Master's of Artificial Intelligence & Computer Science

2024 - 2026

Yeshiva University, Manhattan, NYC

Coursework: Machine Learning, Deep Learning, GenAI, LLMs, Data Acquisition and Management, Artificial Intelligence, Neural Networks, Predictive Modeling, NLP

Bachelor of Information Technology

2017 - 2021

Pune Institute of Computer Technology, Pune

Coursework: Advanced Data Structures, Computer Organization and Architecture, Operating Systems, Computer Networks, Software Development, Object Oriented Programming, Theory of Computation

• Reacted swiftly to resolve a critical production issue that impacted odometer calculations for 45,000+ vehicles due to a subtle bug in GPS noise filtering logic, causing false distance accumulation. Identified and fixed the root cause within hours, then engineered and optimized a high-throughput data correction script to retroactively fix millions of incorrect odometer entries, all while ensuring live vehicle updates continued seamlessly. Monitored the fix for a week, scaling database performance and validating corrected data, showcasing resilience, technical expertise, and ownership in addressing the largest-scale incident in the company's history.
• Awarded the 'Project Excellence' recognition during the IBM G.R.M. Project for contributions to the Citizen Information Gathering System, which streamlined internal processes and enhanced response times for COVID-19 related grievances during UAT testing.
• Winner of the Inter-University Manipal Hackathon for developing a Crop Recommendation System for Farmers

• Certified in Google Cloud Professional Data Engineer (2023).
• Certified in Deep Learning Specialization by Andrew Ng (Coursera, 2022).
• Certified in Microsoft Azure Fundamentals (AZ-900) (2021).
• GitLab Certified CI/CD Associate (2021).

Intangles.ai, Pune, IN

2022 - 2024

Senior Software Engineer

• As part of core Product Engineering team, I worked on backend engineering for vehicle performance & EV features, building microservices & distributed systems that process over 13+ billion data points daily.
• Revamped ’Fleet performance reports’ backend pipeline, saving 17500 USD annually, by adopting Message Queuing architecture & eliminating RPC server dependency.
• Co-developed ‘Pytangles’ SDK offering a unified abstraction layer for diverse relational & non-relational database access layers (incl. MongoDB, TimescaleDB, ScyllaDB). This SDK streamlines query generation & facilitates faster development for different database querying structures.
• Engineered Simple Moving Avg. algo to reduce noise in fix-3 GPS data, achieving 96% reduction below 5km/h.
• Developed backend pipeline for Intangles’ ‘ChargeMate,’ a charging station recommendation feature for EVs, integrating Python ML models with NodeJS data APIs. Used by ˜10,800 vehicles daily.
• Created a unit testing framework for data APIs using Mocha & co-developed an integration testing framework with Kubernetes & CircleCI. This setup detects issues before deployment, reducing backend bug reports by 60%.
• Designed technical design documents & led code reviews, ensuring best practices & architectural standards.
• Initiated ”Engineering Weekly” meetups for the dev team to showcase achievements and foster discussions.

UBS Group AG, Pune, IN (U.K. Remote team)

2021 - 2022

Software Engineer

• Created an automation plugin for GitLab-Octane integration, used by 1600+ developers.
• Built CI/CD pipelines for automated testing on Azure VMs and created a monitoring dashboard for real-time server insights and test management, supporting 2000+ UBS developers.
• Built an end-to-end automated tool for cloud migration, optimized project migration time from 4 days to 8 hours.