Shivam Jha

• Architected an asynchronous, lossless media-compression pipeline (S3 → SQS → Lambda) in a dedicated kc-media-processor service with
idempotency markers, DLQ-backed retries, and full metadata/header passthrough, compressing images post-upload with zero added upload-API
latency and a >99% compression-success target on eligible files; later extended the same event-driven pattern to video.

Developed and maintained full-stack web applications using React, Next.js, TypeScript, and Go, implementing SSR and API routes to improve performance by 22%. Built RESTful APIs with Node.js/Express and optimized PostgreSQL interactions for large distributed datasets, integrating third-party services and observability with DataDog.

Implemented React Web-Chat for 10,000+ users, cutting response time by 20%.
Revamped backend with Node.js, Socket.IO, Express, saving $1,800/month, boosting performance by 30%.
Orchestrated Docker, Kubernetes deployment, saving 40%, ensuring 98% uptime, handling 3x peak traffic.
Enhanced security with Bcrypt, JWT, OAuth, reducing unauthorized access by 95%, and upgraded encryption to Libsodium.

- Cut computation time by 96-97% for large datasets (2-5 Petabytes).
- Raised Amazon’s Data Quality Standards, saving $2,500/month.
- Optimized services with team of 7 using React, Java, Typescript, Python.
- Streamlined Data Quality Standards/Statistics calculation with Ray, upgraded data accessibility with Amazon DynamoDB.
- Engineered React-based UI to improve decision-making, user experience.

Grade: 8.1 (CGPA)

Bachelor of Technology in Information Technology with coursework in Data Structures and Algorithms, Web Development, DBMS, OS, Computer Networks, and System Design.