Hafiz Hassan Mustafa-|| - || https://github.com/Hassanmustafa786 ||
https://www.linkedin.com/in/hafiz-hassan-mustafa-692b391b4/
Honors and Achievements
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Data Science Competition, Spectrum | 23, June, 2023
○ Runner-up of the Data Science Competition (Spectrum Event) held at the university.
Stable LM 3B 24-Hour, Lablab.ai | 10, November, 2023
○ 2nd Position in Stable LM 3B 24-Hour International Hackathon (lablab.ai). View Project.
Custom GPTs 48-hours Hackathon Summary, Lablab.ai | 23, November, 2023
○ Participated and successfully submitted the project in Custom GPTs 48-hours Hackathon
Summary Hackathon (lablab ai). View Project.
Advent of Code (AoC) | 01 – 25, December, 2024
○ Completed 25-day challenge with Gold Stars. View Stars.
M(IT)^2 Winter 2025 Contest | 19, January, 2025
○ Participated into MIT winter 2025 contest. View details.
Experience
● AI and Full Stack Developer (Ocean Source Technology Foundation)
(December, 2023 – Present)
North Carolina, USA – Remote (Part-time)
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Developed a voice cloning system that uses Eleven Labs for voice synthesis, combined with a
Flask-based backend. The goal was to translate video content by either cloning the original
voices or using AI-generated voices from Azure services. This process made it possible to
create seamless dubbing for different types of media, maintaining a natural and realistic sound. I
deployed the web application on an AWS EC2 instance to ensure it performs well and scales
easily. To make it accessible and secure, I set up a reverse proxy with NGINX, which allowed
the application to run on a custom domain with HTTPS for secure communication.
Built a Multilingual AI-powered application for speech-to-speech interactions. The system runs
on a Django backend with internationalization of multiple languages and uses LangGraph to
handle dynamic, conversational interactions via the OpenAI API. It processes user queries by
converting spoken language into text, generating a response, and turning it back into speech.
With Azure’s Text-to-Speech (TTS), Text-to-Text (LLM), and Speech-to-Text (STT) models, it
supports several languages, including English, Arabic, Spanish, Bengali, Urdu, and Persian,
making it flexible for use in multilingual settings. Like the voice cloning system, this project was
deployed on an AWS EC2 instance with NGINX handling the domain binding and HTTPS setup
for secure and smooth access.
● AI Python Developer (Tech Exons)
(September, 2024 – February, 2025)
Karachi, Pakistan – Onsite
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Designed a Proof of Concept (POC) mobile application on Android Studio using Java, allowing
users to capture hand images and send them to a Flask-based API for preprocessing. Used
Python OpenCV to extract fingerprint data and used additional libraries to analyze and process
the fingerprint mesh.
Trained a YOLO v8 model to detect fingertips on hand images, enabling automated finger
labeling based on their position. Integrated the model seamlessly with the app for enhanced
functionality.
Optimized MongoDB aggregation pipeline, reducing query execution time from 5 minutes to a
few seconds by improving query structure and indexing strategies, significantly enhancing data
retrieval performance.
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Implemented a feature that enables users to upload their identity card. The system then utilizes
image processing techniques to accurately extract and display relevant information, such as
name, date of birth, and ID number.
Developed a Flask API that integrates with Frappe Framework and ERP Next for lead capture
from the organization's website.
Creating responsive frontend interfaces with React JS, Bootstrap, Tailwind, HTML, CSS, and
JavaScript, jQuery.
Deploying scalable solutions on cloud platforms, including AWS and GCP.
● AI Engineer (CGDC – Habibi Group)
(September, 2023 – August, 2024)
Karachi, Pakistan – Onsite
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Developed Python scripts to automate repetitive tasks, resulting in a significant reduction in
manual workload.
Led the development of an E-Book and chatbot for an AI law consultant using Python, OpenAI,
LlamaIndex, LangChain, HTML, CSS, and JavaScript. This project involved integrating various
technologies to provide AI-driven legal consulting services.
Built multilingual chatbots, demonstrating proficiency in natural language understanding and
generation across multiple languages.
Designed and implemented an optical character recognition (OCR) system using Gemini and
GPT-Vision 4, showcasing expertise in computer vision and machine learning.
Developed the Autogen project based on user proxy and agent using Mistral LM 3B,
showcasing innovation and expertise in natural language processing and conversational AI.
Served as a backend developer in the development of bid and estimation software using PHP
and MySQL, contributing to the creation of scalable and efficient web applications.
Engineered an audio-based anomaly detection system to identify speaker diarization and
analyze fraudulent activity between clients and agents, demonstrating expertise in signal
processing and machine learning.
Languages
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English (IELTS: 6.0 Overall).
Urdu (Native).
Articles
• Authored 8 articles on Medium.com focusing on AI tools, exploring their applications, benefits, and
implementation strategies. View Articles.
Skills
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Programming Languages:
Python, R Programming, C, C++, PHP, Java, Latex, Node JS, Regex
Backend Frameworks:
Django, Flask, Fast API, Laravel
AI, Data Science & Machine Learning:
Groq, Tensorflow, PyTorch, Transformers, AutoGen, LangChain, LangGraph, LangSmith, NLTK,
CrewAI, Llama Index, Scikit-Learn, Tesseract OCR, Numpy, Keras, Matplotlib, Seaborn, OpenCV,
YOLO, Pandas
Databases:
MySQL, MongoDB, PostgreSQL, SQLite3, SQL
Frontend:
Bootstrap, Tailwind, HTML5, CSS, JavaScript, jQuery, React, TypeScript
Other Tools:
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Power BI, Tableau, ERP Next, VS Code, Microsoft Excel, Git, Postman, Anaconda, Docker, Github,
Jupyter Notebook
Cloud Platforms:
AWS (EC2, S3, Lambda), Google Cloud Platform (GCP)
Operating Systems:
Linux, Windows, macOS
Education
Bachelor of Engineering - DHA Suffa University (2019 - 2023)
Karachi, Pakistan
Relevant Courses:
• Calculus & Analytical Geometry.
• Introduction to Computing and Programming including Lab.
• Linear Algebra and Ordinary Differential Equations.
• Probability and Statistics.
• Project Management.
• Complex Variables and Transforms.
