Personal Information
Name: Muhammad Zeeshan Khan
Position: Software Engineer
Email: iamxeeshankhan@gmail.com
Phone: +923495139070
Summary
I am a dedicated and hardworking computer science graduate with a background in software
development,
MERN development, data analytics, and machine learning. I am proficient in programming languages
such as
Python, R, JavaScript, and C++, and I have experience with tools like PyTorch, TensorFlow, and
AWS. I am pas-
sionate about using technology to develop practical solutions and am always eager to learn and
tackle new
challenges. I work well both independently and as part of a team, maintaining a positive
attitude and a commit-
ment to delivering high-quality results. I am excited to advance my skills and contribute to
impactful projects.
Projects
Prompt-Driven Image Analysis
2025 / 10
- Developed an AI pipeline integrating GroundingDINO, SAM, Stable Diffusion, and
LLaVA for prompt-driven segmentation, object transformation, and interpretation.
WildNet: Cross-Ecosystem Animal Detection with YOLOv11
2025 / 09
- Developed WildNet, a YOLOv11-based cross-ecosystem animal detection system integrating
six terrestrial, aerial, and
aquatic datasets for multi-domain wildlife recognition.
- Automated dataset acquisition, preprocessing, and YOLO format conversion with
performance evaluation (mAP and related
metrics) in a unified pipeline.
Pediatric Wrist X-ray Abnormality Detection - Research Project
2025 / 09
- Implemented a YOLOv11-based computer vision pipeline in a Google Colab notebook to
detect fractures and other abnormalities in pediatric wrist X-rays
- Automated download of the GRAZPEDWRI-DX dataset and organized raw files for processing
- Pre-processed images and annotations, converting the dataset into YOLO format with
train/validation/test splits and class mappings
- Fine-tuned YOLOv11 to detect nine pediatric wrist X-ray findings: Bone anomaly,
Fracture, Foreign body, etc.
- Reusable script packages and a reproducible notebook for training, inference, and
evaluation on new images
BS(CS) Final Year Project - The University of Agriculture
2024 / 08
- Developed a Speech Recognition Application with a user-friendly GUI using Python,
Tkinter, and AssemblyAI
- The application transcribes speech, generates subtitles, and summarizes spoken content
- Implemented advanced speech recognition algorithms to ensure high accuracy
e-island - Personal Web Project
2023 / 06
- Created a full-stack website using vanilla JavaScript for the front-end with Pug and
Express.js with MongoDb and Mongoose in the backend and deployed it on Microsoft Azure
- Gained hands-on experience in cloud hosting, deployment, and scalability
Projects for Tools for accountants Co., UK
2024 / 12 - 2025/ 08
- Agent Authorization Tool: Built a tool that invites multiple clients to authorize
their accountant to manage taxes
on their behalf. I also Deployed the service on Google Cloud Platform
- Self Assessment Checker: Developed a tool to help UK accountants track their
clients’ Self Assessment tax status.
- Missed Deadline Tracker: Created an automated tool that identifies companies that
missed their tax payment deadlines. I Deployed it on a GCP VM, customized its domain,
and scheduled automated start/stop.
- VAT Checker: An automated tool that allows accountants to upload client VRNs via
CSV. It retrieves VAT tax data for each VRN directly
from HMRC systems. Streamlines compliance checks by saving time and reducing manual
lookup errors.
Experience
Dec 2024 — Aug 2025
- Sole developer responsible for end-to-end development of the
platform, covering back-end, front-end, and deployment
- Designed and deployed cloud-based architecture on Google Cloud
Platform and
Firebase to support scalable accounting services.
May 2023 — Aug 2025
- Served remotely as Teaching Assistant at the University of
Bradford,
supporting Database Management Systems and Web
Development modules, including virtual labs and workshops.
- Provided academic and technical guidance to undergraduate and
postgraduate students through group and one-on-one online
sessions, mentoring on programming fundamentals, system architecture, and full-stack
projects.
- Assisted in designing and improving course materials, preparing
tutorials, documentation, and practical resources to
align with academic and industry standards.
Trainings & Certifications
2020
- Completed DIT, gaining strong foundational skills in computer
systems, programming, system analysis, and technical
support.
2021
- Mastered Python and JavaScript, building a strong foundation for
advanced programming concepts and real-world
application development.
2023
- Acquired hands-on expertise in machine learning and data science,
enabling proficient analysis and predictive modeling.
2024
- Developed end-to-end proficiency in MERN stack, excelling in
building dynamic and scalable full-stack web applications.
Skills
Programming & Development: Python, R, Java, C++, Rust, JavaScript/TypeScript, LaTeX; MERN
Stack; React, Vue, Node.js; Web Scraping & Automation (Selenium, Beautiful Soup).
AI & Machine Learning: PyTorch, TensorFlow, Keras; Generative Models (Diffusion,
Transformers); Computer Vision, NLP,
Reinforcement Learning, Predictive Modeling, Digital Image Processing.
Data Science & Visualization: NumPy, Pandas, Seaborn, Plotly, Matplotlib; SQL/NoSQL
(PostgreSQL, MongoDB).
Cloud & DevOps: Microsoft Azure, Google Cloud Platform, Firebase; Docker, Kubernetes; CI/CD;
Git, GitHub.
