Zain Ali
Data Scientist
Donegal
Summary
As a self-driven computer engineer, I bring extensive experience in data engineering and embedded system design for the public sector. With skills in embedded systems, automation, web development, and machine learning, I have had the opportunity to work with international clients on computer vision and embedded development, gaining invaluable exposure. Passionate about innovation and dedicated to staying at the forefront of industry trends, I am committed to making meaningful contributions to cutting-edge projects and driving technological advancement in the field of computer engineering.
Overview
3
3
years of professional experience
1
1
year of post-secondary education
Work History
Assistant Lecturer
Atlantic Technological University
Donegal , Ireland
2022.11 - 2023.04
- Supervised five final year projects in Computing department, focused on cutting-edge technologies such as IoT, Data Analytics, and Machine Learning.
- Involved in complete project development life cycle, providing input on project requirements, assistance with project planning, guidance on project execution, and review of project deliverables.
- Ensured exceptional project outcomes by prioritizing data collection, visualization, analysis, and evaluation in each project, utilizing power of Python for data visualization and statistical analysis.
- Conducted weekly meetings individually to diligently monitor progress, troubleshoot challenges, and proactively provide guidance to ensure students remained on track to meet project milestones.
- Provided thorough feedback on structure, content, and formatting of bi-weekly reports and thesis, while also providing expert guidance on identifying relevant literature, conducting comprehensive research, and methodically organizing ideas for optimal results.
IT CONSULTANT
WISAR LAB, ATLANTIC TECHNOLOGICAL UNIVERSITY
Donegal
2022.05 - 2022.09
Worked on Enterprise Ireland Innovation Partnership Feasibility Project to determine if a Machine Learning algorithm could predict appliance failure to allow for preventative measures.
- Feature engineering and data preprocessing were performed to acquire the data needed for processing.
- Data labeling and visualizing of each sensor record were automated.
- Developed different classification-based Machine Learning models to achieve the best results.
- Each model was evaluated based on its accuracy, precision, recall, F1-Score, and confusion matrix.
- Synthetic Minority Oversampling Technique (SMOTE) analysis used to resolve the issue was imbalanced with more normal data and very little failure data around 1.5%.
- An accuracy rate of 98% was achieved in predicting the failure.
- Tools Used: SQL, Excel, Python, Numpy, Matplotlib, Pandas, Sklearn.
ASSOCIATE DESIGN ENGINEER
LAMPRO MELLON IT SOLUTIONS (PVT) LTD
Lahore
2020.04 - 2021.11
BBC HiFive(RISCV-based board): Worked as a Technical Project Manager with BBC Tynker and SiFive’s USA team.
- Led a team of 6 engineers.
- Participated in beta testing.
- Developed projects in IoT, Robotics, and Artificial Intelligence.
- Contributed to the porting of micro python.
Training Team: Worked with the training team to develop current and upcoming batch courses and automate the labs and projects’ evaluation and grading process.
- Coordinated with Verilog RTL, Design Verification, Chisel, and Computer Architecture course designing teams.
- Facilitated writing course material, lab manuals, and solutions.
- Automated all course labs and project checking and evaluation.
- Made compatible with all courses’ labs with LM Velocity Checker.
LM Velocity Checker: Developed an auto checker and grader system to check the Verilog, System Verilog, Chisel, Python, and C/C++ codes.
- Led a team of 5 engineers.
- Did Python and Bash scripting for flow automation.
Providing YOCTO support for a RISCV-based board BeagleV governing by StarV, Seeed, and Beagle Boards.
Tested FreeRTOS on HiFive Unleashed board to write and test drivers for communication Ports UART, SPI, I2C, and interfaced esp32 module to introduce WLAN capabilities using/IP protocols.
PROJECT DEVELOPER
EASYSPOT IVS
Birkerød
2020.01 - 2021.08
- Developed an IoT-based fully automated billboard commercial product for clients in Denmark.
- Used Python, JSON, Java, and Docker for Linux (Ubuntu, Raspbian) based systems.
- Oversight the Competition and performed the market analysis.
- Acted as the functional expert to clients and prospects.
