Faruk Efe Yencilek
Oakville,ON
Summary
Main areas of interest include Machine Learning, Computational Biology, and Back-end Development. 2x participant in the International Genetically Engineered Machine (iGEM) competition. Admitted into various top universities of Canada, most notably University of Toronto, McGill University, and McMaster University.
Overview
4
4
years of professional experience
1
1
Certification
Work History
Dry Lab Modelling Researcher
SynBio @ McMaster
Hamilton, Canada
11.2024 - Current
- Participating in the iGEM Competition as an undergraduate team from McMaster University
- Data Science & Machine Learning: Building mathematical models to describe gene expression and transduction systems using Neural Network Models, Support Vector Machines Flux-Balance Analysis, and MATLAB simulations
- Full-Stack Development: Building a full stack webpage to display our project using Django + Python in the back-end, and React + TypeScript & Tailwind in the front-end.
Computer Vision Engineer
RoboMaster @ MacFalcon
Hamilton, Canada
10.2024 - Current
- Participating in the RoboMaster competition organized by DJI and sponsored by Nvidia, held across China, Canada, and the U.S
- Building custom CNN (Convolutional Neural Network) that allows the competition robot to track down opponents using TinyGrad (similar to PyTorch)
- Data Engineering: Program a dataset pipeline by fine-tuning Hugging Face models for autolabelling image datasets using PyTorch, Transformers, Moondream
Web Developer & Researcher
iGEM Competition
Istanbul, Turkey
11.2020 - 11.2021
- Used React, JavaScript, HTML & CSS to build the project web application
- Conducted synthetic biology research using NCBI, and designed recombinant DNA using BLAST and Benchling
- Our team was awarded the silver medal out of 300+ participant teams
Education
Bachelors of Computer Science (CO-OP) -
McMaster University
Hamilton, ON05.2027
High School Diploma -
Lakefield College School
Lakefield06-2023
Skills
- Python
- JavaScript & TypeScript
- Reactjs Vite
- HTML & CSS
- Swift & XCode
- Java
- Git
- Flask & FastAPI
- Tensorflow / PyTorch
- HuggingFace
- Scikit-learn
- NumPy Matplotlib Pandas
- Nodejs & Expressjs
Projects
Convolutional Neural Network Classifying Brain Tumor
- Developed a Convolutional Neural Network model using Tensorflow that classifies the brain tumor into categories from the MRI image.
- Demonstrated Machine Learning skills such as optimization, pruning, regularization, convolution, and feature engineering.
- Resulting model reached above 90% validation accuracy.
Webpage for iGEM
- Used React.js, Javascript, HTML & CSS to build the competition team webpage.
- We were awarded the silver medal after the project webpage launch.
Certification
- Machine Learning Specialization on Coursera (Stanford University & DeepLearning.AI): Supervised & Deep Learning Algorithms, Unsupervised Learning Technologies i.e. Reinforcement Learning, K-means (Clustering), Recommender Systems
Languages
English
Native/ Bilingual
Turkish
Native/ Bilingual
French
Professional
Timeline
Dry Lab Modelling Researcher
SynBio @ McMaster
11.2024 - Current
Computer Vision Engineer
RoboMaster @ MacFalcon
10.2024 - Current
Web Developer & Researcher
iGEM Competition
11.2020 - 11.2021
Bachelors of Computer Science (CO-OP) -
McMaster University
High School Diploma -
Lakefield College School
Similar Profiles
OMAR MOHAMMEDOMAR MOHAMMED
Volunteer at Mcmaster University REPVolunteer at Mcmaster University REP
Maysin Beaucage-CouchieMaysin Beaucage-Couchie
Casual Team Member at McMaster HospitalityCasual Team Member at McMaster Hospitality
Hector GonzalezHector Gonzalez
Small Package Handler at McMaster-CarrSmall Package Handler at McMaster-Carr