Dynamic and innovative Master of Software Engineering student at Carnegie Mellon University, specializing in Scalable Systems. Demonstrated expertise in Java, Python, React, Spring Boot, and cloud technologies. Distinguished by leading a key research initiative at CMU's Human-Computer Interaction Institute and contributing to cutting-edge software solutions at Nextuple Inc.
- Master of Software Engineering in Scalable Systems, December 2024
- Courses: Design Patterns, DevOps and CI, API Design, Formal Methods, Machine Learning in Production
- QPA: 4
- Bachelor of Technology in Computer Science and Engineering, July 2021
- CGPA: 3.62/4
- Courses: Data Structures, Algorithms, Operating Systems, Cloud Computing, Advanced Databases
- Graduate Research Assistant, July 2024 - December 2024
- Developed an LLM-based prompt optimization algorithm for post-ASR correction on the CHiME-4 dataset, reducing WER from 7.49% to 4.88%, leading to a paper submission to IEEE ICASSP (published on ArXiv).
- Managed cluster jobs using Babel Cluster for efficient job scheduling with GPU support, ensuring proper Conda environment setup for seamless execution.
- Created a proof of concept with multimodal data (speech and text) to evaluate virtual patient agent performance for 7cups, providing insights into conversational impacts.
- Software Development Engineer Intern, May 2024 - July 2024
- Led development of a notification microservice using React, Node.js, and Spring Boot, automating instructor updates and reducing manual email tasks by 100%.
- Built CI/CD pipelines using Azure non-prod account and custom Azure Resource Manager to streamline deployment.
- Achieved 100% coverage in integration testing, ensuring reliability and performance.
- Software Engineer, June 2022 - July 2023
- Built a custom load balancer leveraging multiple reader pods in AWS, boosting system performance by 40%.
- Implemented near cache in Spring Boot for microservices, cutting API response time by 30 milliseconds.
- Constructed a New Relic dashboard with Elasticsearch, configuring 5-second alerts and monitoring 99th percentile API performance, enhancing anomaly detection by 35% and reducing service crashes by 25%.
- Architected a Kafka consumer using Avro serialization to process 25 million records, stored in Cassandra and Redis, cutting processing time by 66%.
- Developed performance scripts with JMeter, implementing batching to improve API efficiency by 15%.
- Associate Software Engineer, August 2021 - June 2022
- Led development of a full-stack application (Spring Boot, React) for the Support team, reducing order management time by 30% for the SDD application.
- Conducted a POC comparing Cassandra and ScyllaDB on VMs and Kubernetes.
- Built a browser extension and automation script to showcase Metro BOPIS, boosting client adoption by 20%.
- Implemented single sign-on for multiple identity providers in an authorization microservice.
- Conducted integration and user acceptance testing, code reviews, and unit testing for various microservices.
- Led a team to develop a high-performance movie recommendation service for over 1M users with <100ms response time.
- Engineered ETL pipelines to process Kafka streams and store user data in Postgres.
- Designed MLOps CI/CD pipelines in Jenkins, achieving 90% test coverage.
- Set up real-time infrastructure monitoring using Prometheus and Grafana with a 5-second refresh rate.
- Enhanced accessibility by developing a Twitch extension with C# and Node.js, featuring language translation for users with disabilities.
- Implemented web sockets to process game events, reducing latency by 25% and improving real-time responsiveness.
- Expert: Java, JavaScript, TypeScript, Python
- Intermediate: C/C++, C#, Ruby
- MongoDB, Cassandra, Redis, Elasticsearch, SQL, Postgres
- Node.js, Spring Boot, ReactJS, Redux, Flask, Express
- Azure, AWS, Docker, Kubernetes, Kafka, Pandas, NumPy, Jira, Postman, JUnit, Cucumber
- Medhavi Scholar
- GradRight Scholar
- Virtual Imagine Hackaton, HackIndore 2.0, and Nextuple Hackathon Winner.
- Star Award for delivering UAT successfully at Nextuple.
- Published a research paper with a novel approach to DDoS attack detection.