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CS Undergraduate · Researcher · ML Engineer

Muhammad
Hassan
Altaf.

Currently pioneering underwater electromagnetic sensing pipelines and machine learning frameworks at NUML. Focused on bridging physical EM field equations with deep computer-vision neural architectures.

Explore Selected Work ↓ Initiate Project Card
Python Node.js React MATLAB PyTorch Kalman Filters Electromagnetics
guest@mha.dev ~ zsh shell Interactive

# Type "help" to see interactive commands.

# Live Connection Established with NUML node.

guest@mha.dev % help

Available: about, skills, fyp, contact, clear

guest@mha.dev %
remote server online --:--:-- PKT
Computer Science✦ Machine Learning✦ Signal Processing✦ Electromagnetic Systems✦ Image Segmentation✦ Full-Stack Web✦ MATLAB App Design✦ Kalman Tracking✦
01 — PAPERS VALIDATED
0
Research reviews & peer deep-dives.
02 — CERTIFICATIONS
0
MongoDB, Research Methods, project structures.
03 — FYP DURATION
0
Continuous electromagnetic sensing research.
04 — LIVE BUILDS
0
Tested pipelines & live web apps.
✦ 01 — IDENTITY

Who I
actually am.

TARGET: ACTIVE RESEARCH LAT. 31.4187° N / LON. 73.0791° E FIG.01 // SPATIAL SCAN MATRIX
AVAILABLE NOW
FULL-TIME · REMOTE · INTERNSHIP

I am a highly driven Computer Science undergraduate at NUML, dedicated to merging deep algorithmic models with physical-world variables.

Currently spearheading a multi-node electromagnetic sensing hardware-and-software research system under Dr. Muhammad Tahir at NUML, targeting complex object classification beneath highly conducting ocean matrices.

From developing full-stack database architectures to running complex satellite flood segmentation pipelines, I focus on scalable, mathematically rigorous code architectures.

Languages
  • • EnglishFluent
  • • UrduNative
  • • PunjabiNative
Current Milestones
  • • BSCS at NUML (CGPA Focus)
  • • Trajectory Kalman tracking pipeline
  • • Highly responsive UI architectures
Verified Competencies
Self Assessment
Machine Learning / Computer Vision92%
Signal Processing & MATLAB Numerical Modeling88%
Full-Stack Web Dev (Node.js, Express, React, DB)90%
Research Methodologies & Complex Modeling90%
✦ 02 — SPECIALIZATIONS

What I offer
to your pipeline.

Integrated computer science specialties. From complex hardware sensing calculations to clean digital products.

⌘ Production Level

Full-Stack Web Dev

Responsive frontend frameworks built alongside fast, highly optimized backend architectures using MongoDB, Node.js, and clean REST patterns.

HTML/CSSJS / ReactNode.jsREST APIMongoDB
◈ AI Focus

Machine Learning & CV

Neural image segmentation, target detection algorithms, and preprocessing multi-spectral imagery arrays.

∿ Mathematics

Sensing & DSP

Extracting physical anomalies using custom multi-node sensor networks, Kalman filtering, and MATLAB equations.

◉

Flood Mapping

Developing and modifying satellite arrays to evaluate flood levels and target boundaries.

✎

Technical Design

Automated Git workflows, CAD/Blender modeling, LaTeX research papers, and technical drafting.

Actively Studying

Advanced Deep Learning & PyTorch

Investigating real-time embedded object tracking, advanced computer vision networks, and PyTorch research papers.

Verified Tech stack: Python JavaScript MATLAB Node.js Express.js MongoDB PyTorch OpenCV NumPy SciPy Git Tailwind CSS Kalman Filters
✦ 03 — SELECTED PORTFOLIO

Selected works &
research labs.

EM FIELD SIMULATOR v1.2 // NUM'L LAB Active Simulation
Click to place metal target
TARGET: NONE GRID: NOMINAL

Click above to dynamically distort electromagnetic waves & measure perturbation.

