Sangharsh Aglave

Lead ML Engineer

Toronto, Ontario, Canada8 yrs experience

Highly StableAI Enabled

Key Highlights

7 years of experience in AI and Computer Vision.
Led impactful AI projects at eBay.
Strong academic background in Computer Science.

Stackforce AI infers this person is a skilled AI and Computer Vision engineer with a focus on E-commerce solutions.

Contact

sangharsh.aglave@synopsys.com LinkedIn

Skills

Core Skills

Computer VisionGenerative AiOptical Character Recognition (ocr)Cross-platform DevelopmentSdk Development

Other Skills

AlgorithmsAnalytical SkillsAndroid DevelopmentApache CordovaBritish EnglishCCommunicationComputer HardwareComputer Network OperationsComputer ScienceComputer SecurityCore JavaData StructuresDeep LearningE2E

About

I have 7 years of industry experience implementing and leading Computer Vision and Generative AI projects. I am enthusiastic about using technology to improve the quality of human life and foster an equitable world. At eBay, I led AI projects, including an identity document verification system using Optical Character Recognition (OCR), leveraging Facial Recognition to bolster seller security and prevent fraud, and detecting prohibited and restricted items using GPT-4. With these solutions, I significantly improved seller experience and automated manual tasks, resulting in monetary gains. I hold an MS in Computer Science from Georgia Tech and a BTech in Computer Science from IIT Kanpur.

Experience

8 yrs

Total Experience

2 yrs 9 mos

Average Tenure

Current Experience

Synopsys inc

Senior Staff Engineer, AI

Oct 2024 – Present · 1 yr 8 mos · Greater Toronto Area, Canada

Ebay

4 roles

Software Engineer 3

Mar 2023 – Mar 2024 · 1 yr · On-site

Spearheaded projects AI projects in the Payments' Risk domain at eBay. Led an LLM-based detection system to detect prohibited listings. Implemented a Facial Recognition solution to identify forged documents that use the same face on multiple documents.

Computer VisionFacial RecognitionPandas (Software)Generative AILarge Language Models (LLM)Feature Engineering+2

Software Engineer 3

Promoted

May 2022 – Mar 2023 · 10 mos · On-site

Pandas (Software)Feature Engineering

Software Engineer 2

Feb 2020 – May 2022 · 2 yrs 3 mos · On-site

Developed and deployed an Optical Character Recognition (OCR) based solution that verified identity documents like passports and driver's licenses by comparing the OCR text with user input.

Computer VisionOptical Character Recognition (OCR)E2EPandas (Software)

Software Engineer Intern

May 2019 – Aug 2019 · 3 mos · San Jose, California

Developed a prototype for an Optical Character Recognition (OCR) model using Connectionist Text Proposal Network (CTPN) for text detection and PyTesseract for recognition

Computer VisionOptical Character Recognition (OCR)Pandas (Software)Text Recognition

Georgia institute of technology

Graduate Teaching Assistant

Jan 2019 – Dec 2019 · 11 mos · Greater Atlanta Area

Teaching Assistant for Data and Visual Analytics taught by Prof. Polo Chau. Conducted office hours for students and graded assignments and projects

Teaching

Ca technologies

3 roles

Software Engineer

Promoted

Jul 2016 – Jul 2018 · 2 yrs

Engineered cross-platform SDKs in Apache Cordova. This allowed the expansion of the Mobile App Management product to clients not using natively developed apps, resulting in a larger target market and bringing in 10% more revenue.

Android DevelopmentCross-platform DevelopmentiOS DevelopmentApache Cordova

Associate Software Engineer

Jul 2015 – Jul 2016 · 1 yr

Implemented features for an app management product. Collected app analytics data, such as app load time, gestures, and frame rate and created SDKs to enable app developers to access this data.

iOS DevelopmentSDK development

Software Trainee

May 2014 – Jul 2014 · 2 mos · Bangalore

Developed iOS apps to showcase Mobile App Management (MAM) features to potential clients

iOS Development

Mangosense inc

Marketing Intern

May 2013 – Jul 2013 · 2 mos

Created a marketing campaign to promote e-Learning products to schools. This included Direct Marketing, social media campaigns, and Search Engine Optimization (SEO)

Social Media MarketingMarketingSearch Engine Optimization (SEO)