← Back to cohort

Muhammad Talal Habshi

FAST · 2025
Email
talalhabshi03@gmail.com
Phone
+923325902556
LinkedIn
https://www.linkedin.com/in/muhammad-talal-habshi-7b380328a/
GitHub

Academic

Program
CGPA
Year
2025
Education
Address
DOB

Verbatim text

The exact text the LLM saw on the page (or the booklet text from the old import). This is what powers semantic search.
Muhammad Talal Habshi
+923325902556, talalhabshi03@gmail.com
Dhal, Islamabad.
Linkedln: https://www.linkedin.com/in/muhammad-talal-habshi-7b380328a/
Bachelor of Science (Computer Science)
Major:
rtificial Intelligence, Machine Learning, DevOps, MLOps, Computer Vision, Full Stack
Development, Cloud Computing, Data Engineering,
Data Analytics,
Digital Marketing
Benchmark School System, Rawalpindi Punjab
-Levels (Physics, Chemistry, Mathematics)
aint Mary's Academy, Rawalpindi Punjab
Matriculation (Physics, Chemistry, Computer Science)
rojects
inal Pro·ect: Khiladi App - Al-Powered Cricket Coaching and Performance Analysis Platform [Kotlin
Frontend & Backend), Open-Source Machine Learning Models]
(Won first prize at innovate 4.0)
n Al-driven cricket coaching platform that analyzes player performance, detects errors, and provides corrective
eedback using machine learning models, while also enabling funding opportunities for players.
emester Pro ·ects:
n Al-powered agriculture platform for crop optimization, soil monitoring, and farmer funding.
tudent Management System [C#, ASP.NET, My SQL]:
Designed a Student Management System in C# language and developed all its modules.
PlayPal [React, Node.js, Express, Mongodb]:
platform enabling sports teams to connect, compete, and collaborate through interactive challenges and rewards.
Rush Hour [C++) :
high-speed C++ game or simulation centered around traffic management or time-based challenges.
ladoc [C++]:
healthcare platform for doctor appointments, consultations, and medical bookings.
utomated Time Table [Python]:
tool for generating and managing schedules automatically, optimizing time allocation for institutions.
oftware engineering intern, Sybrid Private Limited, Islamabad.
June 2024 - Sep 2024
Developed backend features for real-world projects as an intern
kills & Tools
Professional Skills
Leadership, Problem-solving, Communication, Adaptability, Collaboration, Critical thinking
echnical Skills
C++, Python, JavaScript, Node.js, Express, MongoDB, AWS, Kotlin, React, TensorFlow, Docker,
Kubernetes, Cl/CD, RESTful AP ls, Machine Learning, Pose Detection, Video Processing, Data
nalytics, Socket Programming, Cloud Computing, Git, Agile Development, Ul/UX Prototyping.
chievements
Received a full-tuition scholarship for A-Levels.
on first prize and a $1000 cash award for presenting the final year project, Khiladi, at Hackathon Innovate 4.0.
Trainings/ Certification
WS Academy Cloud Foundations, AWS Academy
WS Academy Cloud Web Application Builder,
WS Academy Cloud Data Pipeline, AWS Academy
ctivities
Campus Ambassador for Tapmad.
Head of Marketing at MARKMUN.
nterests
ports, Stand-up comedy, Travelling
FAST NUCES ISLAMABAD CAMPUS
Muhammad Talha Javed
+92 3182100012, m.talha67890@gmail.
F-10, Islamabad.
Linkedln: www.linkedin.com/in/muhammad-talha-javed/
uter Science
arge Language Model, Deep Learning, Computer Vision, Natural Language Processing, Machine
ivisional Public School
atriculation (Physics, Chemistry, Biology)
rojects
inal Project: DiagnoVision - Al-Powered Skin Disease Detection & Recommendation [Python, Deep Learning, NLP,
omputer Vision]
chatbot-driven system for Acne, Psoriasis, and Eczema diagnosis using image and text inputs. Users can detect
iseases from images and receive symptom-based recommendations. Integrated Llama-3.2 for NLP-based advice, a
ision model for detection and additional modules for weather-based skincare ti sand nearb dermatolo ist search.
emester Pro ·ects:
Code Generation from Symbolic Mathematical Expressions (Python, NLP, Deep Learning)
•
Fine-tuned a TS model to convert symbolic math expressions into executable Python code.
•
Achieved ~so% accuracy in a Kaggle competition on code generation.
Hybrid ResNet-UNet-ESPCN for Image Super-Resolution (Python, Deep Learning, Computer Vision)
•
Designed a hybrid deep learning model integrating ResNet, U-Net, and ESPCN architectures.
•
Evaluated model performance using PSNR and SSIM metrics on real-world datasets.
Environmental Monitoring & Pollution Prediction (Python, Machine Learning, MLOps)
