SYAJ
Mohamad Syaj
Open to opportunities

MOHAMAD
SYAJ.

SOFTWARE ENGINEER
Dearborn, MI [email protected] GitHub LinkedIn
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Who I Am

Computer Science graduate from the University of Michigan-Dearborn with hands-on experience building scalable full-stack applications, cloud-native systems, and AI-powered software.

I focus on backend engineering, REST API design, microservices architecture, and responsive frontend development. I enjoy turning complex ideas into clean, reliable software — from AI medical tools to real-time telemetry dashboards and full-stack business platforms.

Languages
Python · JavaScript · Java · C++ · Kotlin · PHP · SQL · TypeScript
Frontend
React · React Native · HTML · CSS · Vite · Tailwind CSS
Backend
Node.js · Express · Django · Flask · FastAPI
AI / ML
TensorFlow · OpenCV · Google Colab · Jupyter Notebooks · Neural networks · Computer vision
Cloud & DevOps
AWS · Azure · Docker · Jenkins · CI/CD · Microservices
Databases
PostgreSQL · MySQL · MongoDB · Firebase · Supabase · SQL Query Optimization · Database Design · Relational Databases · NoSQL Databases · Data Modeling
3.83
GPA — High Distinction
3+
Years of Experience
20+
Technologies Used
Education
University of Michigan–Dearborn
Bachelor of Science in Computer Science — Graduated December 2025
GPA: 3.83 / 4.0 · High Distinction
Relevant Coursework: Data Structures & Algorithms, Operating Systems, Computer Networks, Software Engineering, Artificial Intelligence, Edge Computing, Mobile Application Design, Web Design.
Dec 2025
Career

Experience

Software Engineer
AmanaCode LLC
+
May 2026 – Present · Dearborn, MI
  • Developed and maintained full-stack applications using React and Node.js, supporting 200+ concurrent users and scaling to around 500 daily users.
  • Built modular backend services following microservices architecture for maintainability and future feature expansion.
  • Integrated AWS cloud services and CI/CD pipelines using Docker and Jenkins to improve deployment reliability and delivery speed.
React Node.js AWS Docker Jenkins Microservices
Software Engineer
MASA — Dearborn Rocketry Team
+
09/2024 – 05/2025 · Dearborn, MI
  • Built a real-time telemetry visualization system integrating wireless and serial sensor data during live flight tests.
  • Engineered low-latency processing with buffering and auto-reconnection for reliable streaming under unstable conditions.
  • Collaborated with avionics, propulsion, and mechanical teams to deliver mission-critical software features.
Python Telemetry Real-Time Systems Serial Data
Pharmacy Technician & Delivery Driver
Blossom Care Pharmacy
+
Feb 2021 – May 2026 · Dearborn, MI
  • Managed high-volume medication delivery operations while maintaining regulatory compliance and operational reliability.
  • Managed high-volume delivery operations while maintaining accuracy, reliability, and patient service quality.
Healthcare Operations Compliance
career.console
> current_focus
Full-Stack Engineering
> specialties
Full-Stack · AI · Embedded · Cloud Systems
> technologies
React
Node.js
Python
AWS
Docker
Kotlin
FastAPI
PostgreSQL
> status
Open to Software Engineering Opportunities
Work

