AW.Abdul Wahid AI/ML Developer

Curriculum vitae

Experience, skills,
and selected work.

A readable, print-ready version of my current profile. Content is maintained alongside the portfolio so it can be reviewed and updated together.

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Abdul Wahid

AI / ML Developer · BS Artificial Intelligence Student

Attock, Punjab, Pakistan

contact@abdulwahid.me
linkedin.com/in/abdu1wahid
github.com/abduIwahid
abdulwahid.me

Profile

Artificial Intelligence undergraduate focused on practical machine learning, model evaluation, explainability, and building useful software around data. Hands-on experience includes healthcare-oriented ML workflows, classification, data analysis, and web applications that connect technical work to a usable interface.

Experience

Machine Learning Intern · Ezitech Institute (Eziline Software House)Jul – Sep 2026

Islamabad, Pakistan

  • Worked on MediSight AI, an explainable healthcare risk-modelling workflow across seven de-identified dataset domains.
  • Used LightGBM, scikit-learn, SHAP, MLflow, and FastAPI for model benchmarking, experiment tracking, and explanation workflows.
  • Contributed to MLOps-oriented drift monitoring/retraining flows and a web application built with Next.js, TypeScript, and Supabase.
  • Project notes report a LightGBM AUC–ROC of 0.8307; interpretation depends on the task-specific evaluation setup.

Selected projects

MediSight AIMachine Learning

An explainable healthcare risk-modelling workflow built around model evaluation, experiment tracking, and a clinician-facing interface.

Source repository · Live demo

Customer Churn PredictionMachine Learning

A supervised-learning study comparing classification approaches for identifying customers who may leave a service.

Source repository

PredictlyApplied AI

A real-estate valuation dashboard that combines market context with transparent, local image-quality signals.

Source repository · Live demo

NearSendWeb Engineering

Private nearby file sharing designed to move files between devices without accounts, cloud uploads, or share links.

Source repository · Live demo

Study HubWeb Engineering

A course-resource web app for organizing lecture notes, PDFs, CDFs, and lab manuals with search and study helpers.

Source repository link not confirmed

Education

BS Artificial Intelligence · COMSATS University Islamabad, Attock CampusAug 2024 – 2028

CGPA: 3.46 / 4.00

Intermediate in Computer Science · Fazaia Degree College ARF Kamra2022 – 2024

827 / 1100 (75.2%)

Technical skills

Languages: Python, Java, C++, JavaScript, HTML, CSS

ML & data: scikit-learn, NumPy, Pandas, Matplotlib, LightGBM, SHAP, MLflow

Web & APIs: FastAPI, Flask, Next.js, React, Node.js, REST APIs

Data & tools: MySQL, PostgreSQL, Supabase, Git, GitHub, Vercel, Docker

Core concepts: classification, model evaluation, explainability, data structures, OOP, database design

Certificates & activities

Google AI Essentials Specialization — Google Career Certificates / Coursera (May 2026)

AI & Machine Learning Developer — Programming Hub (Feb–Apr 2026)

AI/ML Team Member — GDG on Campus, COMSATS Attock (2026–2027)

Participant — Mind to Machine 2026 AI Hackathon, COMSATS Wah (May 2026)

This CV view is generated from portfolio content. For formal applications, review dates and details against the latest original CV before submission. Contact me