# SAHIL PATTNI > [!info] +971 55 482 3157 ⋄ Dubai, United Arab Emirates > sahilpattni97@gmail.com > [LinkedIn](www.linkedin.com/in/sahilpattni/) $\cdot$ [GitHub](github.com/Sahil-Pattni) --- ## EXPERIENCE #### Production Manager **Al Joury Jewellers Smith (Sharjah, U.A.E.)** August 2022 - Present - Developed an online product catalog with attribute-based filtration capabilities, using AWS Lightsail, AWS S3 and MySQL. - Handled B2B marketing content of high-end jewelry, from content strategy, to product photography and final touch ups, leading to a $\approx 35\%$ increase in direct-market sales. - Introduced and implemented 3D-Printing and laser cutting techniques into the manufacturing process, allowing for a more complex range of jewelry to be produced. #### Machine Learning Engineer Intern **Rayca Precision (Remote)** March 2022 - July 2022 - Developed a deep learning classifier trained on RNA sequence data to classify cancer subtypes, achieving a weighted average precision score of 96%. - Engineered a data pipeline to compile RNA sequence data from various sources and formats. - Applied ANOVA F-Tests and Chi-Squared feature selection techniques to improve model training time by 60%. - Used MLFlow to optimize hyper-parameter tuning, improving the model’s accuracy by ≈ 20%. - Built a RESTful API service to serve the model, via Flask. --- ## EDUCATION #### Masters of Science in Applied Computer Science **Concordia University** — Montreal, Quebec (Sept 2022 - May 2024) Relevant Coursework: Algorithm Design Techniques, Machine Learning, Computer Vision, Distributed Systems Design, Software Refactoring, Advanced Database Technology & Applications. #### BSc. in Computer Science **Heriot-Watt University** — Dubai, U.A.E. 2017 - 2021 Graduated with First Class Honours. Awarded the Deputy Principal’s Award (2017 & 2021) for academic excellence. --- ## SKILLS - **Programming Languages:** Python, Java, JavaScript - **Database Technologies:** SQL, MySQL, PostgreSQL, SQLite, MongoDB - **Tools:** Git, Jupyter, LaTeX, AWS (Lightsail, S3, Route 53) - **Frameworks:** NumPy, Pandas, PyTorch, TensorFlow, Streamlit - **Machine Learning:** Neural networks, RNN, CNN, NLP, sequence models, computer vision, classification, regression, clustering. --- ## SELECTED PROJECTS ##### [[Market Basket Analysis with Graph Theory]] Introduced and examined an improvement to a novel approach for generating association rule item-sets via minimum spanning trees. Used Markov Clustering to capture associations between sets of items from the tree on a retail database of $\approx 1.4$ million transactions. ##### [[TMDb Movie Sorter]] Built a program that synchronizes a user’s Plex library with a list on The Movie Database website. The program then sorts the list on the TMDb website by the dominant color of the movie poster, which is determined via K-Means clustering. ##### [[NYT Wordle Solver]] Created an automated application using Java and Selenium that opens a browser instance and solves the daily NYT Wordle puzzle. ##### [[Equity Analysis]] Created a dashboard that displays fundamental data, income and balance sheets, as well as an interactive candlestick chart for any publicly traded company. ##### [[Micro-Electronics]] Developed several smart-home devices using the ESP32 family of micro-controllers, such as CO2/VOC monitors, presence detection via radar, and ambient weather conditions tracking stations.