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Srimani Kumar Gamidi

Full Stack Developer - Python, AWS • United States • m*********@gmail.com • +15******773 • linkedin.com/••••• • gamidi-srimani-kumar.netlify.app/•••••

Professional Summary

Python Full Stack Developer with 3 years of experience specializing in scalable web applications, real-time APIs, and cloud-based architectures using Django, React, and AWS, achieving up to 40% performance improvement, delivering high-impact solutions that enhance user engagement, system scalability, and reliable end-to-end product performance.

Technical Skills

Programming Languages: Python,JavaScript,TypeScript
Frontend Technologies: React,Next.js,Redux
Backend Frameworks & APIs: Django,Flask,FastAPI,RESTful APIs,WebSocket APIs
Databases & ORM: SQL,PostgreSQL,SQLAlchemy
Cloud Platforms & Services: AWS,EC2,S3,Lambda
DevOps & CI/CD: Docker,GitHub Actions
Testing & Authentication: Pytest,Jest,JWT

Work Experience

Zumper
Python Full Stack Developer
Apr 2024 – Present
Tech Stack: Python, Django, React, PostgreSQL, RESTful APIs, WebSocket APIs, AWS, Docker, CI/CD Pipelines
  • Engineered scalable rental listing and search systems, accelerating property discovery by 35% and boosting user engagement by 25%.
  • Architected RESTful and WebSocket APIs for real-time listings, messaging, and notifications, sustaining 100K+ monthly active users with high-performance delivery.
  • Refactored database architecture and optimized indexing strategies in PostgreSQL, eliminating query bottlenecks and cutting API response time by 40% under high-traffic conditions.
  • Orchestrated cross-functional delivery with a team of 8 engineers, designers, and product managers, driving a 20% reduction in release cycles.
  • Deployed end-to-end full-stack solutions using Django, React, and AWS with Docker and CI/CD pipelines, increasing deployment efficiency by 30%.
Hudl
Python Full Stack Developer
Jun 2022 – Jun 2023
Tech Stack: Python, Django, React, AWS, RESTful APIs, Video Streaming, Asynchronous Processing
  • Engineered high-performance video analytics and playback features, enhancing athlete performance insights and increasing user engagement by 30%.
  • Architected scalable backend services and APIs to process and stream sports video data, supporting millions of video uploads and real-time access across global users.
  • Optimized video processing pipelines by introducing asynchronous workflows and efficient data handling, reducing processing time by 45% under heavy workloads.
  • Coordinated with a cross-functional team of engineers, data analysts, and product managers to deliver analytics dashboards, accelerating feature delivery by 25%.
  • Implemented full-stack solutions using Django, React, and AWS for video storage, processing, and delivery, improving system scalability and deployment efficiency by 35%.

Education

California State University
Master of Science in Computer Science • Hayward, CA • Aug 2023 – May 2025

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