Building scalable backend systems, real-time AI infrastructure, and distributed services with Go and Python.

• ⚡ Backend Engineer focused on distributed systems, scalability, and backend architecture
• 📈 Built systems supporting 1,000+ concurrent sessions and 50K+ AI calls/day
• 🏗️ Strong ownership across architecture, backend development, infrastructure, and production systems
• 🤖 Building real-time Voice AI and LLM-powered agent systems
• 🔧 Hands-on with Go, Python, Django, FastAPI, gRPC, Redis, RabbitMQ, Celery, PostgreSQL
• 🧠 Interested in distributed systems, concurrency, fault tolerance, real-time systems, and AI infrastructure

AI & Voice Infrastructure

• Built multi-service AI systems using Go, Python, gRPC, and asynchronous architectures
• Designed Go + Asynq hybrid campaign infrastructure capable of handling 1,000+ concurrent sessions
• Worked across LiveKit, LiveKit Agents, Pipecat, WebRTC, SIP, RTP, Voximplant, telephony and LLM infrastructure
• Designed scheduling, queueing and concurrency control across LLM, real-time media, telephony and infrastructure layers
• Operated fleet-based real-time infrastructure with geo-routing, capacity management and self-healing

High-Scale Backend

• Scaled a Django-based distributed calling pipeline to 50K+ AI calls/day and 300 concurrent calls
• Built asynchronous processing using Django, Celery, RabbitMQ and Redis
• Worked on priority-based queues, background workers, concurrency, caching and database optimization
• Designed backend services around high-volume, latency-sensitive workloads

Backend Platforms

• Architected and delivered end-to-end platforms across HealthTech, FinTech, SaaS and AI
• Owned backend architecture, APIs, integrations, databases, infrastructure and production deployments
• Built systems involving RBAC, third-party integrations, real-time synchronization and distributed processing

Languages:
Go · Python · JavaScript

Backend:
Django · Django REST Framework · FastAPI · Gin · gRPC

Distributed & Async:
Redis · RabbitMQ · Celery · Asynq · WebSockets

Real-Time & Voice:
LiveKit · LiveKit Agents · Pipecat · WebRTC · SIP · RTP · Voximplant

Cloud & Infrastructure:
AWS · GCP · Docker · Kubernetes · MicroK8s

Databases:
PostgreSQL · PostGIS

AI / ML:
LangGraph · RAG · LLMs · YOLO · TensorFlow · Scikit-learn

Raft Distributed Consensus
Go · gRPC · Gin · GORM · Next.js

Implemented leader election, log replication and node failure recovery with a real-time cluster visualization dashboard.

Skippit — Real-Time Hyperlocal Marketplace
Django · Redis · WebSockets · PostGIS · React Native

Built real-time location tracking, geospatial queries, WebSocket communication and Redis-backed infrastructure.

Metro Monitoring System
YOLO · Computer Vision · Machine Learning

Built a computer vision system for metro seat occupancy detection using a 5,000-image annotated dataset, with automated alerts and a provisional patent.

1,000+ concurrent sessions   ·   50K+ AI calls/day   ·   60× concurrency improvement   ·   7 production services

• Distributed systems & consensus
• Concurrency and scheduling
• Fault tolerance & reliability
• High-throughput backend architecture
• Real-time communication & Voice AI
• AI agents & tool orchestration
• RAG & LLM infrastructure
• Systems programming with Go

Build systems. Understand the trade-offs. Make them scale.