Hi, I'm Fahad 👋
ML applied scientist passionate about building innovative solutions and tackling new challenges
FA

About

ML applied scientist specializing in data science and AI innovation, with a proven track record of scaling technology companies across Web2 and Web3 sectors. Holding an MS in Digital Health Informatics and deep expertise in AWS, GCP, and NVIDIA platforms, I combine advanced ML knowledge with strong business acumen and communication skills to deliver impactful AI solutions. Currently, working on my own projects and contributing to open source projects for mental health LLM and Agentic AI. My work focuses on transforming healthcare delivery through innovative ML applications. When I'm not pushing the boundaries of healthcare AI, you'll find me on the tennis court or exploring hiking trails.

Work Experience

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Freelancer.com

Dec 2023 - Oct 2024
ML Engineer
• Designed ML models to forecast housing demand trends based on socioeconomic data • Created clustering algorithms for targeted housing assistance programs • Implemented ML pipelines for high-cardinality categorical data processing • Developed classification models with 90%+ accuracy for health plan enrollment • Conducted feature engineering to improve model interpretability • Built regression models for health plan costs and housing affordability metrics • Applied PCA to reduce dimensionality in large datasets • Evaluated models using R-squared and MAE metrics
U

UCSF - Digital Health Hub Foundation

March 2021 - Oct 2022
Data Science Intern
• Conducted EDA on VC-backed and non-profit startups • Built predictive models to forecast startup success rates • Applied clustering techniques to segment startups by industry and funding stage • Developed recommendation systems for investor-startup matchmaking • Created dashboards to visualize contest performance metrics • Collaborated with cross-functional teams on contest strategy planning
U

University of San Francisco

August 2021 - Dec 2023
Graduate Student
• Incorporated multi-agent LLM architecture for billing workflows • Conducted data-driven analysis of racial inequities in heart disease outcomes • Developed predictive models to quantify mortality risk disparities • Proposed novel reservoir computing framework for brain signal analysis • Engineered automated system combining LLMs with FHIR/SNOMED CT integration • Implemented dynamic FHIR resource generation from clinical notes
S

SF State University

June 2016 - Mar 2021
Decision Sciences Student
• Developed game-theoretic framework for digital triage queues • Engineered dynamic premium pricing models reducing costs by 18% • Built clinical text processing system with 85% F1-score • Designed encrypted call metadata capture system with 99.2% accuracy

Education

U

University of San Francisco

August 2021 - Dec 2023
Master of Science in Digital Health Informatics
S

San Francisco State University

April 2017 - May 2021
Bachelor's Degree of Decision Sciences
C

Communication and Information College

August 2006 - July 2009
Bachelor's Degree of Computer Science

Skills

PyTorch
TensorFlow
Scikit-learn
OpenCV
Python
R
Panda
React
Next.js
Typescript
Node.js
Python
Postgres
SQL
Docker
Kubernetes
My Projects

Check out my latest work

I've worked on a variety of projects, from simple ML model to complex end to end AI applications. Here are a few of my favorites.

Projects coming soon!

Hackathons

I like building things

I've participated in various hackathons where people from all over the world come together to build amazing projects in just a few days. It's inspiring to witness the creativity and possibilities unlocked by passionate teams.

  • M

    MISK Global Forum

    NYC, NY, USA

    Participated in the MISK Foundation hackathon wiht AI blood bank platform to help distrbute the inventory to the needy
    Website
  • M

    MIT Hacking Medcine

    New York City, NY, USA

    Post-winning MIT Hacking Medicine Grand Hack NYC 2018: AI Decision Support System for Primary Care
    Website
Contact

Get in Touch

Want to chat? Just shoot me a dm via email and I'll respond whenever I can. I will ignore all soliciting.