Jul 2024 – Jun 2025 · 11 mos · Tempe, Arizona, United States · Hybrid

• Designed and developed CAssess, a scalable full-stack project management platform serving 10,000+ academic users, enabling real-time tracking and management of software projects across multiple dimensions.
• Architected and implemented core functionalities integrating Agile Scrum Board (Taiga), GitHub (code activity), and Slack (team communication) into a unified interface, enhancing project oversight and collaboration.
• Built a secure authentication system utilizing JSON Web Tokens (JWT) and Role-Based Access Control (RBAC), providing personalized user access for professors, TAs, and students.
• Developed and optimized RESTful APIs using Java and Spring Framework to facilitate robust communication between the frontend and backend systems.
• Implemented a scalable backend infrastructure using MySQL and Hibernate ORM to handle project and user data management efficiently.

Jun 2023 – Aug 2023 · 2 mos · New York City Metropolitan Area · Hybrid

• (Payments team)
• Conceived and implemented a system to block payments to test publishers, ensuring data integrity and payment accuracy
• Created and managed a PostgreSQL table to store test publisher data, ensuring efficient tracking and blocking of inadvertent payments
• Developed robust CRUD APIs in Java Spring Boot utilizing MVC architecture, facilitating seamless addition and manipulation of test publisher records
• Designed a job on Google Cloud Run to systematically fetch test publisher data, and generate negative adjustments, offsetting any balance associated with each test publisher
• Enhanced the system to automatically place a hold on various payment methods (Check, PayPal, Wire, etc.) associated with the test publishers, bolstering the payment protection mechanism
• Composed and executed comprehensive unit and integration test cases using JUnit 5 and Mockito, ensuring the system's robustness and reliability

Aug 2020 – Mar 2022 · 1 yr 7 mos · On-site

• (Search and Recommendations team)
• Awarded 2x within 1.5 years of service, received Rising star in 2020 and Rockstar in 2021 for outstanding performance
• Spearheaded the redesign and development of the Autosuggest feature using Node.js, Python, Apache Spark, and Elasticsearch Completion Suggester which accounted for 50% of the total searches and boosted the CTR from 1.45 to 2.1
• Collaborated with team & remodeled the classification flow using Node.js to categorize search queries into specific product categories or brands, thereby reducing the percentage of unclassified queries from 50% to 35%
• Mentored and coached interns in developing a microservice with Python to generate daily reports essential for monitoring and improving business metrics. Created Cronjobs on the Kubernetes cluster
• Designed and programmed service using Spring Boot, Cassandra, Elasticsearch, and Redis to power the feed of social commerce
• Acquired proficiency in Cassandra data modeling to design a schema for storing and retrieving data for the Feed service
• Developed and automated 3 Apache Spark pipelines using Spark Structured Streaming for ingestion and manipulation of user and product data (in the millions)
• Revamped the legacy Spark applications in production, resulting in 20-30% reduced memory consumption on AWS EMR, thereby saving infrastructure costs

Jul 2019 – Jul 2020 · 1 yr · On-site

• (Bus Inventory Management System team)
• Revamped the inventory-building service for 4 state bus providers using the eventual consistency model, ensuring data accuracy at 95%. Implemented with MongoDB, Aerospike, Elasticsearch and GoLang for concurrency through Goroutines.
• Conducted research and developed an event-driven architecture microservice with Golang, Cassandra, and Kafka to incorporate a free cancellation feature in the bus ticket booking process. Resulted in a 10% increase in ticket bookings
• Devised an event-based system for the bus ticket booking flow using Cassandra and Kafka, reducing booking failures from 10% to 3%. Created a docker image and deployed the service on Kubernetes