Real-Time R D
Resume:
Leonel Akanji Akanji
*******@********.***
linkedin.com/in/akanjileonelakanji
github.com/Ijnaka22len/
Las Vegas, NV 89103 US
SUMMARY / OBJECTIVE
I am highly motivated and self-driven, with extensive hands-on experience in firmware development, hardware design, AI/ML integration, real-time signal processing, and team leadership. I am seeking long-term, full-time employment in embedded systems engineering where I can both apply my technical expertise and continue to learn and develop my skills. EXPERIENCE
Clarkson University, Potsdam, New York, USA
Hardware Engineer- R&D
Spring 2025
● Developed a smart instrumented sock for continuous stress monitoring and recovery pattern analysis, a medical device incorporating a test system for physiological signal acquisition and processing.
● Lectured on TinyML, AI on Edge devices, PCB design, consumer electronics development, and mobile application development.
● Conducting cutting-edge AI/ML research in the AI Vision, Health, Biometrics, and Applied Computing (AVHBAC) Lab. Graduate Research Assistant at Clarkson University Fall 2023 – Fall 2024
● Embedded Engineer in Firmware Development and Mobile Applications.
● Developed an AI-powered wireless gesture-based drawing pen (AIDrawPen) to assist in kids’ rehabilitation therapy.
● Engineered Tiny-BLE-Stat, a low-cost electrochemical sensing device, optimizing circuit design and firmware to reduce costs.
● Collaborated in the Design of an NFC-powered biosensing Bandage for capturing noise-free vocal signals, advancing speech recognition, and real-time health monitoring.
● Developed a Smartphone-Controlled Infant Fingerprint Scanner, winning 2nd prize at CITeR Fall 2023.
● Built a Facial Expression Recognition (FER) CNN model that achieved 97% accuracy in validation tests.
● Designed a precision Antenna Azimuth Position Control System using PID algorithms, scoring 100% in stability and accuracy tests.
Gokido, Kocaeli, Turkey
Embedded Engineer
May 2022 – Apr 2023
● Integrated Alan AI's Conversational AI (LLM-based voice assistant) into the Gokido mobile app, enhancing accessibility for visually impaired users by 35% through Text-to-Speech (TTS) and Speech-to-Text (STT) voice signal processing.
● Led the successful launch of Gokido Smart Cane, accelerating product release by 3 months.
● Presented at Teknofest Samsun 2022 and Takeoff-Istanbul 2022, securing 250K TL in funding for Gokido.
● Developed firmware for Pokido, an interactive game box for visually impaired users, securing a 200,000 TL prize at Teknofest Samsun 2022.
● Supervised 4 interns, boosting development efficiency and team productivity. EDUCATION
Clarkson University, Potsdam, NY
Master of Science in Electrical and Computer Engineering Graduated: Fall 2024
● Research and Paper Presentation, Control Systems, Deep Learning, Applied Machine Learning. Projects: tiny-BLE-Stat, AIDrawPen,
Kocaeli University, Kocaeli, Turkey
Master of Science in Electronic and Communication Engineering
● Transferred to Clarkson University, Potsdam, NY in Spring 2023
● Computer Hardware Architecture, FPGA, Verilog, Advanced Digital Design, System Theory, Scientific Research Methods.
Kocaeli University, Kocaeli, Turkey
Bachelor of Science in Mechatronics Engineering
Graduated: Fall 2022
● Capstone Project( General purpose 2-Axis Satcom-on-the-Move): Led the design of an unmanned ground vehicle with dynamic satellite tracking using Raspberry Pi and Python. Integrated GPS, compass, and motor control for real-time positioning and communication alignment.
● Participated in the Bertelsmann Tech Scholarship Program in 2020/2021
● Awarded internships in 2021 and 2022
Undergraduate Internships
Connetium, Kocaeli, Turkey
Software Engineer Intern
Mar 2022 – May 2022
● Developed an IMDB movie recommender app in Dart/Flutter, leveraging Firebase Firestore and REST APIs.
● Utilized Cloud Firestore, Authentication, NoSQL, Angular, JavaScript, TypeScript, and Git for efficient mobile app development
Yongatek Microelectronics, Istanbul, Turkey
Software Engineer Intern
Jun 2021 – Oct 2021
● Creating desktop applications for Image Processing algorithms using C++ and JavaScript in QT creator.
