Hi I'm Megh.

I build teams and turn new technology into products customers use. I have led a machine-learning function, managed multidisciplinary teams through their leads, and owned a software platform end to end.

I try to keep this page up-to date, but I sometimes fall behind. You can contact me at:

Email: meghss at proton dot me · LinkedIn

Boltanic

My applied-AI consultancy, helping companies evaluate ideas before committing to larger initiatives.

FOSSA

Senior Software Engineer

FOSSA helps enterprises such as Fujitsu, Splunk and UiPath identify and manage vulnerabilities and license obligations in open-source software.

• Built FOSSA's first native container scanner, giving customers visibility into vulnerable packages and license issues inside their images.
• Built and maintained analyzers for package managers including npm, Poetry and Gradle, identifying dependencies for vulnerability and license analysis.
• Developed call-graph analysis to show whether application code could reach a reported vulnerability in a dependency.
• Partnered with the product team to bring those findings into customer workflows, and explained the capabilities in customer calls and webinars.

Absorb

Head of Machine Learning

Absorb provides learning management software to enterprise customers such as Sony, Toyota and Samsung, serving 30+ million users.

• Built and led the machine-learning function, hiring a multidisciplinary team and setting the roadmap for search and AI across the product.
• Led development of Intelligent Assist, giving administrators a natural-language way to complete tasks that had required navigating complex workflows.
• Delivered automated transcription, report suggestions, auto-tagging, content generation and recommendations. These features became prominent in sales demonstrations.
• Established Python development practices and contributed to architecture, backend standards and experimentation across engineering.

Emagin (acquired by Innovyze, now part of Autodesk)

Chief Technology Officer

AI software for optimizing water and wastewater operations at utilities and industrial plants internationally.

• Led machine-learning, software, product and support teams through team leads and a product manager.
• Set technology direction and product priorities, balancing the SaaS roadmap with customer contracts and longer-term research.
• Helped shift commercial strategy toward smaller municipal contracts and staged platform adoption, using early contracts to build support for that direction.
• Built early platform IP for model serving, data ingestion and near-real-time optimization of water infrastructure.
• Managed technology-partner relationships and represented Emagin in customer meetings, conferences and investor presentations.

Patents, publications and speaking

• Patent: Predictive Modelling and Control for Water Resource Infrastructure, US 11,586,163.
• Containers and Open Source License Compliance, Practicing Law Institute
• Extreme Precipitation Time Trends in Ontario, 1960–2010
• Ontario Water Works Association seminar, 2017

Education

BASc, University of Waterloo.

Additional MASc studies at the University of Waterloo. Left before completing the degree to focus on Emagin.