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M. Tayyab Haider

M. Tayyab Haider

CS at LUMS | AI Researcher & Full-Stack Builder | Vocal Performer
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Overview

Computer Science student at LUMS and 100% Merit Scholar with a deep focus on Computer Vision and AI-driven applications. I've built everything from wildlife detection pipelines with 98% accuracy to full-stack AI note-taking tools. Beyond the technical, I'm a seasoned vocal performer and leadership figure in the LUMS Music Society, bringing a unique blend of creative energy and engineering precision to every project.
Lahore, Pakistan

Media Showcase

Experience

Oct 2025 – Present

FREELANCE

Vocal Performer

Independent
Performed at paid live events and private functions, managing client communication, scheduling, and on-site coordination.
•Performed at paid live events and private functions, managing client communication, scheduling, and on-site coordination.
•Built a personal performance portfolio through consistent audience engagement and referrals.

Jun 2025 – Present

WORK

Research Intern

LUMS Computer Vision & Graphics Lab
Animal Detection in Camera trap Images & Image Deraining
•Developed a deep learning pipeline for wildlife detection in camera trap images using YOLO and U-Net, reducing false positives caused by rain artifacts.
•Built and trained a U-Net model for rain detection and integrated it with a YOLO-based object detection pipeline, achieving 98% rain vs animal classification accuracy.
•Designed a synthetic dataset of 10,000+ rain-degraded images and implemented a CNN-based kernel estimator to improve image recovery from rain deterioration.

Key Achievements

→Achieved 98% rain vs animal classification accuracy.
YOLOU-NetCNNDeep LearningComputer Vision

Project Portfolio

PERSONAL

Present

RAG Wikipedia Chatbot

Built a retrieval-augmented generation chatbot that dynamically fetches and indexes Wikipedia articles using a ReAct agent, grounding every answer in retrieved facts. Implemented the full RAG pipeline: Wikipedia ingestion, document chunking, local HuggingFace embeddings (BAAI/bge-small-en-v1.5), vector indexing, and semantic similarity retrieval. Deployed session-isolated multi-user chat interface with model switching (LLaMA 3 / DeepSeek) via async Python and Chainlit's per-user session management.
PythonRAGLlamaIndexLangchainLLaMA 3DeepSeekChainlitHuggingFace
ACADEMIC

Present

Camouflaged Object Detection (Wildlife Monitoring)

Deep Learning Student

Fine-tuned MegaDetector (MDv6) on COD10k dataset to improve detection on camouflaged wildlife. Evaluated model performance using Intersection over Union (IoU) and qualitative bounding-box visualizations to validate detection improvements.
Deep LearningMegaDetector (MDv6)COD10k dataset
ACADEMIC

Present

LUMS Markaz – Campus E-Commerce Platform

HCI Student

Designed a campus-wide mobile e-commerce platform, addressing unmet student demand for secure on-campus transactions. Validated product decisions through cross-school user research, conducting 100+ surveys and 50+ interviews and app usability tests to refine UX around trust, discoverability, and usability.
Human Computer InteractionUX DesignUser Research
ACADEMIC

Present

Urdu News Article Classification

Machine Learning Student

Scraped and curated 1,000+ Urdu news articles from Geo Urdu, Jang, and Express News across five categories: business, entertainment, sports, science-technology, and world. Cleaned, standardized, and vectorized the text data, then trained logistic regression, multinomial Naïve Bayes, and neural network models for multiclass classification. Achieved a peak test accuracy of 97.4% with the neural network; multinomial Naïve Bayes reached 96.4%, and logistic regression reached 95% test accuracy.
Machine LearningLogistic RegressionMultinomial Naïve BayesNeural NetworksWeb Scraping
PERSONAL

Present

AI Based Note Taking Web Application

Full-stack Developer & Product Visionary

Developed an all-in-one AI note-taking platform to solve the friction of switching between PDFs and external LLMs. Built a seamless workflow where users get real-time AI assistance—including text-to-speech, summarization, and automated quiz generation—directly within their note-taking environment.
ReactPythonMongoDBVercelAPI

Education

2022 – Jun 2026

B.Sc. Computer Science

Lahore University of Management SciencesSpecialization in Computer Science

Relevant Coursework

Introduction to Artificial IntelligenceMachine LearningDeep LearningSoftware EngineeringHuman Computer InteractionDatabasesCoding for Careers

Impact & Recognition

Awards

The City School · 2020

Merit Scholarship (100%)

Awarded for A levels

Governance & Advisory

LUMS Music SocietySep 2023 – Jun 2025

Director & Event Head | Electronics Category

BOARD MEMBER

Led a 14-member design team and handled electronics-category operations for a 3-day LUMS music festival, coordinating participants, judges, volunteers, and logistics. Built a scalable design workflow and onboarding process that improved collaboration, enabled contributors of different skill levels to participate, and kept deliverables on schedule.

Led a 14-member design team and handled electronics-category operations for a 3-day LUMS music festival, coordinating participants, judges, volunteers, and logistics.

Built a scalable design workflow and onboarding process that improved collaboration, enabled contributors of different skill levels to participate, and kept deliverables on schedule.

Key Impact
→

Updated dates and added team leadership details for Music Society role.

Vision & Goals

Core Drivers

What are my motivations

Delivering products to clients at speed

Building and iterating in fast-paced environments

Skills & Interests

Python

Team Management

Leadership

Jupyter Notebook

PyTorch

React

C++

Figma

MongoDB

Microsoft Excel

Canva

Vercel

STATA

SQL

LlamaIndex

Langchain

Pandas

RAG

Areas of Expertise

Coordination and Logistics

Time Management

Problem Solving

Ownership

Communication

Let's Connect

I'd love to hear from you. Feel free to reach out.

These unlock once you finish onboarding and publish your profile.

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