Charan Lokku | Software Engineer

Hi, I'm Charan Lokku.

A

Software Engineer specializing in building scalable distributed systems and high-performance architectures.

About

Software Engineer with expertise in building scalable distributed systems and event-driven architectures. Proven track record of developing high-availability systems handling 50,000+ daily transactions with 99.99% uptime.

Languages: Python, Java, JavaScript, C++, SQL, HTML/CSS
Backend: FastAPI, Django, Spring Boot, Node.js, gRPC, Celery, RabbitMQ
Databases: PostgreSQL, DynamoDB, MongoDB, Redis, PostGIS
Cloud: AWS (Lambda, S3, API Gateway), Docker, Kubernetes
Realtime: WebSockets, MQTT, Kafka, Spark Streaming, Redis Pub/Sub

Passionate about solving complex distributed systems challenges and optimizing high-throughput architectures.

Experience

WinWin Labs

Software Engineer

Architected and implemented event-driven microservices using AWS Lambda, API Gateway, and DynamoDB in a high-availability system handling 50,000+ daily transactions with 99.99% uptime via circuit breaker patterns
Built real-time customer service notification system using Python, MQTT, and WebSockets, improving message throughput by 40% through low-latency protocol optimization
Developed secure and performant RESTful APIs with FastAPI, integrating JWT authentication, Redis-based caching, and database query optimization to reduce response time by 35%
Created full-stack monitoring and alerting platform using React (frontend), Python and Spark Streaming (backend), and WebSocket push notifications, cutting incident response time by 50%
Technologies: Python, FastAPI, AWS (Lambda, API Gateway, DynamoDB), Redis, WebSockets, React

2025 - Present | Riverside, CA

Projects

      
Intelligent Expense Management
        Full-stack platform for expense logging and categorization
      
AccomplishmentsTools: React, TypeScript, Django, PostgreSQL, AWS S3, Celery, Scikit-learn
Built full-stack platform with Django REST API, JWT auth, and React frontend
Implemented Celery and Redis for OCR receipt parsing and ML-based auto-categorization
Used PostgreSQL and S3 for secure storage of expense records

Distributed Video Segment System
        Scalable video processing and streaming platform
      
AccomplishmentsTools: FastAPI, gRPC, RabbitMQ, Redis, MiniO, React, HLS.js, Kubernetes
Built async FastAPI backend with gRPC microservices and WebSocket live encoding updates
Processed uploads via RabbitMQ, stored segments in MiniO, and cached HLS manifests with Redis
Deployed on Kubernetes with Grafana monitoring

Payment Routing Engine
        Transaction-safe payment processing system
      
AccomplishmentsTools: Spring Boot, Java, PostgreSQL, RabbitMQ, React, Docker
Developed Spring Boot backend with transaction-safe routing and retry queues
Built modular payment provider adapters for flexible integration
Created React dashboard for transaction tracing and monitoring

Real-Time Geo Dispatch
        Live driver-rider matching system
      
AccomplishmentsTools: NestJS, Socket.io, Redis, PostgreSQL, PostGIS, React, Mapbox
Built real-time backend with NestJS and Socket.io using Redis pub/sub
Implemented PostGIS for geospatial queries and live matching
Developed React and Mapbox frontend to visualize real-time locations and ETAs