Oct 2020 – May 2021 · 7 mos · Toronto, Ontario, Canada

Jun 2020 – Oct 2020 · 4 mos · Toronto, Ontario, Canada

Jun 2019 – Mar 2020 · 9 mos · Toronto, Canada Area

• Led the R&D team to establish and execute company’s road-map for machine learning and computer vision products

Nov 2018 – May 2019 · 6 mos · Toronto, Canada Area · Remote

• Established & mentored the cross-functional engineering team to deliver key client projects.
• Responsible for end-to-end project delivery including requirements gathering, building ML models, product API and production deployment

Jan 2018 – Oct 2018 · 9 mos

• Computer Vision consulting projects
• Authored technical articles at learnopencv.com
• Co-instructor at the course - Computer Vision for Faces

Jul 2016 – Jan 2018 · 1 yr 6 mos

Oct 2014 – Sep 2016 · 1 yr 11 mos · Bengaluru, Karnataka

• Worked directly with CTO to conceptualize & build two flagship products for lifestyle and furniture domain:
• 1. Visual Search - Snap and Search Shopping. Take a picture using a mobile device and search the visually similar products in the seller's catalogue.
• 2. Automated Tagging Engine - Programmatically generate tags/labels for products listed on an e-commerce platform to replace manual input and better discovery of products.
• While building the products, implemented a variety of computer vision techniques such as object detection, segmentation, background removal, content based image retrieval, multi-class multi-label classification, efficient indexing and retrieval of feature vectors.

Jan 2014 – Sep 2014 · 8 mos · Hyderabad, Telangana

• Streamlined and built a pipeline to handle streaming data of live sports
• Devised techniques, such as fuzzy string matching, to merge sports data from different sources

Jul 2012 – Nov 2013 · 1 yr 4 mos · Bengaluru, Karnataka

• Recruited under fast-tracked techno-functional managerial program
• Awarded Luminous Best New Recruit Award for exceptional performance in project

Jan 2012 – Jun 2012 · 5 mos · Bengaluru, Karnataka

• Predictive and descriptive analytics for the second largest beverage company in the world.
• Financial growth decomposition to recommend potential wins
• Deep dive analysis of gross profit distribution across markets and product categories
• Market segmentation and clustering

Jun 2011 – Dec 2011 · 6 mos · Kanpur, Uttar Pradesh

• Extended the research done in Masters' Thesis and published a paper.