About
Mohamed Leila
I've spent the last decade building AI systems that run in production, not just in notebooks. My work has spanned LLM applications, ML platforms, responsible AI governance, and industrial optimization across law enforcement, enterprise software, mining, and startups.
I started Adaptive Gradients because I kept seeing the same pattern: teams with real AI opportunities but no clear path from idea to working system. I help close that gap.
Background
Where we've worked
2026 – Present
Founder
Adaptive Gradients
AI consulting for organizations building production systems. Strategy, implementation, and ongoing technical partnership.
2024 – 2025
Co-founder & CTO
Grownomic AI
Built agentic workflows for Google Ads campaign management, an AI-assisted landing page builder used by paying clients, and custom ChatGPT applications. Owned architecture and engineering end-to-end.
2022 – 2024
Manager, Responsible Innovation Platform
Axon
Led ML engineers building a responsible innovation platform for computer vision, LLMs, and automatic speech recognition. Built automated evaluation workflows for ethical AI performance across international markets. Designed privacy-preserving, GDPR-compliant evaluation pipelines.
2021 – 2022
Lead, AI Trust & Governance Lab
ServiceNow Research
Led applied research in privacy-preserving ML and federated learning. Trained ServiceNow's first federated learning model. Developed adversarial attacks to evaluate privacy of enterprise language models.
2019 – 2020
Specialist Data Scientist
Rio Tinto
Led data science projects for Canada's largest iron ore producer. Optimized smelting operations and mine feed scheduling with ML. Built Spark ETL pipelines on AWS.
2018 – 2019
Data Engineer
Wavo.me
Built the early cloud architecture of Wavo's Music Intelligence Platform. Developed ETL pipelines in Spark and AWS (S3, EMR, RDS, Glue, Athena) and time series forecasting systems to prioritize expensive API calls.
2017 – 2018
Operations Research Architect
Lean Systems
Designed vehicle-routing algorithms for ground transportation and maintenance scheduling models for business aviation. Built interactive web apps for fleet operations visualization. Contributed to the core optimization engine.
Education
Academic background
PhD, Renewable Resources
McGill University
Applied optimization and geospatial modeling for biofuel supply chain viability.
MSc, Environmental Monitoring & Management
King's College London
BSc, Physics
The American University in Cairo
Want to work together?
If you're building with AI and want a technical partner who's done it before, we'd like to hear what you're working on.
Read detailed project writeups on my personal site.
Get in Touch