Member of Technical Staff 3

VMware, Bangalore, India

• Enhanced the performance and user experience of VMware Workspace ONE, for a smoother and more efficient digital workspace solution.
• Engaged in collaborative code reviews and mentored junior developers, enhancing code quality and team skill sets.
• Improved system performance by optimizing database queries and API calls, reducing API response times for more efficient user interactions.
• Actively participated in design reviews, addressing design flaws to ensure product adaptability and scalability.
• Took charge of fixing critical bugs and new feature development, quickly resolving issues and ensuring system reliability.

Senior Software Engineer

Philips, Bangalore, India

• Collaboratively worked on an IoT data collection project for clinical devices, enhancing efficiency and enabling predictive analysis of device failure.
• Achieved 100% test coverage through unit tests and optimized testing, resulting in a 25% time saving in the testing phase.
• Worked on serverless batch data processing, offering a scalable and cost-effective solution for clinical data.
• Implemented a remote service for device management, facilitating real-time updates and remote troubleshooting.
• Developed an auto-updates portal, ensuring devices remain up to date with the latest firmware and security patches.
• Handled autoscaling of cloud resources, ensuring optimal performance during peak loads.

Software Developer

One Identity LLC, Bangalore, India

• Strengthened system security with advanced authorization, reinforcing the company's leadership in IAM.
• Integrated federated authentication using Azure Active Directory, enhancing user security and management.
• Added caching strategies for STS microservice, reducing API latency by 30% and improving user experience.
• Incorporated role-based access control (RBAC) through OAuth 2.0, refining user permissions and security.
• Developed connectors for third-party vendors, enabling seamless service utilization and expanding product compatibility.
• Integrated Twilio for OTP, call, and push notifications, enhancing user authentication and streamlining communication workflows.
• Architected and deployed enterprise Radius authentication service, further enhancing network security and user management.

The State University of New York, Buffalo, NY, United States

Masters of Science - MS

GPA: 3.75

• Courseworks: Distributed Systems, Information Retrieval, Database Systems, Machine Learning, Modern Networking Concepts, Design and Analysis of Algorithms, Algorithms for Modern Computing, Project Development & Wireless Networks Security.
• Accomplishments: Served as a Graduate Teaching Assistant for Modern Networking Concepts subject, leading weekly discussions, grading assignments and exams, assisting course development, and maintaining a positive learning environment. Improved understanding of networking concepts while helping students succeed.

Puppy World

www.puppyworld.in

Solely designed and developed a well-working monolith cloud web service for a pet adoption online website from scratch with features like puppy breed finder, puppy breed wiki, puppy essential shopping, puppy online community forum, and puppy adoption portal using the latest technologies like .Net core web service, MongoDB, ML .Net, Azure cloud service and gained a lot of good exposure of end-to-end cloud application life cycle.

NYCANX - Ebay like auction website

www.nycanx.com

As one of the core Developer, contributed to building the New York Cannabis Exchange - an online B2B auction platform for buying and selling cannabis products in New York State. Built using React.js, HTML, Django, and MySQL, the website allows growers and distributors to auction their products, while buyers can easily find and bid on them, similar to eBay. The platform is hosted on AWS EC2 and RDS, providing a secure and reliable service for users.

Distributed Algorithms - Chandy Lamport & Raft Log Consensus

Associated with University at Buffalo

This project involves the design and implementation of distributed protocols over multiple machines. It covers various complex protocols, including distributed snapshot and the Raft consensus protocol. It requires a solid understanding of system and Go programming language requirements, coding style, and using relevant tools and IDEs.

Multi-topic Information Retrieval Chatbot

Associated with University at Buffalo

Developed a multi-topic information retrieval chatbot hosted as a web app in Google Cloud Platform, using S-BERT algorithm for query relevance and real-time query statistics and grouping charts for visualization. Achieved a seamless and natural conversation with follow-up questions and recommendation system.

Pet Adoption Assistance Chatbot

Associated with University at Buffalo

Developed a pet adoption assistance chatbot with a comprehensive database of pet breeds and their characteristics to help adoption centers manage their adoption process and for users to find pets based on their preferences. Employed machine learning algorithms for personalized pet recommendations. Python, Flask, NLP, Pytorch, and PostgreSQL were used in the back-end, while HTML, CSS, and JavaScript were used in the front-end. Real-world data were gathered using a web scraper developed from scratch, which presented data cleaning challenges.

Client-Server Text Chat Application

Associated with University at Buffalo

The text chat application is a client-server based program developed using socket programming in C/C++. The program allows multiple clients to connect to the server and engage in real-time text chat communication. The project is a demonstration of proficiency in networking and socket programming.

AI Chatbot

Associated with Philips

At Philips India Ltd, Designed and developed an advanced Chat-bot system containing neural network and ML models for the intelligence, to interact and solve user problems. This project was submitted for the internal Hackathon and won the first title .

SysBenchMark

Associated with Applied Materials

The purpose of this tool is to monitor the system performance on a regular basis so that the users will easily be able to track how well a system is performing or how bad it is. Based on this, if the system is degrading over time, it should be able to give an incentive as to the actual reason for performance degradation. The system metrics include CPU Load, Network, Memory usage, etc.