FYP Research Signal Processing MATLAB Kalman Tracking

Underwater Object Identification & Imaging System

Dec 2024 — Present // Supervised by Dr. Muhammad Tahir, NUML

Developing a multi-node electromagnetic sensor grid to calculate and track sunken ferromagnetic bodies under harsh seawater conditions. Adapts ambient 50/60 Hz physical waveforms via sophisticated Kalman models and wave distortion classification.

  • ➔ Calibrated multi-node EM sensors evaluated against high-density WOA-2023 seawater profiles.
  • ➔ Fused dual-parameter Kalman matrices for physical trajectory target lock-on.
  • ➔ Programmed fully localized GUI using MATLAB App Designer for real-time sensor readout.
MATLABSignal ProcessingU-Net
Dossier Request
ML Project Computer Vision Open Source

Satellite Imaging Flood Segmentation AI

2024 // github.com/hassanaltafofficial

Programmed satellite terrain segmentation arrays utilizing spatial computer-vision parameters to evaluate real-world flood impact. Forked and expanded major open-source research networks (CC-BY-NC) to validate localized flood water boundary mapping.

  • ➔ Optimized pixel-level convolutional masks on high-resolution terrain snapshots.
  • ➔ Fitted Python computer-vision frameworks (OpenCV, NumPy) to segment non-linear topography.
  • ➔ Achieved high-speed preprocessing algorithms for multispectral datasets.
PythonPyTorchOpenCV
↗ View on GitHub
SEGMENTATION INTERACTIVE SLIDER Interactive
RAW MULTISPECTRAL SENSOR
CLASSIFIED NEURAL MASK
↔
Drag the divider to overlay the flood segment mapping model.
CLIENT DASHBOARD PREVIEW Interactive UI
Node Server Monitor LIVE
CPU Usage
34.2%
Database I/O
88 req/s
[ok] GET /api/v1/targets - 200 OK
[info] Database replication matrix nominal
Click on metrics cards to test live event-listeners & async logs.
Freelance Contract Full-Stack Development MongoDB

Scalable Full-Stack Client Systems

2024 — May 2025 // Remote Freelance Contracts

Created and deployed client-facing business applications designed to handle high transaction traffic. Built with modular web frameworks to ensure rapid response times, optimal cross-device performance, and clean database structures.

  • ➔ Coded interactive user interfaces utilizing optimized React lifecycle rendering.
  • ➔ Configured protected REST API pipelines using robust server-side routing paradigms.
  • ➔ Structured clean NoSQL databases to guarantee zero latency on concurrent requests.
HTML5/CSS3Node.jsNoSQL
➔ Send Collaboration Query
✦ 04 — BACKGROUND MATRIX

Academic and
professional path.

Professional Milestones

  1. FYP Core Researcher

    Dec 2024 — Present
    NUML · Department of Software Engineering

    Pioneering algorithmic approaches for underwater magnetic field calculations alongside Dr. Muhammad Tahir. Focused on building hardware processing frameworks and noise-canceling signal grids.

  2. Full-Stack Web Architect

    May 2024 — May 2025
    Remote Freelancing Contracts

    Contracted to design high-performance admin dashboards, secure REST API integrations, and scalable document-model databases for diverse remote systems.

Education Matrix

  1. BS Computer Science

    2023 — 2027
    National University of Modern Languages

    Undergraduate Studies · Faisalabad Campus. Research track.

  2. Intermediate F.Sc (Pre-Eng)

    2020 — 2022
    Aqleem College, Gojra, Pakistan

  3. Matriculation (Science)

    2018 — 2020
    The Educators, Gojra, Pakistan
Credentials & Certifications
MongoDB & Document Model Research Methodologies (Coursera) Project Management Foundations Grow Together Soft Skills Bootcamp
05 - Contact

Ready to build useful systems.

For internships, research collaboration, full-stack work, or machine-learning projects, reach out directly. I prefer clear conversations, fast replies, and practical next steps.

Email directly Call or WhatsApp
Email
hassanaltafofficial@gmail.com
Open mail
Phone
+92 331 7508422
Start call
GitHub
github.com/hassanaltafofficial
View code
LinkedIn
muhammad-hassan-altaf
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