traffic apps, resolving memory leaks on low-end devices.
PROJECTS
Medical Paper NLP Categoriser
Deep learning model using TensorFlow on PubMed datasets. Achieved 90%+ accuracy in classifying medical abstracts.
Secure Video Conferencing Suite
Cross-platform video app featuring end-to-end encryption and real-time signaling via Firestore and WebRTC.
EDUCATION
B.Tech in Computer Science
Dr. A.P.J. Abdul Kalam Technical University