My foundation
B.Tech in Computer Science & Engineering at the University of Kashmir.
COMPUTER SCIENCE · AI / ML · KASHMIR, INDIA
OPEN TO LEARNING & COLLABORATION
HELLO WORLD, I'M
ZEESHAN
ALTAF
.
Curiosity into intelligence.
I’m a Computer Science & Engineering student at the University of Kashmir, exploring how code, data and artificial intelligence can become useful solutions to real-world problems.
ZEESHAN'S DIGITAL WORKSPACE LIVE SESSION
class Zeeshan:
def __init__(self):
self.name = "Zeeshan Altaf Darzi"
self.focus = [
"Python", "AI / ML",
"Computer Vision",
"Software Development"
]
self.mindset = "Keep building."
# turning curiosity into projects_
zeeshan@workspace:~$ run portfolio.py
✓ Ready to learn. Ready to build.
PyPYTHON
JSJAVASCRIPT
⚛REACT
AIMACHINE LEARNING
01 / DIGITAL LABIDEAS → CODE → IMPACT
PYTHON ✳ ARTIFICIAL INTELLIGENCE ✳ MACHINE LEARNING ✳ COMPUTER VISION ✳ DEEP LEARNING ✳ SOFTWARE ✳
PYTHON ✳ ARTIFICIAL INTELLIGENCE ✳ MACHINE LEARNING ✳ COMPUTER VISION ✳ DEEP LEARNING ✳ SOFTWARE ✳
01 / ABOUT ME THE PERSON BEHIND THE CODE
A STUDENT WITH A BUILDER'S MINDSET
I don't just want to use technology. I want to understand it.
I’m Zeeshan — a Computer Science & Engineering student who enjoys exploring the connection between programming, intelligent systems and practical problem-solving.
My current learning journey is centred on Python, machine learning, deep learning and computer vision. I’m interested in understanding how data becomes insight, how models learn patterns, and how an idea can grow into a working application.
I believe strong engineering comes from curiosity, consistency and the willingness to experiment, make mistakes and improve the next version.
“Stay curious. Build with intent. Improve relentlessly.”
02 / QUICK INTRODUCTION AT A GLANCE
My direction
Artificial intelligence, machine learning, deep learning and computer vision.
My approach
Learn the fundamentals, build practical projects, test ideas and keep improving.
My base
Kashmir, India — connected to a global world of technology and ideas.
03 / TECHNICAL TOOLKIT WHAT I WORK WITH
A toolkit that keeps growing.
These are the technologies and areas I’m learning, practising and using in project work. I value understanding the fundamentals over collecting tool names.
Python
Writing programs, working with data and building the foundation for AI/ML applications.
Machine Learning
Exploring data preparation, model training, evaluation and the process of learning from examples.
Computer Vision
Working with visual data and exploring image processing, detection and recognition tasks.
Deep Learning
Learning neural-network concepts and experimenting with image-focused model architectures.
Application Development
Interested in turning backend logic and user needs into practical, usable software.
Tools & Workflow
Using a hands-on development workflow to write, run, debug and improve projects.
Skill cards describe areas of practice and interest, not formal proficiency ratings.
04 / AREAS OF INTEREST QUESTIONS THAT KEEP ME CURIOUS
Technology is exciting when it solves something.
Artificial Intelligence
Understanding systems that can recognise patterns, support decisions and make complex tasks easier.
Machine Learning
Exploring how algorithms learn from data, how performance is measured and how models can be improved.
Healthcare Technology
Interested in responsible AI applications that can assist analysis and make technical tools more accessible.
Product & Software Engineering
Building interfaces and workflows that make a technical idea understandable and useful to people.
05 / SELECTED PROJECTS LEARNING BY MAKING
From ideas to experiments.
Projects help me connect concepts with implementation. The descriptions below reflect the work and project information currently available.
CHEST X-RAY / AI STUDY
01Multi-Disease Chest X-ray Analysis
An exploration of AI-assisted chest X-ray analysis using the NIH ChestX-ray14 dataset. The work involves preparing image data, exploring disease labels and experimenting with deep-learning approaches for multi-label image classification.
VIEW ON GITHUB ↗REAL-TIME RECOGNITION02
Face Recognition System
A Python and OpenCV project exploring face detection and recognition with a custom dataset and webcam-based interaction. The repository includes scripts for handling faces, training and recognition.
