Available for Remote & Relocation Roles

Mohammed Nasik
S.A.M. Nasik

AI-Powered Full-Stack Engineer building intelligent systems — from CNN-based medical imaging to IoT patient monitoring and production SaaS platforms.

Python / ML React.js / Next.js FastAPI / Flask ESP32 / IoT PostgreSQL CNN / XGBoost
3+
Years Experience
9+
Projects Built
2
Published Papers
1
Award Won
Mohammed Nasik

Mohammed Nasik

BSc Computer Science · University of Wolverhampton 🇬🇧

AI & Machine Learning
CNN · XGBoost · NLP · scikit-learn
Full-Stack Development
React · Next.js · FastAPI · PostgreSQL
IoT & Embedded Systems
ESP32 · Arduino · GSM · LoRaWAN
Published Researcher
Google Scholar · FARS 2022 & 2023

Building intelligent systems that solve real problems

I'm a Software Engineer and Electronics Engineer with 3+ years of hands-on experience building AI-powered full-stack applications, machine learning models, and IoT embedded solutions from Sri Lanka.

My rare combination of deep AI/ML expertise and production full-stack development means I can design the model, build the backend, and ship the frontend — end to end. I've deployed real systems used in live business operations, published research on Google Scholar, and received an Outstanding Poster Award at ASRC 2022.

Currently completing my BSc (Hons) Computer Science at the University of Wolverhampton, UK. Open to remote and international opportunities.

Get In Touch
Outstanding Poster Award
Outstanding Poster Award — ASRC 2022

Received the Outstanding Poster Award at the Annual Student Research Congress 2022, University of Vavuniya, for the research paper "Arduino Obstacle Avoiding, Voice Control And Bluetooth Control Robot" — also selected for SLASSCOM Ingenuity Awards 2023.


What I work with

A rare combination of AI/ML, full-stack, and IoT skills built through real projects and published research.

AI & Machine Learning
PythonTensorFlow CNN (ResNet50)XGBoost scikit-learnSVM / MLP AutoencoderRandom Forest Jupyter Notebook
Full-Stack Development
React.jsNext.js FastAPIFlask Spring BootNode.js PHPREST API Tailwind CSS
Databases
PostgreSQLMySQL SQLiteSQLAlchemy HibernateAlembic Schema Design
IoT & Embedded Systems
ESP32Arduino GSMLoRaWAN MAX30102MPU6050 NEO-6M GPSMikroC
NLP & Data Science
spaCyNLTK TF-IDFNLP Pipelines SPSSPandas Matplotlib
Languages & Tools
JavaC#/.NET C/C++JavaScript Android StudioDocker GitHubMATLAB

Where I've worked

3+ years across internships, freelance, and academic roles — building real software used in real operations.

Visiting Lecturer — Advanced Programming & Embedded Systems
May 2025 – Present
Gampaha Technical College, Department of Electronics
  • Delivering Advanced Programming for Industrial Electronics to technical diploma students.
  • Designing curriculum covering microcontroller programming, IoT integration, and database connectivity.
  • Developing training materials, practical labs, and assessments for hands-on technical education.
Software Engineer — Full-Stack, AI & IoT Systems
Apr 2023 – Present
NEW A.R. Trading (Pvt) Ltd & Freelance Projects · Sri Lanka
  • Built complete business ERP platform for inventory and sales management — deployed in live operations.
  • Developed company web platform using React.js, Next.js, PostgreSQL, Node.js, and REST API.
  • Deployed IoT greenhouse automation system with ESP32, Arduino, and GSM — published research FARS 2023.
  • Built Accident Alert & GPS Tracker using ESP32, MPU6050, NEO-6M, and SIM800L GSM.
Software Engineer Intern — AI & Machine Learning (Remote)
Aug 2023 – Feb 2024
Pantech Solutions, India · Remote
  • Developed AI applications and ML models for clinical data analysis and pattern recognition.
  • Integrated IoT hardware with cloud-based AI algorithms for real-time processing.
  • Certified in AI, Machine Learning, Arduino, Data Analytics, Python, and BCI (Pantech, 2025).
Software & Electronics Engineer Intern
Mar 2022 – Feb 2023
Sri Lanka Telecom (SLT-Mobitel) PLC · Colombo
  • Designed internal web applications for workflow automation, service tracking, and reporting.
  • Developed database-driven tools for enterprise equipment inventory management.
  • Supported service assurance, network switch management, and vendor collaboration.

Academic Background

Multi-disciplinary background spanning software engineering, electronics, and AI.

