• Managed the strategic and targeted minimization of technical debt using two key products, Tech-Debt and Certengine, by implementing a sophisticated tech stack using Golang, ELK (Elasticsearch, Logstash, and Kibana), Kafka, BigQuery, jQuery, GraphQL for optimal performance enhancement.• Contributed to Tech-Debt, targeting Java-based applications within Walmart's repositories. Automated email notifications and deployment blocks for outdated or vulnerable libraries, enhancing system reliability.• Contributed to CertEngine, a comprehensive tool scanning both server and client-side certificates for Walmart. Implemented a proactive certificate management system, automating timely renewal notifications.• Engineered high-performance APIs using the Go Gin framework and GraphQL, significantly boosting system responsiveness and reliability in response to outdated libraries and technology challenges.• Integrated diverse modules into the development pipeline expanding overall scope and enhancing functionality to meet evolving business needs, aligning the product strategically with leadership requirements.• Achieved heightened visibility and interest from organizational leaders for both products, highlighting their strategic importance in addressing technical challenges and improving security measures.

• Developed a high-performing POST API to generate Audit Trip History and a GET API to fetch Trip History, utilizing Java, REST, and API development.• Achieved exceptional code coverage by creating comprehensive JUnit test cases(80%+ line coverage, 100% method coverage and 100% class coverage).• Enhanced system efficiency by implementing concurrency through the utilization of cosmos ETag functionality.• Delivered substantial value by writing over 3600 lines of code.

• Conducted extensive profiling of Channel Performance to identify bottlenecks, skewness and other factors that increased run time.• Experimented with different caching methods and was able to reduce runtime for individual modules by 59.62% and for end-to-end pipeline by 51.53%.• Performed Exploratory Data Analysis to verify presence of data skewness and to identify which column based repartitioning will give better results. • Experimented with different partition sizes and was able to reduce runtime by 43.48% by repartitioning the dataset.

• Reviewed Coding Ninjas new Competitive Programming course.• Resolved 698 doubts of 320 students and received average rating of 4.78.

• Key responsibilities included taking doubt sessions, debugging codes and helping students in their assignments over a period of 4 months.• Resolved 560 students and received average rating of 4.82.• Received an offer of a 4-month extension and another offer to review a course content after performance review.

• Led the coordination between the UI/UX team and the client to design and build the front-end of the app.• Authored code to authenticate users via email using Firebase Authentication, managed all exceptions and implemented a password reset feature.• Programmed storage and retrieval of data in User, Property, FAQ and Terms & Condition databases using Cloud Firestore.• Developed file upload feature using Firebase Storage to collect and store display picture and other documents.