I’m Peters Elijah, an Electrical & Electronics Engineer working with KiCad, circuit simulation and Python. Explore my board layouts, circuit studies and hardware–software prototypes, with the evidence and limitations behind each project.
Embedded systems · Circuit design · AI evaluation · Hardware/software integration
Engineering judgement, sharpened through professional practice.
Circuit-design review, AI evaluation and applied data science, with a consistent focus on technical accuracy and dependable execution.
01
From May 2026 · Project work
Electronics Circuit Design Expert
Micro1
Reviewed four engineering deliverable types—schematics, PCB layouts, netlists and AI-generated engineering outputs—across three design tools: LTspice, KiCad and DesignSpark PCB.
02
Nov 2025 - Feb 2026
AI Technical Trainer & Data Specialist
Micro1
Built and reviewed technical datasets against three quality checks: edge-case coverage, executable reasoning and evaluation reliability.
03
Aug - Sep 2024
Data Science Intern
Codsoft
Delivered four-stage machine-learning workflows spanning data preparation, exploratory analysis, feature engineering and model evaluation.
04
Mar - May 2024
Data Science Intern
DSN-OOU
Completed a three-month, project-based internship applying Python analysis and machine-learning methods in a collaborative environment.
02 / Projects
Software that connects models, data and hardware.
From a locally verified access decision to a flight-data workspace: the problem, my contribution and the evidence behind each result.
Flagship project · 2026
AuraPass
An offline biometric examination-access prototype connecting identity, course eligibility, seat allocation and a simulated gate.
Course-form data and guided face samples create a local student record. AuraPass then verifies identity, eligibility, repeat entry and capacity before reserving a seat and moving the Proteus gate.
Controlled negative-face evaluation: 500 LFW source faces across 10 original, lighting, contrast, rotation, blur and shadow variants. All 5,000 attempts were denied or quality-rejected; none were granted. This measures false grants, not overall biometric accuracy.
Machine learning · Systems engineering
SkyETA
A flight-intelligence workspace for comparing provider-backed fares worldwide and understanding the evidence available for a journey.
SkyETA brings fare, schedule and operational sources into one organised view. It checks route-matched 15+, 30+ and 60+ minute delay history worldwide when records exist, while its trained schedule model remains limited to verified U.S. routes.
How SkyETA works
01Search the journeyChoose a route, date, cabin and passenger count.
02Compare real optionsReview current fares, schedules, stops and baggage.
03Understand the evidenceSee flight-specific history, sample confidence and U.S. model coverage.
SkyETA labels provider fares, observed AirLabs information and historical model estimates separately so visitors know what each result means.
Role
Systems engineering, machine learning & instrumentation UI
Stack
Python, machine learning, Pandas & TypeScript
Evidence
5.15M U.S. records profiled · 750k model-fit sample · 643k Brazilian schedules matched to outcomes
A KiCad carrier-board project and five circuit studies. Each explains the design goal, the evidence available and the work still needed before a physical implementation can be trusted.
PCB layout · KiCad · Rev C
Incubator interface carrier
A two-layer board bringing sensor connections, relay-control signals and status indicators into one organised interface for an Arduino Mega-based incubator controller.
Engineering systems across circuit design, simulation and applied intelligence.
I am an Electrical & Electronics Engineer working at the intersection of electronics and intelligent software. I translate technical requirements into testable systems—from analysing circuit behaviour and validating schematics to developing computer-vision and data-driven applications.
I earned my B.Eng in Electrical & Electronics Engineering from Olabisi Onabanjo University with Second Class Upper honours. In my work with Micro1, I have evaluated circuit designs and AI-generated engineering work, paying close attention to the edge cases and verification details that separate a plausible result from a dependable one.
01
Circuit & simulation
LTspice, KiCad, Qucs-S, DesignSpark PCB, Proteus and MATLAB/Simulink.
02
AI & computer vision
Python, OpenCV, MediaPipe, DeepFace, scikit-learn, Pandas and NumPy.
03
Engineering software
C++, SQL, HTML/CSS, Bash, Ansys SpaceClaim and Ansys Fluent.
05 / Contact
Let’s build something that works beautifully.
I’m open to electronics, embedded systems, AI evaluation and multidisciplinary engineering opportunities.
