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Muhammad
Ali Haider

Data Scientist & ML Engineer

Turning data into decisions. With 5+ years of experience, I build and deploy machine learning models across finance, retail, and cybersecurity — from fraud detection and demand forecasting to NLP, computer vision, and marketing mix modeling.

Ali Haider
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About Me

Hello, my name is Ali and I have authored several research publications. I have extensive experience in building, deploying and testing ML/AI models at scale. I hold a dual master's degree.

I am a Data Scientist by day and a Mad Scientist by night (evil laugh intended), who is constantly on the lookout for the most state-of-the-art algorithms. I am interested in coding, mathematical modeling, optimization, machine learning, graph neural networks, reinforcement learning, and the intersection of all these.

Python
Machine Learning
Deep Learning
Operations Research
SQL
Fraud Detection
Graph Neural Nets
Reinforcement Learning
Computer Vision
NLP
PyTorch / TensorFlow
LangChain / Multi-Agents
R / SAS
GAN / GenAI

Work Experience

Founding AI/ML Engineer

Apply Sprint Acquired — Remote Sep 2025 – Mar 2026
  • Went from zero to production building a multi-agent AI system (LangGraph + LangChain) that matches candidates to jobs and rewrites their resumes — all orchestrated by GPT-4, Claude, and DeepSeek working in concert. Under the hood: a two-stage NLP pipeline with a fine-tuned XLM-RoBERTa classifier (PyTorch) feeding a stacked ensemble, the whole thing living in Dockerized containers on AWS. Wanna see? Check it out here.
  • Wore a lot of hats as Founding Engineer — designed the architecture, shaped the ML pipeline, shipped to prod, and kept a small team of engineers pointed in the right direction, all the way through acquisition.

Senior Data Scientist

Bank of America — Charlotte, NC Feb 2024 – Aug 2025
  • Kept a watchful eye on fraud models guarding $20B+ in annual transactions across Mastercard and OMNI credit card portfolios — tracking CSI, PSI, AUC-ROC, and rank ordering to make sure nothing drifted off the rails (regulators included).
  • Dug deep into dozens of KPIs to find the "why" behind model misbehavior, and built surrogate fraud detection models using black-box distillation to reverse-engineer what third-party models were actually up to.
  • Translated gnarly model performance findings into clean executive reports that senior leadership could actually act on — no jargon overload, just clear insights and a path forward.

Data Scientist

Lowe's — Charlotte, NC Feb 2022 – Jan 2024
  • Media Mix Modeling: Built a statistical framework to figure out which marketing dollars were actually doing anything. Used XGBoost as a baseline, wrestled with multicollinearity, and layered in Bayesian and ensemble methods for clean attribution. The payoff? A 3% ROI uplift on a $900M marketing budget — real money.
  • Predicting Sales During Storms: When hurricanes hit, Lowe's needs to know exactly what to stock and where. Built regression models to forecast sales across 3,000 stores and 30,000 product assortments during severe weather — using K-Means clustering to find patterns, and a full Docker + Kubernetes + MLflow pipeline to ship it all cleanly to prod.

Data Scientist

HTN Networks Inc. (Cisco) — Irvine, CA Apr 2020 – Jan 2022
  • Built an ML system to hunt down malicious network traffic — combining reinforcement learning with an ensemble model that kept getting smarter through continuous experimentation. Set up data drift monitoring so it wouldn't go stale after deployment.
  • The numbers speak for themselves: 97% F1 score, 42% fewer false alarms, and 35% faster threat response. The network security team was happy. The attackers, less so.

Graduate Research Assistant

NC State University — Raleigh, NC Aug 2017 – Jan 2018
  • Joined a sustainability research lab and put ANOVA and ARIMA to work — forecasting environmental trends and squeezing more reliability out of the predictions used in impact assessments.
  • Turned messy environmental datasets into actionable insights using good old-fashioned statistics. Unglamorous, important work.

Teaching Assistant

Istanbul Sehir University — Istanbul, Turkey Sep 2015 – May 2017
  • Helped undergrads survive their coursework — grading, tutoring, and running discussion sessions without making anyone cry (most of the time).
  • Ran Python and SQL labs that actually made students better coders. Turns out explaining the same bug twelve different ways is a great way to really understand it yourself.

Education

2017 – 2020

Master's in Operations Research

North Carolina State University

Raleigh, NC

2015 – 2017

Master's in Industrial & Systems Engineering

Istanbul Sehir University

Istanbul, Turkey

2010 – 2013

B.E. Industrial & Manufacturing Engineering

NED University

Karachi, Pakistan

Honors & Awards

2017

NC State PhD Fellowship — Recognized with the NC State PhD fellowship award, a prestigious award granted to a select few pursuing a PhD, recognizing exceptional academic excellence and research potential.

NC, USA

Things I Build for Fun

Wisdom Bot (NLP) — answers questions with quotes from wise people. Try it here!

GAN Art — Neurostyling experiments. See the painting below! On a totally unrelated note, I’m having a cup of tea with my sister in Sedona, Arizona — nice change of scenery while I tinker with this stuff.

GAN art — Sedona painting

Music Generation — Currently learning to generate music via GAN. Coming soon!

Outdoors — Soccer, hiking & exploring beautiful places.

Research Publications

2016
Sen B., Kucukvar M., Onat, N.C., Haider, M.A. "Material Footprint of Alternative Fuel Vehicles: A Multi-Regional Input-Output Life Cycle Assessment." Journal of Energy and Environmental Sciences, 2016.
2013
"Design of Supply Chain at Amreli Steels Limited and the Study of the Supply Chain Operation Reference Model (SCOR)." NED University undergraduate final project.