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Nabeel Qazi_

Systems Engineer

Engineer bridging software and hardware (EE + MS ECE candidate). Specializing in autonomous systems, edge AI, and sensor integration for robotics and energy applications.

Projects Lets talk details

Projects

PINNED

Autonomous UAVs

Flight Dynamics | Telemetry | Control Systems

Designed and piloted a long-endurance fixed-wing UAV for BVLOS operations. Integrated Pixhawk flight controller with Lidar for auto-landing and LoRa modules for long-range telemetry.

PixhawkArduPilotLidarLoRa TelemetryC++

[link]

PINNED

Edge-AI Contactless Fingerprint System

Edge Inference | Signal Processing | ISO Standards

ISO/IEC 19794-compliant fingerprint scanner using standard smartphone cameras. Reduced model size by 400% via quantization while maintaining 95% matching accuracy.

PythonKotlinTensorFlow LiteGabor FiltersONNX

PINNED

Solar Generation Forecasting

Grid Analysis | Predictive Modeling | Regression

Comparative analysis of regression models to forecast PV output for grid load optimization. Provided accurate generation forecasts to assist in load balancing and grid stability analysis.

PythonPandasScikit-LearnSolar Data

UAV Solar Power Integration

Power Systems | Feasibility Analysis | Hardware Design

Research study on integrating PV cells onto UAV wings to extend flight endurance. Identified configurations offering up to 30% cost savings and extended endurance for surveillance missions.

MATLABSimulinkPower Analysis

Microscopic Fabric Defect Detection

Industrial QA | Computer Vision | Research

Automated QA pipeline for textile manufacturing using microscopic imaging. Published in IEEE ICET 2022. Demonstrated feasibility of real-time defect detection on low-power hardware.

PyTorchComputer VisionEdge Deployment

[link]

Real-time Threat Detection System

Safety Systems | Real-time Processing | Object Detection

Low-latency firearm detection system for CCTV security networks. Achieved high true-positive rate with minimal latency, suitable for active security monitoring.

YOLOPythonOpenCVVideo Analytics

Traffic Flow & Classification

Remote Sensing | Data Analytics | Hardware Deployment

Automated vehicle counting and classification for billboard reach analysis. Automated the data collection for billboard impressions, replacing manual counting methods.

Object DetectionSORT AlgorithmPython

Enterprise Facial Recognition

Biometrics | Vector Search | Security

Face searching and matching algorithm using deep learning embeddings. Deployed as a core verification product, enabling secure and fast user authentication.

FaceNetMilvusVector EmbeddingsDocker

Skills

< > Programming Languages

→ C/C++
→ Python
→ Rust
→ MATLAB
→ SQL
→ Kotlin

◯ Embedded & Controls

→ RTOS (FreeRTOS)
→ PLCs (Industrial Automation)
→ ArduPilot / Pixhawk
→ NVIDIA Jetson
→ STM32 / ESP32
→ I2C / SPI / UART
→ CAN Bus / MAVLink

⚙ Hardware & Electronics

→ Oscilloscopes
→ Logic Analyzers
→ SolidWorks (CAD)
→ Altium Designer
→ LTSpice
→ LabVIEW

∑ Machine Learning & AI

→ PyTorch / TensorFlow
→ OpenCV (Computer Vision)
→ YOLO (Object Detection)
→ Edge AI (TFLite/ONNX)
→ Scikit-Learn
→ Vector Databases (Milvus)

☁ Cloud & DevOps

→ Linux / Bash
→ Docker / Containers
→ Jenkins (CI/CD)
→ AWS SageMaker
→ Google Cloud Platform

Experience

Systems Engineer

ZIX Labs LLC

07/2024 - Present Consulting

• Integrated hardware components with software systems to design, test, and deploy scalable, end-to-end technical architectures.
• Built data-driven solutions and AI pipelines to optimize system performance and automate complex workflows.
• Programmed microcontroller-based systems to enable real-time processing, sensor integration, and precise device control.
• Directed full-lifecycle engineering consulting projects from initial concept and feasibility analysis through final deployment.

Machine Learning Engineer

Love For Data LLC

01/2023 - 02/2024 Engineering

• Engineered robust facial recognition and threat detection systems using FaceNet and YOLO; integrated vector databases (Milvus) for sub-second verification.
• Quantized deep learning models for deployment on edge devices (smartphones/embedded), achieving a 400% reduction in model size.
• Built Retrieval-Augmented Generation (RAG) pipelines using Large Language Models (LLM), LangChain and PostgreSQL to automate document summarization.
• Established CI/CD pipelines using Docker and Jenkins to automate model training and deployment across cloud environments.

R&D Engineer

Love For Data LLC

03/2022 - 12/2022 R&D

• Developed an ISO/IEC 19794-2 compliant contactless fingerprint verification system using standard smartphone cameras.
• Curated and preprocessed a proprietary dataset of 10,000+ images using CVAT and Label Studio for high-accuracy model training.
• Researched and implemented face spoofing detection protocols using RetinaFace for enterprise security solutions.

Data Analyst (Network Engineering)

Ericsson Inc

10/2021 - 02/2022 Telecom

• Monitored KPIs across regional radio telecom networks to identify performance degradation and enable rapid corrective actions.
• Wrote Python scripts to automate daily operational reporting, reducing manual data processing time by 5 hours per day.
• Managed a geospatial database of 12,000+ telecom towers using SQL and GIS tools.

Design Engineer (UAV Systems)

Integrated Dynamics LLC

01/2021 - 03/2021 Hardware

• Integrated LiDAR and vision systems onto fixed-wing and rotary UAVs, validating hardware connections for autonomous flight.
• Configured Pixhawk controllers and tuned PID parameters within ArduPilot to ensure stable flight dynamics.
• Utilized MATLAB and Simulink to model control algorithms, reducing crash risks during field testing.
• Conducted feasibility studies on solar cell integration for UAV wings, identifying solutions to reduce power system costs by 30%.

Software Engineer Intern

VectraCom (Pvt) Ltd

01/2021 - 03/2021 Software

• Developed a Proof-of-Concept image classification model for plant disease diagnosis, achieving 85% accuracy on test datasets.
• Customized Odoo ERP modules to streamline CRM workflows, improving data organization efficiency by 40%.

Education

Master of Science, Computer Engineering

University of Michigan

01/2025 - Present

Focus on Embedded Systems & Control Theory

Bachelor of Science, Electrical Engineering

National University of Sciences and Technology (NUST)

09/2016 - 07/2020

Project: Autonomous UAV Navigation

Awards & Achievements

IEEE Published Author

IEEE - International Conference on Emerging Technologies (ICET)

2022

Contributed research on edge-based defect detection for industrial manufacturing. Demonstrated feasibility of real-time automated quality assurance on low-power hardware for textile manufacturing.

Grand Champion, IMechE UAS Challenge

Institution of Mechanical Engineers (IMechE)

2019

Led the software integration for an autonomous fixed-wing and rotary wing UAVs, winning the top prize against international competition. Demonstrated autonomous takeoff, landing, and beyond-visual-line-of-sight (BVLOS) operations with real-time telemetry.