Sep 2023 – Jun 2025 · 1 yr 9 mos

• Lead AI strategy and execution across multiple product lines (including GenAI), driving innovation in Computer Vision, model performance, and scalable ML infrastructure. Built and mentored high-performing ML and MLOps teams, delivered production-grade AI systems under tight timelines, and played a key role in customer engagement and revenue growth.

Sep 2021 – Sep 2023 · 2 yrs

• ◦ Led a team of ML scientists and engineers in developing core foundational models, unlocking multi-million dollar treatment opportunities and demonstrating up to 1000x ROI over subscription costs.
• ◦ Built an A/B testing suite, enabling data-driven ML deployments and reducing model evaluation time by 50%.
• ◦ Partnered with Engineering to design and develop pre-processing pipelines, dramatically improving product stickiness.
• ◦ Influenced multiple product feature development to improve user feedback collection, driving cross-functional collaboration between ML, Product, and Engineering teams.
• ◦ Developed object detection, segmentation, and classification models using traditional and deep learning techniques.

Apr 2019 – Sep 2021 · 2 yrs 5 mos

• ◦ As a Founding engineer, played a key role in architecting AI model pipelines and system design.
• ◦ Developed 3D Computer Vision algorithms for scan quality assessment and margin segmentation, automating dental restoration workflows. Dental scans are 3D point cloud data and I have developed multiple deep learning models for segmenting the margins. Pre and Post processing using traditional/classical machine learning techniques.
• ◦ Developed and deployed deep learning models for image enhancement and classification to optimize upstream tasks.

Sep 2018 – Oct 2019 · 1 yr 1 mo · Santa Monica, California

• Logo detection in Videos
• Developed multiple Object Detection models for analyzing Dental X-Rays

Jan 2018 – Sep 2018 · 8 mos

• Gesture Recognition
• Developed an end-to-end pipeline for detecting and localizing in-appropriate gestures.

Jan 2017 – Dec 2017 · 11 mos

• Worked on multiple projects, some of which were deployed for real use within Disney parks -
• Image In-Painting (Image Fill)
• Prototyped multiple GAN architectures to remove photobombers from photos.
• Visual Search and Image Retrieval
• designed an ML pipeline to generate visually similar merchandise recommendations.
• Custodial of Tomorrow - Trash Prediction
• designed an ML prediction pipeline to predict fill rates within trash cans used in Disney parks.
• achieved 80% success rate in determining future fills.
• Pose Estimation
• Action Recognition in Videos

Sep 2016 – Sep 2016 · 0 mo · california

Aug 2016 – Dec 2017 · 1 yr 4 mos

• Advisor: Dr Ulas Bagci
• Focus areas: 3D Computer Vision, Machine Learning, Medical Imaging, Brain MRI.

Aug 2016 – Dec 2016 · 4 mos

• Manage and respond to course-related questionnaire from students.
• Grade programming assignments and tests, and compute and record results.
• Facilitate discussions with regard to course.

Jan 2014 – May 2015 · 1 yr 4 mos · Bengaluru Area, India

• Worked with BestBuy through Accenture. My primary role dealt with the technical enhancement of Digital Pipelines in OMS Yantra with coverage on order processing systems through Ship to Home, Home Delivery and Ship from Store channels.
• My responsibilities included -
• Improve the quality of OMS Yantra Integration with supporting systems such as POS, Apple Pay, Credit Authorization and Digital Download services.
• Enhance the recovery time with technical issues in Cross-Dock
• Defect Fixing

Aug 2013 – Dec 2013 · 4 mos · Bengaluru Area, India

• Worked at the Robert Bosch center for Cyber-Physical Systems on a project titled - "Smart Transportation". Providing Real-Time forecast about the transit times of public transportation vehicles to commuters was the motivation behind this project.
• My responsibilities in this project were -
• Gather Statistical Data for use with the Learning algorithm.
• Develop a system to accurately predict the Arrival and Departure time of vehicles.
• Develop an Android application to display transit time details from the server.
• Deploy the algorithm on Google App Engine cloud.