Open to consulting & advisory
Ali Razzaq
CTO @ CHEC · Data Scientist · AI Engineer · Security Researcher
I lead technology at CHEC, building data-driven infrastructure for fashion & retail. 9+ years hunting vulnerabilities on HackerOne and Bugcrowd — acknowledged by 100+ global companies.
Background
Who I am
I lead technology at CHEC as CTO, building a scalable, data-driven digital infrastructure for the fashion & retail ecosystem — from e-commerce to ERP — working directly with founders to bring everything in-house.
With 5+ years in web application security and a deep focus on data science, I turn complex problems into intelligent, secure systems. 9+ years of independent research on HackerOne and Bugcrowd, acknowledged by 100+ global companies.
Currently pursuing an MS in Data Science at UMT, researching predictive analytics, AI-driven control systems, and deep learning for real-world infrastructure problems.
100+
Companies acknowledged for responsible vulnerability disclosure
9+
Years active on HackerOne & Bugcrowd
CTO
Chief Technology Officer @ CHEC, Lahore
Expertise
Technical skills
Data Science & Analysis
Data Science
Data Analysis
Machine Learning
Deep Learning
Predictive Modeling
Statistical Analysis
EDA
Feature Engineering
Time Series Forecasting
Web Scraping
AI Frameworks & Libraries
Keras
PyTorch
TensorFlow
scikit-learn
LSTM / RNN
Reinforcement Learning
PPO
LLMs
LangChain
Flowise
Languages & Tools
Python
SQL
NumPy
Pandas
Matplotlib
Tableau
TypeScript
Git
Linux / Bash
Excel
Security
Penetration Testing
OWASP Top 10
Vulnerability Assessment
Bug Bounty
Web App Security
HackerOne
Bugcrowd
MS Research Thesis
Research
Deep Learning · Reinforcement Learning · Digital Twins
“A Predictive Digital Twin for EV Charging Stations Using Deep Learning Forecasting and Closed-Loop Intelligent Control”
A simulation-based digital twin of a full EV charging station, coupled with an LSTM deep learning model that forecasts hourly charging load using historical and synthetic/real charging data. On top of this, a closed-loop control layer is implemented with rule-based logic and a PPO reinforcement learning agent to adjust charging power or defer sessions — demonstrating that AI-driven control significantly reduces overload risk compared to baseline strategies.
Digital Twin
Full simulation of EV charging station model with historical and synthetic load data
LSTM Forecasting
Deep learning model forecasting hourly charging load; feeds real-time predictions to the control layer
PPO RL Control
Closed-loop PPO agent adjusts charging power & defers sessions to minimize overload risk
Career
Experience
Chief Technology Officer
Oct 2025 — Present
CHEC
Lahore, Pakistan
Leading CHEC's overall technology vision for the fashion & retail ecosystem. Bringing all technology in-house — e-commerce, ERP, and internal tooling — and defining the data & AI roadmap.
AI Engineer
Feb 2025 — Sep 2025
Stealth AI Startup
Chicago, IL (Remote)
Built AI features and data pipelines for an early-stage startup in stealth, prototype to production. Cross-timezone delivery across data ingestion, model integration, and product surfaces.
Data Science Intern
Oct 2024 — Feb 2025
British Airways
Remote
Replicated the BA Data Science team's daily work — built a web-scraping pipeline for customer reviews and trained predictive models on sentiment data.
Security Researcher
2017 — Present
HackerOne & Bugcrowd
Remote
9+ years of independent bug bounty research. OWASP Top 10, business-logic flaws, and responsible disclosure. Acknowledged by 100+ organisations including Google, Microsoft, Nokia, Sony, and Dropbox.
Work
Selected projects
Leadership
CHEC — In-house Tech Platform
Unified digital environment for CHEC's fashion & retail brand — e-commerce, ERP, and internal tooling on a single scalable data layer.
- End-to-end platform ownership
- Unified data layer across brand
- Scalable cloud architecture
Data Science
British Airways — Customer Review Insights
Web-scraping pipeline for customer reviews + predictive models simulating the BA Data Science team's daily workflow.
- Automated review ingestion
- Sentiment-based segmentation
- Reproducible notebooks
Machine Learning
Breast Cancer Detection
ML pipeline classifying tumors as benign or malignant using the Wisconsin Diagnostic Dataset. Logistic Regression, SVM, Random Forest, KNN with full EDA.
AI Engineering
AI Security Agent
Automated security research agent applying AI-driven analysis to security workflows. Combines vulnerability detection with intelligent task orchestration.
Data Analysis
Weather Data Analysis
EDA of weather datasets covering pattern identification, statistical analysis, and visualization of climate trends using Jupyter Notebook.
Security
Bug Bounty Research — 9 Years
9 years on HackerOne and Bugcrowd. OWASP Top 10, business-logic flaws, responsible disclosure. 100+ organisations acknowledged.
Hall of fame
Industry recognition
Google
Security acknowledgement
Microsoft
Security acknowledgement
Nokia
Security acknowledgement
Sony
Security acknowledgement
Dropbox
Security acknowledgement
HackerOne
Active researcher
Bugcrowd
Active · 2017–
100+
Total acknowledgements
100+
Responsible disclosure at scale.
Over a hundred technology companies have formally acknowledged Ali's vulnerability research — from Google and Microsoft to sector leaders across telecom, media, and enterprise software.
Over a hundred technology companies have formally acknowledged Ali's vulnerability research — from Google and Microsoft to sector leaders across telecom, media, and enterprise software.
Academic
Education
MS, Data Science
University of Management and Technology (UMT)
Sep 2024 — Sep 2026 · Lahore, PK
Research focus on predictive analytics, deep learning, and AI-driven control systems. Current thesis: Predictive Digital Twin for EV Charging Stations.
Bachelor's, Mathematics & Computer Science
Government College University, Faisalabad (GCUF)
2013 — 2017 · Faisalabad, PK
Dual focus on mathematics and computer science. Foundation in algorithms, linear algebra, discrete math, and early web application security.
Certifications
Digital Literacy — v2
Intermediate SQL
Introduction to SQL
Joining Data in SQL
Getting Started with Pandas
Get in touch
Let's work together
Open to security assessments, data science consulting, AI engineering, and technology leadership conversations. I reply within 24 hours.