Featured Projects

01
Client Project · Production Platform
Merriman Manor Booking Platform
Production venue reservation platform built with React, Node.js, Express, PostgreSQL, and Supabase. Integrated Stripe payments, Resend email notifications, booking validation, and deployment across Vercel and Render.
100+ Customer Bookings
Stripe Checkout
Automated Emails
Vercel + Render
Production Build
React Node.js Express PostgreSQL Supabase Stripe
100+
Bookings Processed
Stripe
Payment Flow
Live
Availability
SQL
Booking Logic
↗ View Live Project
02
AI · Medical Imaging
Diabetic Retinopathy Detection Application
AI-powered medical imaging application that classifies retinal images into five diabetic retinopathy severity levels using a TensorFlow CNN, FastAPI backend, Firebase cloud workflows, and a Kotlin Android app.
Team Lead
80% Validation Accuracy
5 Severity Levels
Android App
Team Lead
Python TensorFlow FastAPI Firebase Kotlin Android
80%
Validation Accuracy
<5s
Prediction Time
5
Severity Levels
4
Developer Team
↗ View Project Repository
03
IoT · Hackathon Platform
BLE Tracker Detection System
Real-time Bluetooth Low Energy tracking platform using Python, Bleak, AsyncIO, Raspberry Pi 5, and Flask to detect AirTags, Samsung SmartTags, Tile devices, and nearby BLE trackers.
40+ Devices Per Scan
20m Detection Range
Live Dashboard
Raspberry Pi 5
Hack Dearborn
Python Flask Bleak AsyncIO BLE Raspberry Pi
40+
Devices Per Cycle
20m
Detection Range
Live
API Updates
BLE
Tracker Detection
↗ View Project Repository
04
Cloud · Edge Monitoring
AWS Cloud-Based IoT Monitoring Platform
Edge-to-cloud monitoring platform that sends Raspberry Pi telemetry to AWS IoT Core over MQTT, processes readings with Lambda, and triggers Amazon SES email alerts when thresholds are exceeded.
AWS IoT Core
MQTT Telemetry
Lambda Processing
SES Alerts
Cloud Project
Python AWS IoT Core MQTT Lambda SES Raspberry Pi
MQTT
Telemetry
Lambda
Event Logic
SES
Email Alerts
Edge
Raspberry Pi
AWS Cloud Project
05
AI · Audio Classification
AI Music Emotion Analyzer
Machine learning application using TensorFlow and Google YAMNet embeddings to classify music into Happy, Sad, Angry, and Calm categories through an integrated desktop analysis workflow.
YAMNet Embeddings
TensorFlow Classifier
DEAM Dataset
Team Project
ML Application
Python TensorFlow YAMNet Audio ML Neural Network
4
Emotions
Audio
Embeddings
Team
Collaboration
ML
Classifier
↗ Watch Project Demo
06
Robotics · Computer Vision
ROS2 Red Ball Tracking Robot
Robotics application using ROS2 Foxy, Gazebo, RViz, Python, and OpenCV to detect a red object through HSV segmentation and control robot motion to keep the target aligned.
ROS2 Foxy
OpenCV Tracking
Gazebo Simulation
Closed-Loop Control
Robotics Project
Python ROS2 OpenCV Gazebo RViz Linux
> camera_feed: active
> red_target: locked
> cmd_vel: publishing
> rviz_status: tracking
ROS2
Robot Stack
OpenCV
Vision Logic
RViz
Visualization
Auto
Target Tracking
↗ Watch Project Demo
07
Security · Web Application
MyPass Password Vault
Secure password management application using Python, Flask, JavaScript, encryption, authentication workflows, password generation, and multiple software design patterns for maintainability.
Encrypted Storage
Authentication
Password Generator
Design Patterns
Security Project
Python Flask JavaScript Cryptography Design Patterns
> vault: encrypted
> auth: verified
Secure
Credential Vault
Auth
Login Flow
Crypto
Encrypted Data
OOP
Design Patterns
↗ View Project Repository
08
Web App · E-Commerce
Central Park Café Online Ordering Web Application
Full-stack restaurant ordering platform using PHP, MySQL, JavaScript, HTML, and CSS with authentication, session management, checkout functionality, and secure database handling.
Team Lead
Authentication
Checkout Flow
Normalized MySQL DB
Team Lead
PHP MySQL JavaScript HTML CSS
Auth
User Sessions
SQL
Prepared Queries
DB
Normalized Schema
Secure
Input Validation
↗ View Project Repository
01 / 08
Contact
LET'S
TALK.
[email protected]