Project 1: Digital Footprint Platform

• Led development of a cloud-native Digital Footprint Platform used by 1,000+ engineers, processing 40K–60K daily CI pipeline events with 99.9% uptime.

• Designed 20+ RESTful APIs integrating 10+ internal systems, reducing API latency by 30% through PostgreSQL and Oracle query optimization.

• Architected Kafka-driven microservices and Node.js BFF services, increasing throughput by 35% and reducing integration defects by 20%.

• Built role-based dashboards using React, Angular, and TypeScript, improving frontend efficiency by 45% and reducing analysis time by 25%.

• Integrated LLM-powered anomaly detection reducing log analysis by 30-35%; automated Timesheet Validation cutting approval mismatches by 70%.

• Containerized with Docker, automated CI/CD via GitHub Actions and Jenkins reducing deployments by 3x and incidents by 40%.

Project 2: AI Prediction Tools

• Sole developer of an internal full-stack company research and AI prediction platform, reducing manual research time by 70% through automated multi-source data enrichment.

• Designed a scalable MongoDB + Prisma architecture across 6 collections with a caching layer, reducing third-party API credit consumption by 40% and preventing redundant enrichment calls at scale.

• Architected a unified parallel processing pipeline supporting multiple data sources and enrichment workflows, improving data processing throughput by 3x over prior manual processes.

• Implemented secure authentication using NextAuth with JWT encryption and role-based access control (RBAC), enabling organization-wide secure access.

• Established CI/CD using GitHub and Vercel for automated zero-downtime deployments on every commit to master, reducing release cycles from hours to minutes.

• Managed end-to-end production infrastructure including environment configuration, domain setup, secure MongoDB–Vercel integration, and IP whitelisting.

• Assisted 90+ undergraduate students in Java and Python programming, strengthening backend fundamentals and API development skills.

• Guided hands-on projects involving REST APIs and database integration, improving practical software development understanding.

• Demonstrated backend application development using Spring Boot and Docker, introducing students to real-world workflows.

• Mentored students through debugging and troubleshooting sessions, resolving 50+ technical issues across coursework and projects.

• Collaborated with faculty to enhance coding exercises and improve technical learning outcomes

• Developed a full-stack Healthcare Management System using React and Spring Boot, supporting 10,000+ daily transactions across patient, billing, and scheduling modules.

• Designed and optimized RESTful APIs, reducing latency by ~40% and improving data retrieval efficiency by ~35% through database tuning (MySQL, MongoDB).

• Deployed and maintained applications on AWS (EC2, RDS, Auto Scaling), achieving ~99.9% uptime and supporting up to 5,000 concurrent users.

• Built CI/CD pipelines using Jenkins, reducing deployment time by ~60% and automating ~80% of release workflows.

• Improved overall system performance by ~45% through server optimization, monitoring integration, and performance tuning.