top of page
38fabab4-8bd6-411e-a335-7e4dec801902.JPG

Alex Ciechonski

About Me

Alex Ciechonski: A Profile in Engineering, Entrepreneurship, and Curiosity

Originally from Warsaw, Poland, Alex Ciechonski completed his A levels in 2022,  in Mathematics, Further Mathematics, and Physics. His fascination with physics and its practical applications of mathematics led him to pursue a degree in electronic and electrical engineering at UCL, driven by a passion for robotics and innovative technologies. Aside from being a student, Alex also freelances providing machine learning and data science services to early-stage startups. At UCL, he founded the Product Development Society and currently holds the role of President, where he organises speaker events with most skilled product managers and owners to unravel insights about most groundbreaking technologies In his leisure time, Alex enjoys weightlifting and reading about human psychology.

Projects

Automated Waste Sorting System

Waste sorting companies currently face the challenge of hiring labour to manually separate non-recyclable from recyclable waste, incurring substantial expenses. Over the long term, this labour-intensive process hampers operational efficiency and increases costs, impacting the sustainability of recycling efforts.

 

To solve this, I developed an automated waste sorting device that employs computer vision technology to visually identify non-recyclables and aerodynamic size-based segregation to separate waste. This solution reduces labour costs, enhances recycling accuracy, and streamlines the process, ultimately contributing to more sustainable recycling operations. Two successful pilot tests have validated its effectiveness and adaptability to different country-specific regulations.

separation-sorting-technology-recyclinginside.jpg

Cryptocurrency Trading Bot

crypto-article.jpg

In response to the extreme volatility of cryptocurrencies, my friend and I joined the Trality 2022 Trading Bot competition, where we engineered a cutting-edge trading bot capable of simultaneously trading 12 different cryptocurrencies. This project aimed to provide a robust solution to the challenges posed by cryptocurrency price fluctuations. Our bot's resounding success, clinching 1st place in the competition, showcased the potential of algorithmic trading strategies in navigating the cryptocurrency market's turbulence, highlighting the significance of technology-driven approaches in overcoming volatility-related challenges.

Investigating traffic pollution

During my A-Levels, as my Extended Project Qualification, I investigated traffic pollution using a self-made automated wireless network of smog sensors. As it was my first such project, I had to teach myself every skill that was necessary: coding in C, designing sensors from scratch and wireless communications using technologies such as Wi-Fi, Bluetooth or GSM. The project gave me a solid foundation to learn more about the smart home industry. I received an A* and a Gold CREST award for my EPQ. Moreover, the results of the investigation were published in an article on a popular Polish news platform and I was invited to the Polish TV to talk about environmental issues.

Kishimoto-Transportation-China-Air-Pollution-MIT-00_0.jpg

Flight Controller PCB for Drones

3f88dd31-40fd-461b-a76e-0d126b272f08-1.webp

My interest in drones and their commercial application prompted my interest for designing electrical components for drones- mainly flight controller boards. These hands-on experiences allowed me to delve deep into the intricacies of drone technology, offering insight into the critical role that flight controllers play in drone performance and stability. Through this project, I gained a solid understanding of PCB design, electronic components, and firmware development, contributing to my expertise in the field of unmanned aerial vehicles.

Siemens Letter of Recommendation

Alexander Ciechonski completed a professional internship at Siemens, Warsaw in February-May, 110 hours in total. The internship covered the design of artificial neural networks, the development of the application of Al, the practical application of artificial intelligence in an industrial environment, machine design in a 3D environment, and design support for an intelligent transporter (LiBelt). Alexander showed analytical abilities, creativity and independence in carrying out all the projects he was tasked with. 

Alexander is a very knowledgeable student with a real passion for science and its practical applications. He is a fast learner, always ready to learn new skills or methods. He adapted extremely well to Siemen's fast-paced, highly technical professional environment and in no time became a valuable team member. Not intimidated by the older peers, he was always ready to share his ideas with the team. His insights were welcomed and as they were relevant and offered a different welcomed perspective. When it comes to his work ethics, Alexander was a disciplined person with high organizational culture and communication skills.

bottom of page