VIEW ON GITHUB ↗§
LEGAL INFORMATION × AI03Lawmitra AI
An AI-powered legal information assistant concept focused on making legal information easier to explore and understand. A project idea at the intersection of technology and public access to information.
VIEW ON GITHUB ↗● ● ●UNIVERSITY
MANAGEMENT
04MANAGEMENT
University Management System
A software project centred on organising university information and management workflows. It reflects my interest in building structured applications for everyday needs.
VIEW ON GITHUB ↗MEDICAL IMAGING · IN PROGRESS05
Human Brain Tumor Detection
An ongoing project exploring deep-learning based detection of brain tumors from MRI scans. This work is still in progress, so no repository link is shared yet.
IN PROGRESS — COMING SOON06 / HOW I APPROACH A PROJECT MY BUILDING PROCESS
Small steps. Working outcomes.
Understand
Define the problem, identify who it affects and decide what a useful result should look like.
Research
Study the concepts, tools and data needed before choosing an implementation approach.
Build
Break the work into smaller tasks and turn the plan into a working prototype.
Test & improve
Check results, understand failures, refine the solution and document what I learn.
07 / EDUCATION & JOURNEY THE FOUNDATION
Still learning.
Always moving.
My journey in technology is a continuous process of strengthening fundamentals and applying them through projects.
B.Tech — Computer Science & Engineering
University of Kashmir
Building a foundation in computing, programming and software concepts.Computer Vision & AI Experiments
Face recognition and chest X-ray analysis
Exploring how machine learning and image-processing techniques can be applied to real datasets.Synertech 2026 Hackathon — 2nd Runner-Up
Competition recognition, plus certificates from Google, Tech Mahindra Foundation and Simplilearn.
Details are in the Achievements & Certifications section.08 / ACHIEVEMENTS & CERTIFICATIONS RECOGNITION & FORMAL LEARNING
Competitions entered. Courses completed.
A record of the hackathon placing and certificates I have earned while building my foundation in AI and software.
★
ACHIEVEMENT · HACKATHON
Synertech 2026 Hackathon
Placed as 2nd Runner-Up at Synertech 2026, a competition where an idea has to become a working prototype within a short deadline.
2ND
RUNNER
UP
RUNNER
UP
G
GOOGLE · CERTIFICATEIntroduction to Generative AI Studio
Foundational training on Google's Generative AI Studio, a workspace for trying out and refining generative AI prompts.
TM
TECH MAHINDRA FOUNDATIONCybersecurity
Certificate of Participation in a cybersecurity programme run by Tech Mahindra Foundation, adding a security mindset to my software learning.
S
SIMPLILEARN · 01 FEBRUARY 2026Machine Learning Using Python
A learning programme on the machine learning workflow with Python, from preparing data to training and evaluating models.
N
NIELET · CERTIFICATE OF PARTICIPATIONAI Drone Workshop
Certificate of participation in the NIELET AI Drone Workshop, gaining hands-on exposure to drone technology and AI-driven applications.
09 / WHAT DRIVES ME MY WORKING PRINCIPLES
Curiosity first
Ask why something works, not just how to copy it.
Fundamentals matter
Build a strong base before chasing complex tools.
Make it practical
Use projects to turn abstract ideas into something testable.
Keep improving
Treat feedback and mistakes as part of the engineering process.
10 / WHAT'S NEXT THE ROAD AHEAD
Focused on the next version.
I want to keep growing into an engineer who can understand a problem deeply and build thoughtful, reliable solutions.
- Strengthen data structures, algorithms and core computer science.
- Build deeper practical experience with machine learning workflows.
- Explore deep-learning architectures and responsible computer vision applications.
- Develop complete applications that connect models, backend logic and user experience.
- Collaborate, participate in technical communities and learn from other builders.
11 / CONTACT LET'S BUILD SOMETHING MEANINGFUL
HAVE AN IDEA, OPPORTUNITY OR A GOOD QUESTION?
Let's turn a
conversation into action.
I’m open to connecting with fellow students, developers, mentors and teams working on interesting ideas in AI, machine learning and software development.
zeeshanaltaf5555@gmail.com ↗