• 🔭 I’m currently working on Data Science, Software Engineering and Cloud Computing

• 🌱 I’m currently learning Azure, AWS, Machine Learning, and Deep Learning

• 💬 Ask me about AWS, Fullstack Development, ML and AI

• 🎮 I love playing Assassins Creed, Madden NFL, God of War, NBA 2K, Elden Ring, F1 Manager, Hogwarts Legacy

• 📫 How to reach me [email protected]

New York University

• M.S. in Computer Science | Sep 2023 - May 2025
• Relevant Coursework: Design & Analysis of Algorithms, Machine Learning, Big Data, Deep Learning, Computer Vision, Foundation of Entrepreneurship (Stern)

VIT University, Vellore

• B.Tech in Computer Science Engineering | July 2017 - Aug 2021
• Relevant Coursework: Design & Analysis of Algorithms, SQL (Database Management Systems), Artificial Intelligence, Machine Learning, Operating Systems

Languages: Java, Python, C, C++, JavaScript, SQL, Kotlin, Julia, Haskell, Lisp

Front-End: HTML, ReactJS, CSS, GraphQL, Tailwind CSS, AngularJS, Bootstrap

Back-End: Django, Express.js, Node.js, Spring Boot, Maven, Flask, FastAPI

Cloud Technologies: AWS (EC2, S3, DynamoDB, RDS, VPC, Cognito, IAM, CloudFormation, Amplify, Redshift, API Gateway, EKS, ECS, Elastic Beanstalk, Glue), Azure, GCP

Operating Systems: Windows, MacOS, Linux, Android, iOS

AI, ML & Data Science: PyTorch, TensorFlow, Conda, Altair, R, Keras, Pandas, Numpy, Scikit-Learn, Spark, Kafka

Research Assistant - AI/ML, New York University Sep 2023 – Present

• Conducting research on advanced machine learning algorithms for data analysis and prediction.
• Developing AI models to support various academic projects, focusing on deep learning and computer vision.
• Collaborating with professors and fellow students to publish research findings in reputed journals.

Philips | Full Stack Software Developer August 2021 – July 2023

• Directed a team of 5 engineers in the development of the Java Backend Architecture for the Philips Remote Patient Monitoring Team; delivered innovative solutions for products such as the Philips Bio Hub and the Philips 2Net2 Hub.
• Led a team of 5 in the creation of Customer Device Data Exporters (CDE), optimizing data extraction processes and enabling real-time analytics for 100k+ devices, resulting in a 25% increase in data-driven decision making.
• Orchestrated the development of a cutting-edge Centralized Management System (CMS), streamlining operations across 10+ Philips departments and reducing manual processing time by 40%.
• Implemented 14 Adapters and Decoders written in Java, Python, and C++ which format the Medical Device Data for devices like Glucometer, Fora Thermometer, Blood Pressure Monitor, Oximeter, Lung Monitor, and A&D Weighing Scales.
• Designed the CI/CD pipelines and Automated Deployment support for the repositories. The product received 4.8 stars out of 5 in the external customer review.

Philips | Software Engineering Intern February 2021 – August 2021

• Eliminated 12 security issues arising from Penetration testing of the project, which facilitated a smooth release.
• Devised the integration of SonarQube, Blackduck, Fortify, and CloudWatch for the 12 Java Repositories. Worked on reducing up to 200 SonarQube and Fortify High and Critical bugs in production, reducing the technical debt.
• Assisted in Automated Testing of the Hub applications and the VHC (Virtual Hub Communication) User Interface using Selenium, Karate, and Cucumber, and succeeded in executing 100 test-cases.
• Spearheaded development and implementation of a new employee corporate social responsibility program, leading to 4x more participation.
• Analyzed 1500+ responses to a consumer survey to evaluate brand perception and customers' willingness to pay.
• Facilitated two 3-day design thinking workshops for 15 senior executives to identify and prioritize opportunities to enter three new international markets.

• AWS Certified Solutions Architect Associate – SAA C03
• AWS Certified Developer Associate – DVA C02
• Azure Certified Data Scientist Associate - DP100
• Udemy: Database Management Systems – MySQL & PostgreSQL | Deep Learning and Artificial Neural Networks | Machine Learning Fundamentals
• Coursera: Spring Boot and Spring Framework, Vanderbilt University | Cyber Security and Internet of Things, Kennesaw University

• LiveGram – A multi-platform social media application – MongoDB, Node.js, Express.js, React.js, Amazon Web Services.
• Hand & Facial Gesture Recognition Application – CNNs, RNNs, Deep Learning, Machine Learning, Artificial Intelligence.
• Railway Management System – MongoDB, Node.js, Express.js, React.js.
• Driving Lane Line Detection – Artificial Intelligence, OpenCV, Machine Learning.

• Philips CEO Awards Managerial Recognition for Outstanding Performance
• Philips Peer Recognition for Outstanding Performance
• Philips Take Ownership to Deliver Fast Award for Q3 2021
• Runner’s up – Philips HealthSuite Platform (HSP) Hackathon 2021