Abdullah.
Kanvis
Abdullah Sajid

Abdullah Sajid

Full-stack Developer & Data Scientist | Bridging HCI, ML, and Product Design
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Overview

LUMS Computer Science student with a unique blend of full-stack development, data science, and brand design. From engineering credit scoring models at Techlogix to building end-to-end MVPs for startups and instructing government officers in ML, I specialize in creating data-driven, human-centered digital experiences. Currently focused on the intersection of HCI and AI-assisted development.
Lahore, Punjab, Pakistan

Experience

2025

WORK

Freelance Web/App Developer

Self-Employed
Pakistan, Australia, Canada
Built client websites and MVPs for startups and small businesses, owning projects end to end from product scoping and UI/UX design through frontend development, deployment, and iteration. Delivered marketing websites, e-commerce storefronts, product catalogs, checkout flows, and user-facing MVP workflows for construction, home services, bakery/retail, and technology clients. Worked directly with founders and business owners to translate rough requirements into launched products.
Built client websites and MVPs for startups and small businesses, owning projects end to end from product scoping and UI/UX design through frontend development, deployment, and iteration.
Delivered marketing websites, e-commerce storefronts, product catalogs, checkout flows, and user-facing MVP workflows for construction, home services, bakery/retail, and technology clients.
Worked directly with founders and business owners to translate rough requirements into launched products.
Conducted UI/UX audits and provided constructive design criticism to help founders refine their product vision and component architecture.

Key Achievements

Increased client acquisition by 10-15% for 'TheOvenEquation' (bakery) by integrating the website with Instagram marketing.
Developed a professional portfolio for 'Tameer Construction' (subsidiary of IZHAR Construction) to establish digital presence and brand authority.
UI/UX DesignFrontend DevelopmentE-commerceProduct Scoping

Oct 2025 – 2026

WORK

Course Assistant

LUMS X Federal Board of Revenue
Lahore, Punjab, Pakistan
Instructed FBR (CSS/Government) officers under a LUMS-FBR MoU using Excel, Python, and ML tools for data analysis and visualization. Designed and graded quizzes, assignments, and tutorials across data science topics.
Instructed FBR (CSS/Government) officers under a LUMS-FBR MoU using Excel, Python, and ML tools for data analysis and visualization.
Designed and graded quizzes, assignments, and tutorials across data science topics.

Key Achievements

Mentored FBR (CSS/Government) officers to resolve complex Python and ML misconceptions, facilitating critical 'aha' moments in data science applications for government workflows.
ExcelPythonML toolsData AnalysisData Visualization

Jun 2025 – Aug 2025

WORK

Data Science Intern at Techlogix

Techlogix
Lahore, Punjab, Pakistan
Worked with large-scale financial datasets to build predictive models for credit scoring and fraud detection.
Engineered credit scoring and classification models using Scikit-Learn and Pandas.
Utilized diverse financial datasets including Income Survey Finance Analysis and Credit Card Transactions (Kaggle) to simulate real-world banking scenarios.
Optimized data retrieval via SQL queries and performed exploratory data analysis with Matplotlib and Seaborn.
Scikit-LearnPandasSQLMatplotlibSeabornMachine Learning

Sep 2024 – Feb 2025

WORK

Design Coordinator

Techstars Startup Weekend Lahore
Lahore, Punjab, Pakistan
Led all design and brand work for Lahore’s flagship Techstars Startup Weekend, including the event logo, marketing collateral, social media assets, pitch templates, and participant-facing documents.
Led all design and brand work for Lahore’s flagship Techstars Startup Weekend, including the event logo, marketing collateral, social media assets, pitch templates, and participant-facing documents.

