Muhammad Yahya Younas
- |-| Github | LinkedIn | Portfolio
SUMMARY
Full Stack Developer with expertise in front-end and back-end development, experienced in cross-domain projects. Also
an Artificial Intelligence Engineer with expertise in machine learning, deep learning, computer vision, and natural
language processing. Experienced in developing and deploying AI solutions across diversified domains.
EDUCATION
Comsats University Islamabad
Masters of Science in Computer Science
Pakistan
Graduation Date: Jan 2025
Bachelor of Science in Software Engineering
Graduation Date: Jun 2022
WORK EXPERIENCE
Ennex
Netherlands [Remote]
Jun 2024 - Nov 2024
AI Engineer [Contractual Role, Full-time]
Developed and deployed advanced machine learning models, achieving a 25% increase in predictive accuracy and
driving significant business value.
Implemented state-of-the-art algorithms to optimize data processing pipelines, resulting in a 20% reduction in
processing time and enhanced system efficiency.
Collaborated cross-functionally to translate business requirements into innovative AI solutions, contributing to a 35%
improvement in operational efficiency and customer satisfaction.
DoWell Research
Singapore [Remote]
Dec 2023 - May 2024
React Developer [Freelance, Part-time]
Developed dynamic React Js interfaces, driving seamless user experiences and resulting in a 20% increase in user
engagement.
Implemented cutting-edge technologies to optimize performance and enhance user satisfaction, resulting in a 15%
reduction in bounce rates.
Collaborated cross-functionally to translate business requirements into elegant interfaces, contributing to product
innovation that led to a 30% improvement in customer retention.
Bluewinds
United Kingdom [Remote]
Sep 2022 - Feb 2023
Full Stack Developer [Internship, Full-time]
Managed backend API service development, ensuring scalability and efficiency, resulting in a 25% reduction in
response time and improved system reliability.
Executed comprehensive unit testing protocols, guaranteeing code quality and reliability, resulting in a 30% decrease
in bug incidents post-deployment.
Led frontend development initiatives using Vue.js, delivering intuitive and responsive user interfaces, resulting in a
20% increase in user satisfaction scores.
CERTIFICATIONS
Prompt Design in Vertex AI Skill Badge (Google Cloud) Jan 2025
Deep Learning Specialization (deeplearning.ai | Coursera) Feb 2024
Machine Learning Specialization (deeplearning.ai | Coursera) Sep 2023
Introduction to Artificial Intelligence (IBM | Coursera) Aug 2023
Python 3 (Udemy) Feb 2020
PROJECTS
News Research Tool
Finance
Full Stack AI Developer
Developed an interactive tool using Python and Streamlit for real-time querying of financial news articles via URL
input or text file upload.
Integrated LangChain, HuggingFace embeddings, and FAISS to enable semantic search and efficient information
retrieval from unstructured content.
Implemented LLM-based Q&A functionality with source tracking using GROQ API, enhancing research workflows
for analysts, investors, and researchers.
Transformers-based VQA System for Dental Diseases
MS - Thesis
AI Researcher
Created a specialized dental Visual Question Answering (VQA) dataset utilizing 500 dental x-rays from publicly
available sources, resulting in a significant resource for the medical research community.
Innovated an integrative framework combining advanced VQA techniques with medical diagnostic methods.
Developed the application of deep learning algorithms paired with natural language generation to accurately classify
dental conditions from x-rays.
AI-based Solar Panels Management
Solar Energy
Full Stack AI Developer
Developed using HTML5, Tailwind CSS, JavaScript, Flask, MongoDB.
A complete system that integrates Google Maps API and Solar APIs, handling address-based data retrieval, energy
consumption calculations, and interactive rooftop designs.
SKIN-GUARD AI
Healthcare
Full Stack AI Developer
Developed using Next.js, Tailwind CSS, TypeScript, Flask, and MySQL.
A secure web application for user-based skin condition analysis using AI, featuring user authentication with JWT,
protected routes, and planned integration of AI-powered skin diagnostics.
Recommendation System Using AI in Tourism
BS - FYP
Full Stack Developer
A web-based project blending React, Flask with Scikit-learn, Pandas, NLTK, and MongoDB.
Combines Machine Learning and Natural Language Processing to analyze hotel reviews, employing collaborative
filtering for intelligent recommendations.
Trained on real-world datasets, it offers personalized travel suggestions for travelers.
SKILLS & INTERESTS
Skills: Frontend: Tailwind CSS, JavaScript ES6, React Js, Redux
Backend: Node.js, Express.js, Python (Flask, Fast API)
Database: mySql, MongoDB
AI: Machine Learning, Deep Learning, Computer Vision, Natural Language Processing
Interests: LLMs, RAG, AI Agents
