Ahmed Saeed Umar

Ahmed Saeed Umar

AI-focused Computer Science Student & Aspiring AI/ML Engineer

SukkurBachelors
Available immediately Open to any modeSoftware & IT

AI-focused CS student specializing in Deep Learning & LLMs. Skilled in Python, PyTorch, and full-stack dev with hands-on RAG and CV project experience.

About

AI-focused Computer Science undergraduate with hands-on experience in deep learning, computer vision, LLM application development, and full-stack web development. Seeking an AI/ML or software engineering internship where I can apply skills in Python, PyTorch, and LLM/RAG tooling to build impactful, data-driven solutions.

Skills

PythonJavaJavaScriptC++SQLPyTorchTensorFlow Litescikit-learnLangChainReactSpring BootFlaskMongoDBMySQLGitOpenAI APIRAG

Languages: English

Education

BS Computer Science — Specialization in Artificial Intelligence

Sukkur IBA University

Aug 2023 – Present

Experience

Computer Science Student / AI Developer · Sukkur IBA University

Aug 2023 – Present

Pursuing a specialization in AI with a focus on Deep Learning and Machine Learning. Actively participating in speed programming competitions and hackathons, securing 2nd place in the SIBA TECH Speed Programming Competition.

Projects

Karachi Transport Planner — AI Search & Optimization

Implemented BFS, DFS, UCS, and A* over a Karachi graph; designed heuristics that reduced nodes expanded by 60%. Used Hill Climbing and Simulated Annealing for network optimization.

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RAG From Scratch — Retrieval-Augmented Generation over PDFs

Built a dependency-light RAG pipeline from first principles using custom overlapping chunking, 384-dim embeddings, and manual cosine-similarity retrieval with NumPy.

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Weather Image Classification — Vision Transformer

Fine-tuned a pretrained ViT-Base/16 on ~6,800 images, achieving 92.82% accuracy. Applied data augmentation and visualized transformer attention maps for interpretability.

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Web-Based Visual Recognition System

Built a full-stack face recognition web app using Flask REST API and MobileNetV2 via TFLite, reaching 89.7% accuracy on a custom image dataset.

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Decentralized Skill Exchange Platform

Engineered a peer-to-peer skill-trading app with Spring Boot RESTful APIs, Spring Security, and a React frontend backed by MongoDB.

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