BSc (Hons) Computer Science (Software Engineering)
University of Wolverhampton, UK (via CINEC)
2023 – 2026 · Completed, Awaiting Results
FYP: AI-Assisted Breast Cancer Detection & IoT Patient Monitoring
BSC in Software Engineering
Wayamba University of Sri Lanka
2020 – 2023
Distinction Pass · Overall Average: 76.09
HND (NVQ Level 6) in Electronics Technology
Gampaha Technical College
2020 – 2024
National Vocational Qualification Level 6
Diploma in IT (International) — Pearson Assured
Esoft Metro Campus
2014 – 2015
Pearson International Qualification

What I've built

Real systems spanning AI, full-stack web, IoT, and enterprise applications.

Breast Cancer AI
AI · IoT · Full-Stack
AI-Assisted Breast Cancer Detection & IoT Patient Monitoring
CNN (ResNet50, EfficientNetB0) for mammogram analysis + XGBoost clinical classifier + ESP32 IoT patient monitoring with FastAPI backend and React.js clinical dashboard.
PythonTensorFlow XGBoostFastAPI React.jsPostgreSQL ESP32
PhishGuard
NLP · AI · Cybersecurity
PhishGuard-LK — Sinhala/Singlish Phishing Detector
3-classifier ensemble (SVM, Logistic Regression, MLP) for detecting phishing in Sinhala/Singlish text — achieving 93–96% accuracy on a manually curated 1,020-message dataset.
PythonspaCy SVMTF-IDF FlaskSQLite
Vacancy System
AI · Full-Stack · Mobile
Intelligent Vacancy Ranking & Skill Gap Analysis System
AI-powered recruitment platform with NLP resume parsing, skill-gap matching, and candidate ranking. Includes companion Android app with job seeker and employer portals.
PHPPython FlaskspaCy MySQLAndroid Studio
LoRaWAN
ML · IoT Security · Research
LoRaWAN IoT Network Anomaly Detection using ML
Autoencoder, Isolation Forest, and Random Forest models for detecting RF jamming attacks and anomalies in LoRaWAN IoT networks. Full thesis research.
PythonTensorFlow AutoencoderRandom Forest scikit-learn
Banking System
Full-Stack · Enterprise
Digital Banking Operations System
Enterprise banking platform with React.js frontend, Spring Boot backend, and PostgreSQL. Covers account management, PIN, deposits, withdrawals, fund transfers, and audit logging.
React.jsSpring Boot PostgreSQLSpring Security JWTHibernate
GPS Tracker
IoT · Embedded Systems
Accident Alert & GPS Tracking System
Real-time crash detection system using ESP32, MPU6050 accelerometer, NEO-6M GPS, and SIM800L GSM for automatic accident alerts with live location reporting.
ESP32MPU6050 NEO-6M GPSSIM800L Embedded C
CyberShield
Full-Stack · SaaS
CyberShield Academy — Cybersecurity Training Platform
Full-stack cybersecurity training web platform with course management, user authentication, quizzes, and responsive design for security professionals.
PHPMySQL JavaScriptBootstrap Python
Greenhouse
IoT · Published Research
IoT Greenhouse Automation with GSM Technology
Automated greenhouse system with ESP32, Arduino, environmental sensors, automated irrigation/ventilation control, and GSM SMS alerts. Published at FARS 2023.
ESP32Arduino GSMDHT22 Android Studio
IRMS
Desktop · Enterprise · Team Lead
IRMS — Retail Management System
Led 5-person team to build complete retail ERP desktop app — POS with QR receipts, inventory management, supplier management, real-time dashboards, and role-based security.
C#.NET 7 Windows FormsSQLite GDI+

Published Research

Two papers published on Google Scholar and presented at international research symposiums.

Outstanding Poster Award Google Scholar
Arduino Obstacle Avoiding, Voice Control And Bluetooth Control Robot
Faculty Annual Research Symposium (FARS) 2022 · University of Vavuniya · ASRC 2022
Designed and built a multi-modal autonomous robot with obstacle avoidance, voice command control, and Bluetooth remote control. Received Outstanding Poster Award at ASRC 2022.
Scholar Award
SLASSCOM 2023 Google Scholar
IoT Based Automated Greenhouse with GSM Technology
Faculty Annual Research Symposium (FARS) 2023 · University of Vavuniya · SLASSCOM Ingenuity Awards 2023
Real-time IoT greenhouse automation using ESP32, Arduino, and GSM with automated environmental control and SMS alerts. Selected for SLASSCOM National Ingenuity Awards 2023.
Read Paper
Research Highlights — Demo Reel

Prototype demonstrations and research outcomes from FARS 2022 and FARS 2023.


Let's work together

I'm open to remote roles, international opportunities, and freelance projects in AI/ML, full-stack development, and IoT systems. Based in Sri Lanka — willing to relocate.

Download CV