•
Developed a system to monitor real-time environmental data and predict air quality using ARIMA and LSTMs.
•
Integrated APls for data collection and deployed a real-time prediction model using Flask.
Automated Glaucoma Detection (Python, TensorFlow, Medical Imaging)
•
Developed a deep learning model using U-Net for optic disc and optic cup segmentation in retinal images.
•
Applied image processing techniques and trained the model using Dice loss and binary cross-entropy.
•
Assisted course instructors in conducting laboratory sessions, demonstrating
ractical a
lications of ro rammin conce ts.
Feb 2023 - May 2023
roblem-solvin , Technical Writin , Detail Oriented, Effective Communication.
LM, NLP, Image Processing, Web Scraping, ASP.NET/. NET, Machine Learning, GenAI, MLOPS,
lockchain Golan
achine Learning Specialization
I in Healthcare Specialization
oogle IT Automation with Python Professional Certificate
oo le Data Anal tics Professional Certificate
uage Model- National Universit of Science and Technolog
FAST Arts Society - Head of Operations
FAST NUCES ISLAMABAD CAMPUS
Muhammad Tallal Eatazaz
+923347222344, mmtalla!@gmail com
Naval Anchorage, Islamabad.
Linkedln: https· t,lwww linkedin com /jn /muhammad-talla!-eatazaz- I
~
https: t,l"ithub.com /tallal02
Natural Language Processing, Applied ML, Deep Learning, Generative Al, Software for Mobile
Devices Artificial lntelli ence Database S stems Software Desi n and Anal sis.
Mathematics Com uter Science
IL" ...... -'-.L.>1,1"""": Revolutionizing News Consumption with Al-Powered Summarization and Video Narration [Python,
ewspaper3K, PEGASUS, Mozilla TTS, FOMM, React, MongoDB]
NN Image Classifier [Python, Keras, TensorFiow, Seaborn] :
uilt a TensorF!ow CNN for Cats vs Dogs classification with 96% accuracy via advanced preprocessing and adaptive training.
rdu-to-English Translation [Python,Scikit-learn,Pytorch,NLTK]:
uilt a custom attention-based encoder-decoder RNN in PyTorch for Urdu-to-English translation.
iabetes Neural Classifier [Python, pandas, scikit-learo, TensorFlow/Keras, SHAP]:
uilt a neural network for diabetes classification using the Pima Indians dataset.
A/LO Management System [Kotlin, XML, Android Studio, SQLite]:
reated software to streamline TA and LO management with scheduling, task tracking, and reporting.
orkforce Nexus [MongoDB, Express.js, React.js, Node.js] :
eveloped a MERN stack employee hub with secure authentication and real-time updates for scalable performance.
ar Price Prediction [C++, OOP]:
os ital Mana ement S stem in C++ usin
ement and staff coordination.
ab Assistant, Fast NUCES, Islamabad.
orking as a Lab Assistant for Computer Organization and Assembly Language, !CT, and DBMS.
loud Application Development and Mobility Intern, Systems Limited, Islamabad
eveloped cloud app and mobility projects with scalable React.js/MS SQL solutions for real-time
dates and secure authentication.
yber Security Intern, Datamatics Consulting, Islamabad
elivered cybersecurity projects featuring Python encryption/decryption, vulnerability
ssessments and automated threat detection malware anal sis.
kills & Tools
Fall 2023 - Spring 2024
June 2023 - Aug 2023
June 2022 - Aug 2022
Languages: NextJS, ReactJS, JavaScript, HTML, CSS, Python, C++, Java, C#, Kotlin, SQL, x86 Assembly
Frameworks: Next.js, React, Node.js, Express.js, ASP.NET, .NET, JavaFX, MP!, OpenCL, Pytorch
Developer Tools: Git,Docker,VS Code,PyCharm,IntelliJ,Eclipse,MySQL,MongoDB,SSMS, DosBox, Maven
warded with a 75% Scholarship for my A Levels at SuperNova.
ecretary Computing Events @NaSCon '23, Head Workshops in Fast Computing Society for 2023-24 tenure
earheaded 5+ events with 500+ artici ants and coordinated multi le ear-round events ..
FAST NUCES ISLAMABAD CAMPUS

AI enrichment

Muhammad Talal Habshi is a Computer Science graduate specializing in AI, Machine Learning, and Full Stack Development, with practical experience as a Software Engineering Intern. He has demonstrated technical proficiency through multiple academic projects, including an award-winning AI-powered cricket coaching platform and various data analytics applications.
Skills (AI)
["Python", "Kotlin", "C++", "JavaScript", "React", "Node.js", "Express", "MongoDB", "AWS", "TensorFlow", "Docker", "Kubernetes", "CI/CD", "Machine Learning", "Computer Vision", "MLOps", "Git", "Agile Development"]
Status: ai_done
Provenance
Source file:
Created: 1777724106