Musharaf Shah
@musharafshah
Final-year Software Engineering student specializing in AI and ML.
What I'm looking for
I am a final-year Software Engineering student with a strong focus on AI and machine learning. My real-world project experience includes developing AI-driven automation systems in healthcare, security, and HR tech. I have a passion for building scalable systems and have utilized tools like YOLOv8, SBERT, and Streamlit to create impactful solutions.
Currently, I am working on my final year project, which involves using ultrasound images to detect kidney stones and breast cancer. This project not only enhances my technical skills but also contributes to medical research. I have participated in hackathons, where I presented innovative solutions confidently, demonstrating my ability to work under pressure and collaborate effectively.
Experience
Work history, roles, and key accomplishments
Final Year Project Researcher
Capital University Of Science And Technology
Sep 2022 - Present (2 years 10 months)
Currently in my last year and working on my Final Year Project (FYP). My FYP is in medical research, focusing on using ultrasound images to detect kidney stones and breast cancer by training ML models.
Disease Detection Using Image Classification
Self Employed
Designed a lightweight image classification model to detect diseases like dengue and tuberculosis based on visual symptoms in images during a hackathon. Applied CNN-based image classifiers to achieve promising accuracy despite dataset constraints.
Voice Cloning & Translation
Self Employed
Built an offline pipeline that clones a Hungarian speaker’s voice to generate English audio using Whisper + TTS. Synchronized translated transcript with the cloned voice output for natural audio generation.
Real-Time Vehicle Number Plate Detection System
Self Employed
Developed a real-time license plate detection system using YOLOv8 and Python. Collected and labeled hundreds of vehicle images using LabelImg to annotate number plates, achieving successful real-time performance.
SBERT-Powered CV Matching System
Self Employed
Developed an NLP system that matches candidate CVs to job descriptions using SBERT embeddings. Added scoring, ranking, and relevance highlighting features, built with Streamlit and optimized for HR and ATS systems.
Education
Degrees, certifications, and relevant coursework
Capital University Of Science And Technology
BS Software Engineering, Software Engineering
Activities and societies: Participated in a recent Hackathon held at Capital University of Science and Technology. Presented our solution in a very confident manner.
Currently in my last year and working on my Final Year Project (FYP). The FYP is in medical research, focusing on ultrasound images to detect kidney stones and breast cancer by training ML models using ultrasound scans. We are also planning on creating our own research paper.
Availability
Location
Authorized to work in
Job categories
Skills
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