Key Achievements

Coordinated design and branding support for 25+ startup teams, ensuring brand consistency across all participant-facing materials.
Produced 100+ visual assets, including the event logo, marketing collateral, and social media content, to drive event visibility and engagement.
Supported 25+ startup teams with design and branding.
Created 100+ visual assets for event marketing and operations.
Brand DesignLogo DesignMarketing Collateral

Nov 2023 – Feb 2025

WORK

Graphic Designer

Gemini Education
Lahore, Punjab, Pakistan
Directed visual strategy for the 2024 Admissions Cycle; produced 100+ assets for Instagram (@gemini.pk). Achieved 150% follower growth (2k to 5k+) by standardizing brand consistency across social media campaigns.
Directed visual strategy for the 2024 Admissions Cycle; produced 100+ assets for Instagram (@gemini.pk).
Achieved 150% follower growth (2k to 5k+) by standardizing brand consistency across social media campaigns.

Key Achievements

Achieved 150% follower growth (2k to 5k+) by standardizing brand consistency across social media campaigns.
InstagramBrand ConsistencySocial Media Strategy

Project Portfolio

ACADEMIC

Present

R-SRD: Robust Skeleton Relation Distillation

Lead Researcher

Proposed a 3-phase ViT distillation pipeline mining a sparse cross-domain consensus skeleton of token-token attention edges using a bilinear router probe and MMD-weighted agreement scoring for DG on PACS. Diagnosed catastrophic Sketch failure (49.1%) as a coverage deficiency; increasing skeleton density κ=0.2→0.3 recovered +13.3% accuracy, achieving the highest multi-seed mean of 84.0%.
PyTorchViTDomain Generalization
PERSONAL

Present

PerCVO: Text-to-Video Explainer Pipeline

Full Stack Developer

Created an automated pipeline that transforms text or PDF prompts into animated explainer videos. Integrated Claude API for content extraction and context mapping, using the Manim Python library for animations and AI-powered audio generation.
Claude APIManimPythonAI Audio
PERSONAL

Present

Carcinoembryonic Antigens Segmentation and Quantitative Analysis from Fluorescent Images using Principal Component Analysis and Adaptive K-means Clustering

Research Lead / Lead Developer

Developed a MATLAB pipeline using Superpixel analysis (SLIC), PCA, and Adaptive K-Means to detect and segment Carcinoembryonic Antigens from fluorescent scans. Achieved precise quantitative detection across a concentration range of 0-100ng/ml, with a T/C ratio of 1.0814 for high-accuracy biomarker identification. Published at IEEE ICEPECC 2023.
MATLABPCAK-Means ClusteringSLIC SuperpixelsImage Processing
PERSONAL

Present

Seekho Sikhao: Guard-railing AI for Early Education

Lead Developer / HCI Researcher

Developed an AI learning aid for children in low socio-economic status schools to prevent 'copy-paste' learning. Built a RAG pipeline using GPT-4o mini and Urdu LLMs, grounded in institutional policies and course content to ensure the AI provided guidance rather than direct answers.
OpenAI GPT-4o miniUrdu LLMsRAGPython

Education

Aug 2023 – Aug 2027

Bachelor of Science

Lahore University of Management SciencesSpecialization in Computer Science

Aug 2018 – Jun 2023

Ordinary & Advanced Levels

Lahore Grammar School

Impact & Recognition

Patents & Publications

2023 · PATENT

Carcinoembryonic Antigens Segmentation and Quantitative Analysis from Fluorescent Images using Principal Component Analysis and Adaptive K-means Clustering

Published at IEEE ICEPECC 2023

Team:Muhammad Aqeel Aslam · Shahzadi Mahnoor · Muhammad Asif Munir · Saman Cheema · Khawaja Humble Hassan

Skills & Interests

HTML/CSS

Python

Canva

VS Code

Git

Figma

OpenAI API

C/C++

JavaScript/TypeScript

React

Next.js

PyTorch

Scikit-Learn

Pandas

NumPy

Jupyter

Vercel

Adobe Creative Suite

Claude API

LLMs

Node.js

MATLAB

FastAPI

Matplotlib

Seaborn

Transformers

Flask

Supabase

SQL

React Native

Google Cloud Platform

R

Docker

Areas of Expertise

Social Media Strategy

Brand Identity

Let's Connect

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