I'M

SHRUTI UDUPA.

Welcome to my Digital Den! A curated space for my professional journey, hobbies and everything in between. A little bit of logic, a little bit of heart, and a whole lot of me!

What's keeping me busy lately?

May 23, 2025

Prepping for AgentHacks 2025, where the future of agentic AI takes center stage in San Francisco. I’ll be joining virtually!

Milestone Map

Apr 2025 - Present

Data Scientist, Green Catapult Inc.

Involved in building deep learning pipelines in close collaboration with executive leadership to design and prototype a project in the voice technology space.

Sep 2024 - Present

Research Assistant, University of Texas at Arlington Research Institute (UTARI)

I have been researching leveraging Graph Neural Networks (GNNs) for edge prediction and motion trajectory modeling for dynamic systems, and in collaboration with professors, I am enhancing these models through Physics-Informed Graph Neural Networks (PIGNNs) by incorporating physical regularization terms into the loss function to better model the dynamics of complex systems.

May 2024 - Aug 2024

Data Scientist Intern, Lennox International Inc.

In this role, I developed and deployed generative AI applications using Azure Services and OpenAI’s LLM to automate communication for residential HVAC dealers and HVAC specification extraction from mechanical schedules, improving response times and reducing quote preparation time from days to few hours.

Aug 2023 - Dec 2024

Masters in Computer Science, University of Texas at Arlington

I earned my Master’s degree in Computer Science with a specialization in Intelligent Systems, where I expanded my expertise into robotics and reinforcement learning. My academic journey was complemented by active participation in student organizations, from contributing to Autonobots and the Not-a-Boring Competition to performing as a dedicated dance member of the Indian Mavericks Society, celebrating culture and creativity alongside my technical interests.

Sep 2021 - Apr 2023

Senior Data Scientist , Trinity Mobility Pvt. Ltd.

My journey as a Senior Data Scientist was about turning complex data into actionable intelligence. I built end-to-end pipelines of predictive models that anticipated maintenance failures before they happened, optimized pricing strategies that increased client revenue, and helped cities make smarter decisions with AI-driven traffic and energy forecasts. I worked closely with cross-functional teams to bring AI from concept to reality while mentoring junior colleagues to push the boundaries of what machine learning could achieve.

Oct 2020 - Sep 2021

Machine Learning Engineer, Pixuate

My role revolved around making AI-driven vision systems smarter, faster, and more reliable. I fine-tuned ANPR models to improve key-point detection and optimized OCR for sharper recognition, boosting accuracy while reducing latency. My research in stereo vision and camera calibration helped correct thermal-to-RGB mapping errors, enhancing real-world performance. On the deployment side, I worked with Jetson and Raspberry Pi to run high-accuracy fire detection and people-counting models at the edge, integrating cloud-based training and automated workflows for seamless AI deployment.

Apr 2020 - Sep 2020

AI/ML Developer, Lincode Labs Inc.

I helped in building automated quality inspection systems for manufacturing industries by developing AI-driven defect detection, and segementation models. Using YOLOv3, OCR, and U-Net, I built inspection pipelines for vehicle air filters. I also contributed to LEVIS, an internal platform that simplified deploying AI inspection solutions, working with Django, Redis, and MongoDB. My role wasn’t just technical, I engaged with clients in the manufacturing sites, gathered requirements, and ensured inspection model deployments in real-world production lines.

May 2019 - May 2020

Post Graduate Program, Artificial Intelligence and Machine Learning, McCombs School of Business and Great Lakes Executive Learning

My journey into AI began with this 12-month intensive program, where I built a strong foundation through projects in sentiment analysis, face recognition, recommendation systems, clustering, regression, and ensemble techniques.

Jun 2017 - Sep 2019

Project Engineer, Wipro Technologies

I supported a healthcare products client in enhancing their product lifecycle processes by configuring and optimizing Enovia PLM solutions. I provided 24/7 functional and technical support, resolving issues swiftly to minimize downtime. Using MQL and Java, I developed automation scripts, deployed code fixes, and introduced enhancements that boosted efficiency.

May 2012 - May 2016

Bachelors in Computer Science and Engineering, Kerala University

With a BTech. in Computer Science under my belt, I also embraced campus life through group singing and dance performances as part of my university’s cultural activities.