Open-source project on GitHub.
Taha S Awan
AI EngineerData Science EnthusiastFull Stack Developer
FAST NUCES graduate and gold medalist — Data Scientist and AI Engineer with hands-on experience building AI-powered full-stack platforms, machine learning systems, analytics solutions, and scalable backend applications.
About
I recently graduated from FAST NUCES Islamabad with a BS in Computer Science (Robotics specialization), earning a gold medal for academic excellence. I am passionate about Artificial Intelligence, Machine Learning, Data Science, Robotics, and Full Stack Development.
I enjoy building intelligent systems, AI-powered platforms, analytics solutions, and scalable software products that combine engineering with impactful real-world applications.
I focus on AI systems, intelligent automation, machine learning workflows, and production-ready software architectures — turning ideas into reliable, production-grade software.
Skills
Programming
- Python
- SQL
- JavaScript
- TypeScript
Data Science & Machine Learning
- Pandas
- NumPy
- Scikit-learn
- EDA
- Feature Engineering
- Supervised Learning
- Ensemble Methods
- Clustering
- Cross-Validation
- Class Imbalance (SMOTE)
Visualization
- Tableau
- Matplotlib
- Seaborn
Web Development
- Next.js
- React
- React Native
- Expo
- Node.js
- Express.js
- REST APIs
Databases
- PostgreSQL
- Prisma ORM
- NeonDB
Tools
- Git
- GitHub
- Jupyter Notebook
- Vercel
AI & LLMs
- OpenAI APIs
- Google Gemini
- RAG
- Prompt Engineering
- Generative AI
- Multi-Agent Orchestration
- YOLOv8
- Computer Vision
- JWT Authentication
- OAuth
Projects
View all projects →
Case study · 01
PrepXpert — AI-powered test preparation
End-to-end platform for MDCAT and university entry tests in Pakistan: secure accounts, structured question banks, and AI-assisted practice tuned for high-stakes admissions workflows.
- Next.js
- PostgreSQL
- Prisma
- JWT

Case study · 02
LegalConnect — AI legal consultation
Full-stack legal consultation experience with OpenAI-assisted intake, role-based dashboards for clients and counsel, and HD-ready session flows built on scalable REST APIs.
- Next.js
- PostgreSQL
- OpenAI APIs
- OAuth

Case study · 03
RE:WEAVE — circular material infrastructure platform site
Client project for a Sweden-based circular-textile startup: a multi-page Next.js marketing and investor platform that presents RE:WEAVE's five-pillar ecosystem — from autonomous recycling and material intelligence to Earth–Space infrastructure — with trust signals, market context, and financial outlook sections.
- Next.js
- React
- TypeScript
- Tailwind CSS

Case study · 04
JobGPT — AI job search & application copilot
Chat-first job search platform that finds roles across major boards, ranks every listing against your resume, evaluates fit with apply/skip guidance, tailors ATS-ready documents, and tracks your pipeline — without leaving the conversation.
- Next.js
- React
- TypeScript
- OpenAI APIs

Case study · 05
InsightFlow AI — autonomous report-to-action agent
Mobile-first executive copilot that turns messy business reports into one prioritized decision — multi-agent Gemini analysis, leadership alerts, consequence paths, and simulated Slack/email/CRM execution, deployed on web via Expo.
- Expo
- React Native
- TypeScript
- Google Gemini

Case study · 06
Australian Apparel Sales Analysis — Q4 2020
Exploratory data analysis of AAL (Australian Apparel Limited) Q4 2020 retail sales across seven states, four customer segments, and time-of-day patterns — turning 7,560 transaction records into an executive dashboard and strategic recommendations for Sales & Marketing.
- Python
- Pandas
- NumPy
- Matplotlib

Case study · 07
Employee turnover analytics — HR retention ML
End-to-end machine learning pipeline for Portobello Tech that predicts employee attrition, surfaces drivers of turnover, and maps each employee to actionable HR risk zones — optimized for high recall so at-risk staff are caught before they resign.
- Python
- pandas
- NumPy
- scikit-learn
- PreviewImage coming soon
Case study · 08
Precision farming robot
Autonomous field prototype for weed detection and targeted response, combining lightweight vision models with robotics constraints suitable for real agricultural environments.
- Python
- YOLOv8
- Computer Vision
- Robotics
Building in public
Live snapshot from @tahaSawan — recent repos and activity across open-source work.
Recently pushed
Job Fit Analyzer
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Job description
Fit report appears here
Tabbed breakdown — skills, projects, gaps, and talking points.
Education & Certifications
Education
FAST NUCES Islamabad
BS Computer Science (Specialization in Robotics) — Graduate
Certifications
Simplilearn
Machine Learning using Python
Jun 2026
Simplilearn
Applied Data Science with Python
Feb 2026
Simplilearn
Essentials of Generative AI, Prompt Engineering & ChatGPT
Mar 2026
Simplilearn
Advanced Statistics for Data Science
May 2026
Simplilearn
Programming Essentials
Oct 2025
Achievements
- Gold Medalist – IGCSE North Region
- Silver Medalist – A Levels
- Gold Medalist – BS Computer Science, FAST NUCES Islamabad
- Founder of an AI-focused startup currently in development phase
Contact
Contact information
Fill out the form or reach out directly. I typically respond within 24–48 hours.
Phone
+92 3079655594Location
FAST NUCES Islamabad, Pakistan
Open to opportunities
I am interested in internships, research collaboration, and project-based work across AI, machine learning, and full-stack engineering.