Available to hire
Hi, I’m Ali Ahmed, a research-driven AI/ML engineer and entrepreneur with a strong background in signal processing, generative AI, and industrial analytics. I’ve led startups and integrated AI into gas, fintech, healthcare, and IIoT systems, delivering practical, data-driven solutions that scale.
I enjoy bridging theory and deployment—mentoring teams, publishing research, and building cross-functional products that improve efficiency, safety, and decision-making in complex environments.
Skills
Experience Level
Work Experience
AI Consultant at OpenAI
July 1, 2024 - September 1, 2024Prepared question-answer datasets to train large-language models and assigned rewards based on dataset quality using detailed evaluation rubrics. Employed fine-tuning techniques with reinforcement learning to enhance LLM performance and contributed to training workflows and reward modeling.
Generative AI Engineer at Savantz AIA
April 1, 2024 - October 1, 2024Designed and deployed custom diffusion models for consistent character generation in videos and images, leveraging variants of Stable Diffusion, MidJourney, and DALL-E for visual storytelling from text narratives. Built a pipeline integrating tools to ensure character consistency across scenes and deployed at scale on AWS with CI/CD.
Industry Project Director at GAS Inc.
April 1, 2024 - December 1, 2024Generative AI: Designed and deployed fine-tuned LLM models to extract structured information from unstructured audit reports. Leveraged AWS services (EC2, ECS, Lambda, Airflow) for scalable deployment and automation. Optimized LLM inference speed with Unsloth and implemented parameter-efficient fine-tuning (PEFT). Led multi-agent systems for structured information extraction, database traversal, and question answering using RAG techniques and vector databases. Established robust CI/CD pipelines and managed cross-functional teams.
Senior ML Engineer at Tellus You Care
August 1, 2022 - October 1, 2023AI in Healthcare: Developed predictive models to process radar point cloud data for monitoring elderly patients without attendants, enabling real-time tracking of activities and detection of health hazards like falls, heart attacks, and irregular sleep patterns. Addressed challenges of noisy data caused by electromagnetic propagation and multipath effects; conducted extensive ML model development and feature engineering to detect vitals, bed positions, room dimensions, and sleep patterns.
Chief Scientist at Netsol Technologies
February 1, 2020 - April 1, 2024AI in Fintech: Led cross-functional teams to develop innovative solutions, including credit underwriting systems, customized car financing products, customer churn prediction models, and explainable AI for credit decisioning. Provided technical vision and strategic guidance to align AI capabilities with business development and market positioning.
CEO/Co-Founder at Qult AI
January 1, 2020 - PresentFounded a startup and developed an AI-based controller for plunger lift systems to optimize gas well operations using live pressure and production data. The solution enhanced gas production efficiency, minimized methane emissions, and reduced equipment wear. Bootstrapped the venture and secured $100K in investor funding.
Chief Scientist at INTECH Process Automation
September 1, 2018 - July 1, 2020Led the Signal Intelligence Division to develop AI-based predictive analytics products for industrial machinery monitoring and fault diagnostics in IIoT settings. Designed solutions for fault classification, anomaly detection, root-case analysis, and fault propagation pathways to improve operational reliability.
Visiting Assistant Professor at Massachusetts Institute of Technology (MIT)
May 1, 2017 - August 1, 2018Imagining Inverse Problems with Learned Priors; taught and supervised research in the Imaging and Computing Lab, Department of Mathematics.
Postdoctoral Associate at Massachusetts Institute of Technology (MIT)
January 1, 2015 - March 1, 2016Research under Prof. Laurent Demanet in the Imaging and Computing Lab focusing on inverse problems, signal processing, and convex optimization.
Postdoctoral Fellow at Brown University
September 1, 2014 - December 1, 2014Institute of Computational and Experimental Mathematics; research in computational mathematics and inverse problems.
Lecturer and Assistant Professor at University of Engineering and Technology, Lahore
September 1, 2013 - August 1, 2015Lecturer and Assistant Professor in the Department of Electrical Engineering; taught and supervised undergraduate/graduate coursework and research.
Graduate Research Assistant at Georgia Institute of Technology
September 1, 2009 - August 1, 2013Center for Signal and Information Processing; research on low-rank matrix recovery and compressed sensing.
Lecturer at University of Engineering and Technology, Lahore
June 1, 2005 - August 1, 2007Lecturer in the Department of Electrical Engineering.
Education
PhD candidate in Electrical and Computer Engineering at Georgia Institute of Technology
January 1, 2009 - July 1, 2013MS in Mathematics at Georgia Institute of Technology
January 1, 2009 - May 1, 2013MS in Electrical Engineering at University of Michigan, Ann Arbor
September 1, 2007 - December 1, 2008BSc in Electrical Engineering at University of Engineering and Technology, Lahore
January 1, 2001 - December 1, 2004Qualifications
Fulbright Fellowship for PhD
January 1, 2009 - December 31, 2012Fulbright Fellowship for Masters
January 1, 2007 - December 31, 2009Lahore Board Fellowship for B.Sc. Electrical Engineering
January 1, 2001 - December 31, 2005Advisor to the President of Pakistan on Emerging Technologies
January 1, 2019 - June 29, 2026HEC NRPU – An Advanced Coding Scheme for Wireless Communication in an Unknown Environment
January 11, 2030 - June 29, 2026HEC NRPU – Rapid and Affordable Food Adulteration Testing Framework using Spectroscopy and Artificial Intelligence
January 11, 2030 - June 29, 2026HEC National Centers – Cyber Security and Artificial Intelligence Research Lab
January 11, 2030 - June 29, 2026Industry Experience
Software & Internet, Healthcare, Financial Services, Manufacturing, Professional Services, Energy & Utilities, Other
Skills
Experience Level
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