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Hamza Khalid

FAST · 2023
Email
hmzakhali@outlook.com
Phone
+923185152870
LinkedIn
https://www.linkedin.com/in/hmzakhali/
GitHub

Academic

Program
Bachelor of Science (Computer Science)
CGPA
Year
2023
Education
FAST - National University of Computer and Emerging Sciences, Islamabad
Address
KRL Road, Rawalpindi
DOB

Career

Current role
Target role
Skills
Leadership, Problem Solving, Quick Learning, Interpersonal Skills, Communication, Flask, Django, React/Next.Js, Node.Js, Flutter, Python, Scikit-learn, Machine Learning, Tensorflow/PyTorch, Deep Learning, Data Visualization, TypeScript/JavaScript, Rust, HTML/CSS, MongoDB, Firebase, Oracle/SQL, Docker, Prisma, Next.js, FASTApi, OpenCV, React, NodeJS, Express, MongoDB, Tensorflow, Scikit-learn, Deep Learning, Neural Networks, Python, PyTorch, HuggingFace, C++, Raylib, Multithreading, OS, Blockchain, IPFS, Flower, Ethereum, Solana

Verbatim text

The exact text the LLM saw on the page (or the booklet text from the old import). This is what powers semantic search.
Hamza Khalid
+923185152870, hmzakhali@outlook.com
KRL Road, Rawalpindi.
LinkedIn: https://www.linkedin.com/in/hmzakhali/

Education
FAST - National University of Computer and Emerging Sciences, Islamabad.
Bachelor of Science (Computer Science)	2023
Major: Data Mining, Deep Learning, Artificial Intelligence, Information Security, MLOps, Digital Image Processing, Natural Language Processing, Operating Systems and Software Design Analysis & Engineering.
Punjab Group Of College - D9 Campus, Rawalpindi Punjab	2019
ICS (Physics, Computer Science, Mathematics)
Comprehensive Science Institute, Rawalpindi Punjab	2017
Matriculation (Physics, Chemistry, Biology)

Projects
Final Project: Privacy Preserving Federated Learning using Blockchain & IPFS [Flower, Next.js, Ethereum]
MedGnosis is a cutting-edge, decentralized platform that provides secure and privacy-preserving collaborative medical machine learning using the power of federated learning.
Semester Projects:
Bubble Sheet Checker [Next.js - FASTApi - OpenCV - Python] :
A platform that uses image recognition to check and grade exams and automatically uploads the results.
Codur [React, NodeJS, Express, MongoDB]:
A platform for developers and authors to write and share blog posts.
TORCS AI [Tensorflow - Scikit-learn - Deep Learning - Neural Networks - Python] :
A trained AI model for a racing game called TORCS that learned to drive and race along 20 different maps.
Code GPT [PyTorch, HuggingFace]:
Fine-tuning GPT2 to generate code snippets and improve code completion.
Ludo [C++, Raylib, Multithreading, OS]:
A replica of the traditional Ludo game, made in Raylib C++ using multithreading.

Work Experience
Full-Stack Engineer, Antematter, Remote (Contract)	Jul 2022 - Oct 2022
Creating interactive, decentralized applications on the Solana blockchain network.
Full Stack Engineer, iBot, Remote	Mar 2021 - Apr2022
Creating Full Stack web applications utilizing both traditional Web2 decentralized Web3 technologies.

Skills & Tools
Professional Skills	Leadership, Problem Solving, Quick Learning, Interpersonal Skills, Communication.
Technical Skills	Flask Django React/Next.Js Node.Js Flutter Python/Scikit-learn Machine Learning
Tensorflow/PyTorch Deep Learning Data Visualization TypeScript/JavaScript Rust HTML/CSS
MongoDB Firebase Oracle/SQL Docker Prisma

Achievements
Multiple Dean’s List Academic Achievement Award.
IntraFast Web Dev Winner (2023)
NaSCon Web Dev Runner Up (2023)
PGC Inter Campus Competitive Programming Winner (2019)
PGC Inter Campus Science Fair Winner (2018)

Trainings / Certification
Qwiklabs - Intro to ML: Image Processing
Qwiklabs - Intro to ML: Language Processing

Activities
Backend Developer for NaSCon’19

AI enrichment

Hamza Khalid is a 2023 Computer Science graduate with experience as a Full-Stack Engineer and a focus on AI, machine learning, and blockchain technologies. He has worked on decentralized applications and various academic projects involving deep learning and web development.
Skills (AI)
["React", "Next.js", "Node.js", "Python", "Flask", "Django", "TensorFlow", "PyTorch", "Machine Learning", "Deep Learning", "Blockchain", "Solana", "Ethereum", "Flutter", "Rust", "Docker", "MongoDB", "SQL", "TypeScript", "JavaScript"]
Status: ai_done
Provenance
Source file: FAST - School of Computing -Graduate Directory-2023.pdf
From job #14 page 87
Created: 1778112744