● This contributed to the development and launch of a Wi-Fi logger app (Conveyor app), which was successfully marketed, securing rentals at a rate of 100 euros per month per user.
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Scholarships
Udacity - Bertelsmann Tech Scholarship Program
Nov 2020 – Jun 2021
The Bertelsmann Tech Scholarship Program is an initiative aimed at empowering individuals with digital skills in the fields of Cloud Computing, Data Science, and Artificial Intelligence
● Developed AI-powered pneumonia prediction models using Google AutoML and Figure Eight’s platforms.
● Designed an AI-driven breast cancer detection system and fingerprint classification model using KNN, SVM, and AlexNet.
● Led automated data labeling and annotation pipelines, improving AI model robustness.
● Acted as a Python tutor, supporting learners in AI and data science projects. LICENSES AND CERTIFICATIONS
AI Product Manager, Udacity, Sep 2021
● AI Product manager utilizing: Artificial Intelligence (AI), Figure Eight’s platforms, Google Cloud AutoML, Automated Machine Learning (AutoML), Python Programming and Tutoring, Volunteering, Software Project Management, HTML, Cascading Style Sheets (CSS), JavaScript, Project Proposal writing, Data annotation, Data Labelling. Python For Data Science, IBM, Jan 2021
● Data analysis using IBM's Jupyter-based lab environment. Skills: Data Science, Pandas, PWID-B0367400, Python Programming. Multi-Agent Systems with Crew AI, Omdena, Mar 2025
● Completed CrewAI certification focused on building intelligent multi-agent systems for AI-driven automation. PUBLICATIONS AND PRESENTATIONS
AIDrawPen: An AI-Powered Gesture-Based Drawing Tool for Pediatric Rehabilitation
● Approved for Poster Presentation at IEEE Microelectronics Design and Test Symposium (MDTS), Albany, NY, May 2025 Smartphone-Controlled Infant Fingerprint Scanner
● Won 2nd prize at CITeR Fall 2023 poster presentation at Clarkson University, Potsdam, NY SKILLS
Programming & Development
● Languages: Python, JavaScript, SQL, Dart (Flutter SDK, Android SDK ), C++
● Web and Mobile Development: JavaScript (Node.js, Angular, React), REST APIs, HTML, CSS, Firebase, NoSQL
● Object-Oriented Programming (OOP): Strong experience in Python and C++ with design patterns and modular architecture
● Software Engineering: Microservices, Cloud-based architectures, Containerization (Docker, Kubernetes), Agile methodologies Machine Learning, Deep Learning, Artificial Intelligence (AI), and Data Science
● AI/ML Frameworks: TensorFlow, PyTorch, Scikit-Learn, Keras
● Big Data & Analytics: Data structures, algorithms, data preprocessing, database querying (SQL, NoSQL)
● AI Applications: Text-to-Speech (TTS), Speech Recognition, NLP (LLMs like OpenAI API, CrewAI), Predictive Analytics
● Generative AI: AIOps, AgentOps, AI agents, IT operations automation, predictive analytics, systems monitoring, optimization Database and Cloud Technologies
● Databases: SQL, Firebase, NoSQL (MongoDB), Data modeling, Query optimization
● Cloud Computing: Google Cloud AutoML, AIOps, Edge computing, DevOps principles, Cursor, Windsor Development Tools and Version Control
● Git, GitHub, GitLab, Agile workflows, Debugging tools, software configuration, defect tracking, and code reviews. Teamwork and Leadership
● Project management, tutoring, intern supervisor, lab instructor, PCB design inspection and testing, creativity and critical thinking, strong verbal and written communication, product development, high-performance computing, Strong analytical skills. Embedded systems and Hardware
● RTOS, FreeRTOS, Embedded Linux, ARM Cortex-M, STM32, EFR32x, Nordic, Esp32, FPGA, Raspberry Pi, Arduino, PIC
● Debuggers, JTAG, Oscilloscopes, Multimeters, Logic Analyzers, PCB Design, debugging, troubleshooting, prototyping, manufacturing and testing, root cause analysis, mixed signal and circuit analysis, signal routing, schematics, datasheets.
● Communication Protocols: Bluetooth (BLE), I2S, GPS, GPIO, ADCs, IMU, Wi-Fi, Zigbee, CP/IP, UART, USB, SPI, I2C, EEPROM, RS-232/422/485
● Digital signal processing, mixed signal, firmware development, inter-processor communication, timers, and interruption handling.
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