Education
Research Masters - COMPUTING
Atlantic Technological University
Ireland 2021.11 - Current
BS - COMPUTER ENGINEERING
University of Engineering And Technology
Pakistan 2025.10 - 2019.08
Skills
Shell Scriptingundefined
Additional Information
ACHIEVEMENTS
- Runner Up Award - Invent for the Planet hosted by Atlantic Technological University, Galway Campus (02/2023)
- Outstanding Performance Award – Lampro Mellon IT Solutions (PVT) LTD (10/2022)
- Prime Minister Laptop Scheme, Pakistan (11/2018)
- Chief Minister Laptop Scheme, Pakistan (06/2015)
Projects
Velocity Checker and Grader system
Developed a Velocity Checker and Grader system that automates the evaluation of source codes written in Verilog, System Verilog, Python, C/C++, and Scala. The system generates reports of the evaluated tasks and sends them to instructors, along with feedback to students. The project was implemented on an Intel Core i7 machine using Python, C, Bash, and Perl programming languages. The system was designed to run on Ubuntu operating systems.
Hardware: Intel core i7
Language: Python, C, Bash, Perl
OS: Ubuntu, Fedora
Smart Billboard system
Developed a Smart Billboard system, which is a commercial product that displays the latest advertisement from the cloud on an LCD screen when connected to the internet. The project involved designing and implementing the system from start to finish, utilizing hardware such as RPI0, RPI3 and RPI4.
Hardware: RPI0, RPI3, RPI4
Language: Python, C, Bash, Perl
OS: Ubuntu, Raspbian, Windows
GSM phone call encryption system
Conducted research and developed a GSM phone call encryption system to implement end-to-end encryption for voice calls. The system uses Advanced Encryption Standard (128 bit) to secure the calls.
Hardware: RPI0, RPI3, RPI4
Language: Python, C, Bash, MATLAB
OS: Ubuntu, Raspbian, Windows
Hospital assistance system
Developed a hospital assistance system that enables doctors to view past patient history, prescribe medication, and use AI-based X-scan image diagnosis to predict potential diseases (currently in progress). Additionally, the system generates receipts for patients at the reception desk.
Hardware: RPI0, RPI3, RPI4, Node MCU, esp32 module, health sensors
Language: Python, C, Bash, JAVA, JavaScript
OS: Ubuntu, Raspbian, Windows
RFID and Fingerprint Based Attendance System
Developed RFID and Fingerprint Based Attendance System for various organizations, streamlining the attendance process for students. The system continuously sends attendance data to the cloud and triggers SMS notifications through a GSM module for those who are late or absent.
Hardware: RPI0, RPI3, RPI4, Node MCU, esp32 module, RFID module
Language: Python, C, Bash, JAVA
OS: Ubuntu, Raspbian, Windows
Bluetooth Controlled Home Automation System
Developed a Bluetooth Controlled Home Automation System to enhance the convenience of controlling home appliances. By using the HC05 Bluetooth module, users can easily control their appliances through their smartphones. Additionally, I extended the functionality of DTMF to control home appliances using GSM phone calls, allowing for greater flexibility in automation.
Hardware: RPI0, RPI3, RPI4, Node MCU, esp32 module, HC05 Bluetooth
Language: Python, C, Bash, JAVA
OS: Ubuntu, Raspbian, Windows
Volunteering
President, Atlantic Technological University Robotics Society (03/2022 – CURRENT)
President, Taxilians Robotics & Automation Club, UET Taxila (06/2018 – 05/2020)
- Presided over the planning and execution of TECH CARNIVAL, a successful event that showcased a
Project Exhibition, DIY Robo Fun, Idea Win, and PUBG Competition. Demonstrated strong
organizational and leadership skills while attracting more than 200 participants from 5 different
universities to make the event successful. - Assigned duties, monitored, and guided the project development team improved by 70% more
performance. - Provided leadership and managed day-to-day operations, strategic planning, and finances for the
TRAC organization. Resolved conflicts, such as a disagreement over project timelines, by fostering
effective communication and mediation that led to a mutually agreeable solution. Cultivated a
positive work environment, contributing to the organization's success.
Timeline
BS - COMPUTER ENGINEERING
University of Engineering And Technology
2025.10 - 2019.08
Assistant Lecturer
Atlantic Technological University
2022.11 - 2023.04
IT CONSULTANT
WISAR LAB, ATLANTIC TECHNOLOGICAL UNIVERSITY
2022.05 - 2022.09
Research Masters - COMPUTING
Atlantic Technological University
2021.11 - Current
ASSOCIATE DESIGN ENGINEER
LAMPRO MELLON IT SOLUTIONS (PVT) LTD
2020.04 - 2021.11
PROJECT DEVELOPER
EASYSPOT IVS
2020.01 - 2021.08
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