| +1 (516) 968 0854 | ym3144@nyu.edu | Brooklyn, NYC |
SUMMARY
Masters in Computer Science with 3 Years of experience in Full Stack development, demonstrating strong mentoring and leadership skills. Specialized in optimisation and scaling systems, proficiency in Python, JavaScript, AWS, Django, Microservices with exceptional analytical abilities and problem solving skills.
EDUCATION
Master’s in Computer Science, New York University, NYC, USA Aug 2023 - May 2025
- Courses: Database Systems, Distributed Systems, Data Structures and Algorithms, Big Data Intensive Computing. CGPA: 4.0/4.0
Bachelor’s, Indian Institute of Technology, Ropar, PB, India Jul 2017 - May 2021
- Courses: Computer Networks, Software Engineering, Machine Learning, Computer Vision and Image Processing. CGPA: 7.85/10.0
SKILLS
Programming Languages: C++, JavaScript, Python, Node.js, Rust, PHP, HTML, CSS, TypeScript.
Web Development: REST APIs, React, Django, FastAPI, Express.js
Databases: MySQL, PostgreSQL, Redis, MongoDB, NoSQL, Elasticsearch, DynamoDB.
Cloud Platforms: AWS, Azure, Apache Kafka, Spark.
Software Practices & Principles: Algorithms, Object-Oriented Programming, Design Patterns, Microservices.
Tools & Methodologies: Git, Jira, Agile methodologies, Docker, Kubernetes, Multithreading, MVC.
WORK EXPERIENCE
Secure Systems Lab, New York, USA Software Engineer Intern Jan 2023 - May 2023
- Built fully automated CI/CD pipelines backed by Github Actions, self hosted containers running 100 jobs over 5 repositories
- Implemented a Kubernetes cluster on prem and applied actions-runner-controller using custom containers
- Architected Dev containers using Docker Layers for consistent image building and better Dev productivity
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Created a new Libc-shim to run native applications inside Intel SGX TEEs, for the LIND Project under Confidential Computing
Tech Stack: C, C++, Docker, Kubernetes, Rust.
Amazon, Hyderabad, India Software Development Engineer March 2022 - April 2023
- Led and implemented L2 constructs using Typescript for AWS Evidently service in AWS Cloud Development Kit.
- Designed guardrails inside the constructs to ensure maintainability of feature flagging tools improving A/B feature flagging infra setup time by 25% and Dev productivity by 50%.
- Created Proxy Gateway using AWS API Gateway and Typescript Lambdas to expose feature flagging tools, resulting in a 40% reduction in development time for internal micro services.
- Developed and executed ReactJS-based UI prototypes for Feature Flagging education and demos, resulting in a 25% reduction in onboarding time for new clients.
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Authored a fully automated Continuous Deployment Pipeline for setting up Feature Flagging platform with high customisation, resulting in increase in operational efficiency of nearly 35%.
Tech Stack: Typescript, python, Java, ReactJs, AWS CDK, DevOps, REST.
Zenefits, Bengaluru, India Software Engineer Jun 2018 - Jul 2018
- Automated Enrollment, Terminations of plans by Implementing integrations of insurance carrier APIs(Principal and Guardian), Resulted in increase in efficiency by 70% processing 2k plans per day
- Developed mechanisms for Reconciliation of insurance carrier tasks to ensure correctness across systems. reducing manual Verifications by 100%
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Optimised EDI based insurance fulfillment with multi-processing, reducing running time by 50%
Tech Stack: Django, Python, Celery, MySQL, Sumologic, Backend Engineering
AWARDS & ACHIEVEMENTS
- Ranked in the Top 0.1% of 1.2 million students in the 2017 IIT JEE Advanced exam.
PROJECTS