• Supported and monitored large-scale distributed systems by maintaining CI/CD pipelines and Kubernetes dashboards, improving build visibility and reducing deployment issues by ~30%.

• Served in on-call rotation, diagnosing and resolving production bugs with mean time to resolution (MTTR) under 2 hours, directly supporting high-availability services.

• Contributed to Java version migrations and dependency upgrades, helping improve application stability, security compliance, and long-term maintainability across services.

• Designed and implemented automated testing frameworks, adding 8,000+ unit and integration tests, increasing test coverage to ~80% and reducing regression defects by ~98% using AI-assisted test generation.

Authored clear technical documentation and onboarding guides, improving team productivity and reducing ramp-up time for new engineers.

• Planned and implemented features for internal Walmart tools and AI-powered chatbots using MCP, enabling item lookup, category validation, and ranking insights used by internal teams.

• Collaborated with staff engineers, senior product managers, and QA to deliver reliable features while learning best practices in clean code, code reviews, and scalable system design.

🧳Courses:

• Game Designing

• Operating Systems

• Algorithm Design & Analysis

• Quantum Computing

• Data Privacy

• Computer Systems

• Data Systems

• Applied Probabilities

• Linear Algebra

• Create, program, and test new non-linear utility function algorithms to improve multi-criteria decision-making algorithms on enormous datasets with more than 10,000 tuples.

• Develop algorithms that successfully guess a user's utility function by asking them 10 questions for each attribute.

Lead a team of 3 interns support both back-end & front-end infrastructure of three products

Supervise and provide technical back-end support to two internal websites to ensure 99% system up-time facilitating uninterrupted provision of services

Manage over 500 employee leave requests and job applicant notifications, was achieved through seamless integration with SendGrid and the Slack/Bolt library framework

Test and document a comprehensive Leave Request API using Node.js, MongoDB, and the Mongoose library, catalyzing efficient management of employee leave absences