Faisal Hakimi

Quantitative Researcher & AI Engineer

Peshawar, Khyber Pakhtunkhwa, Pakistan

Contact Me GitHub LinkedIn

Quantitative researcher and AI engineer combining probabilistic modeling with production-grade software engineering. Current research focuses on Bayesian optimization for algorithmic trading, LLM reliability and hallucination detection, and constraint-satisfaction algorithms. Co-founded two NIC-incubated startups: a Bug Bounty Platform (secure microservices for ethical hackers) and Stumbnail (AI-powered design tool).

Beyond research & entrepreneurship, my technical expertise spans scalable backend architectures (Django, FastAPI, microservices, REST APIs), machine learning deployment, and modern DevOps workflows (Docker, AWS/GCP/Azure, CI/CD). Skilled at integrating ML models into production applications across PostgreSQL, MongoDB, and SQL environments.

Research Focus: Market microstructure and algorithmic trading systems, AI alignment and safety mechanisms, automated reasoning in production environments. Methodological expertise in Bayesian optimization, evolutionary algorithms, and deep learning theory with emphasis on bridging theoretical foundations to practical implementations.

Career Vision: Planning to pursue a Master's in Robotics and AI to deepen expertise from theoretical foundations to production-grade systems. Long-term goal is to found a technology company building profitable AI products that solve complex real-world problems while publishing influential research at the intersection of quantitative finance, AI safety, and autonomous systems.

Faisal Hakimi

Faisal Hakimi

Quantitative Researcher & AI Engineer

BS Computer Science

Institute of Management Sciences (IM|Sciences)

Faisalh5556@gmail.com

+92 310 9931126

Contact Me GitHub LinkedIn

BS Computer Science

Institute of Management Sciences (IM|Sciences)

(Researcher, Engineer, Founder)

Faisalh5556@gmail.com

+92 310 9931126

Professional Experience

Founder & Chief Architect

Bug Bounty & Penetration Testing Platform (NIC)
Sep 2024 – Oct 2025

Peshawar, Pakistan

  • Architected region's first crowdsourced security platform, selected for incubation at National Incubation Center
  • Engineered secure infrastructure using Django, PostgreSQL, Docker with 99.7% uptime
  • Designed authentication protocols connecting ethical hackers with enterprise organizations

Co-Founder

Stumbnail — AI-Powered Thumbnail Generator (NIC)
Sep 2024 – Present

Peshawar, Pakistan

  • Co-founded AI-powered thumbnail generation platform, selected for NIC incubation
  • Developed ML pipeline for automated thumbnail creation using computer vision and generative AI
  • Engineered end-to-end product architecture serving content creators and digital marketers

Research Assistant

Institute of Management Sciences (IM|Sciences)
Feb 2025 – Apr 2025

Peshawar, Pakistan

  • Conducted empirical analysis on LLM hallucination rates, quantifying reliability metrics for publication
  • Developed statistical frameworks to evaluate factual consistency in large language models
  • Co-authored findings for peer-reviewed publication on AI safety and reliability

Product Development Manager (Internship)

Bright Network — IEUK
Jun 2024 – Jul 2024

Remote, United Kingdom

  • Architected 6-month product roadmap for RunWize fitness platform, driving 20% user engagement increase
  • Synthesized insights from 3,900+ users to prioritize feature development and UX optimization
  • Led cross-functional collaboration using Agile methodology

Technology Department Intern

PTCL Group
Jun 2025 – Aug 2025

Islamabad, Pakistan

  • Contributed to telecom infrastructure projects with large-scale data handling
  • Optimized data processing workflows, improving reporting efficiency
  • Collaborated on system maintenance, troubleshooting, and performance monitoring

Selected Projects

Bayesian Optimization for Basket Trading

Quantitative asset allocation algorithm using Bayesian Optimization to maximize out-of-sample returns. Implements acquisition functions (Expected Improvement, Upper Confidence Bound) for efficient hyperparameter search. Python, NumPy, SciPy.

Provenance — UNESCO Hackathon Winner

Award-winning deepfake detection system for digital media verification. Multimodal analysis combining audio spectral features and visual artifact detection. JavaScript, NLP, Deep Learning.

WasteVision

Production-grade YOLOv5 waste classification achieving 0.801 mAP with 10ms inference latency. Deployed via Streamlit for real-time smart recycling. PyTorch, YOLOv5, Computer Vision.

Hybrid AI Chatbot

Two-tier conversational AI combining Rasa intents with GPT-3.5 fallback. 90% response accuracy, 40% reduction in resolution time. Rasa, GPT-3.5, FastAPI.

View all projects →

Technical Expertise

Languages & Frameworks

Python, JavaScript, SQL, NoSQL, Django, FastAPI, React, TypeScript

Machine Learning

TensorFlow, PyTorch, Scikit-learn, Hugging Face Transformers, YOLOv5/v8, NLP, GPT-3.5, Rasa

Data Engineering

NumPy, Pandas, SciPy, PostgreSQL, MongoDB, SQL Server, Oracle, ETL Pipelines

Cloud & DevOps

AWS, GCP, Azure, Docker, GitHub Actions, CI/CD, Microservices Architecture

Quantitative Methods

Bayesian Optimization, Genetic Algorithms, Stochastic Modeling, Statistical Inference

Visualization

Power BI, Matplotlib, Seaborn, Plotly, React Charts, Custom Dashboards