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Gupshup Technology
Mumbai, Maharashtra, India
Engineered scalable microservice architecture in Java/Go, driving key architectural decisions that improved reliability, scalability, and enabled handling of 100M+ daily messages with 99.99% uptime. Builtevent-driven messagingsystems(pub/sub, retries, DLQs) andmulti-tenant Kafkaconsumers, boosting delivery success by30%and achieving10KTPSthroughput. Diagnosed and resolved random latencyspikesin the API gateway during peak traffic by identifying long GC pauses and low heap memoryin Java pods, stabilizing performance and eliminating unpredictable slowdowns. Developed Kubernetes-integratedAPIsfor on-demand pod creation by data segments, cutting deployment time from5minto30sec(90%faster). Led production deployment onAWS&KubernetesusingHelm, dynamic logging, and observability tools (Coralogix/Splunk), ensuring fault-tolerant and scalable infrastructure. Designed efficient databaseschemasand managed MySQL, enabling high-throughput data access and optimized storage. Automated CI/CDpipelinesandTDD-basedtesting, accelerating release cycles by400%and ensuring full coverage of critical event flows. Created internal developertooling(Postman collections, documentation) and monitoring frameworks, fast-tracking developer onboarding by 4x
OggnTech
Mumbai, Maharashtra, India
Developed a secure web platform with authentication and encryption for experts to efficiently resolve student queries. Integrated backend APIs to handle real-time query submissions and responses, ensuring fast and reliable communication between experts and students. Built using the MERN stack (MongoDB, Express, React, Node.js), implementing full-stack functionality and responsive UI.
Bachelor of Engineering
CGPA: 9.08/10.00
Python, Selenium, Flask
Developed a personal automation tool to scrape LeetCode problems, select questions, and submit code programmatically, maintaining a 100% daily coding streak even without a laptop. Implemented web automation using Selenium to fill input fields, run test cases, and retrieve results, ensuring reliable execution of user-submitted code. Exposed backend functionality via Flask endpoints, creating a portable and accessible solution that allows coding and submission from mobile devices.
MongoDB, Express.js, React.js, Node.js
Built a video streaming platform that streams videos in chunks smaller than 16MB, reducing initial load time and bandwidth usage by enabling partial content delivery. Implemented backend logic to dynamically serve video chunks and prefetch subsequent blobs, ensuring smooth playback and learning advanced data handling techniques. Demonstrated full-stack development using the MERN stack and gained practical experience in data slicing, chunked streaming, and backend performance optimization.
Java (proficient), C, C++, Python, JavaScript, Rust (basic)
Spring Boot, RabbitMQ, Kafka (proficient); Flask, Express.js, React.js, Node.js, Bootstrap, Tailwind (basic)
Kubernetes, Docker, AWS, Redis (basic-intermediate)