Muhammad Taha Mukhtar
NUST
· 2025
Email
tahamukhtar20@gmail.com
Phone
923310148548
LinkedIn
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GitHub
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Academic
Program
BSCS
CGPA
2.99
Year
2025
Education
SEECS
Address
Gujranwala , Pakistan
DOB
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Career
Current role
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Target role
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Skills
Digital marketing, Typescript, Javascript (es6), Mongodb (database), Docker, Mern stack, Aws, Tensorflow/pytorch, Strategic communications
Interests / quote
A dedicated Computer Science student with a strong passion for math, problem-solving, and programming who has been involved with renowned international open-source communities and research groups, collaborating on innovative projects, and delivering impactful solutions for societal problems. Proficient in Full-stack development and deep learning, I use technology to address difficult problems in various domains of science.
Verbatim text
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Muhammad Taha Mukhtar Cell: 923310148548 Email: tahamukhtar20@gmail.com Address: CB-679, KASHMIR COLONY, RAHWALI, GUJRANWALA CANTT. Gujranwala , Pakistan Digital marketing Typescript Javascript (es6) Mongodb (database) Docker Mern stack Aws Tensorflow/pytorch Strategic communications To be furnished upon request. Professional Profile A dedicated Computer Science student with a strong passion for math, problem-solving, and programming who has been involved with renowned international open-source communities and research groups, collaborating on innovative projects, and delivering impactful solutions for societal problems. Proficient in Full-stack development and deep learning, I use technology to address difficult problems in various domains of science. Education BS in Computer Science School of Electrical Engineering and Computer Science , 2.99 Matric / O levels , (2019) Intermediate / A levels , (2021) Internship Experience Google Summer of Code -- CVAT.ai ( 01-May-2024 - 27-Aug-2024 ) - Improved the CVAT platform by adding a user-configurable shortcut system, enhancing annotation efficiency. - Tested new shortcut features with Cypress, achieving 100% test coverage. - Contributed to integrating Meta’s SAM into CVAT.ai’s codebase beyond the program’s scope. Deutsches Forschungszentrum für Künstliche Intelligenz ( 03-Jun- 2024 - 01-Aug-2024 ) - Engineered a semi-supervised model for detecting informal settlements using remote sensing. - Applied techniques like FixMatch, domain adaptation between cies and pseudo-label refinement via SAM2. - Leveraged Germany's largest deep learning infrastructure with H100/A100 GPUs for advanced AI research. Projects Slum-i, Research Project - Worked on a €80,000 DAAD-funded project in collaboration with RPTU & DFKI, where I interned in Germany. - Aligned with 3 UN SDGs, focusing on improving living conditions for slum dwellers in Pakistan. - Upcoming publication in a top remote sensing journal, using SSL for segmenting informal settlements. - lang-source, Open Source Project - Created a CLI utility using the Gemini API to automate localisation workflows, supporting 12 languages and reducing manual effort in creating JSON/YAML language files. - Published as an npm package with 500+ downloads and has 5 Stars on GitHub.
AI enrichment
Muhammad Taha Mukhtar is a Computer Science graduate with experience in full-stack development and deep learning, highlighted by internships at Google Summer of Code and DFKI. He has contributed to open-source projects and researched AI applications for social good, demonstrating proficiency in TypeScript, Python, and cloud technologies.
Skills (AI)
["TypeScript", "JavaScript (ES6)", "MongoDB", "Docker", "MERN Stack", "AWS", "TensorFlow", "PyTorch", "Digital Marketing", "Strategic Communications", "Cypress", "Git", "NLP", "Computer Vision"]
Status: ai_done