Hi! I'm Amir Masoud!
ML Engineer / Data Scientist
W
elcome to my website! I wrote my first lines of C++ for AVR microcontrollers at 14, building robots with my high school team. That passion led me to a Master’s in Computer Engineering (2017), where I dove deep into Machine Learning, especially making sense of messy, incomplete data. Now, I am a Data Scientist at Vinted, improving search and reranking systems to help people find what they love, smarter and faster. I also share helpful stuff I learn throughout my journey on my Blog to simplify concepts in Machine Learning, Mathematics, Programming, and related topics.
When I'm not coding, you'll probably find me at the piano or lost in music!
Education
2015-2017M.Sc. in Computer Engineering
- Research Area:
- Data Mining
- Machine Learning
- Data Preprocessing
- Research Area:
2011-2015B.Sc. in Computer Engineering
Publications
Skills & Experience
Programming Languages
Proficient in:
Familiar with:
Databases
Tools & Technologies
Projects
- 2022, BulkBoto3: Python package for fast and parallel transferring a bulk of files to S3 based on boto3!
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2020-2022, As a Machine Learning Engineer in Eveince (formerly ParticleB):
- Developed "A framework to cut down the runtime of walk-forward optimization in algorithmic trading strategies by leveraging the parallel processing capability on the cloud architecture".
- Contributed to developing a Backtesting Framework that provides various tools for implementing and testing trading strategies such as fetching data, extracting features, training predictive models to generate signals, allocating assets, sizing the bets, executing orders, and evaluating portfolio performance.
- Implemented a parameter optimization service that periodically tunes parameters for algorithmic trading strategies.
- Developed a recommendation system to help FIDIBO (the largest digital platform of Ebooks, Audiobooks, and Podcasts in Iran) users discover personalized and relevant recommendations.
- 2020, AI-powered audio source separation (vocals/instruments) web application.
- 2020, 2D Landmark Detection & Robot Tracking using Graph SLAM (Simultaneous Localization and Mapping).
- 2020, Automatic image captioning service trained on the MS COCO dataset.
- 2020, Facial Keypoint Detection system that takes in any image with faces, recognizes and detects faces, and predicts the locations of 68 distinguishing keypoints on each face using Deep CNNs.
- 2019, A machine learning based system that gives insights about metrics of an organization.
- 2018, Designed and implemented a web-based appointment scheduling, accounting, and management system for a consultation institute to efficiently manage their 40k+ appointments, 9k+ transactions, and 4k+ clients.
Contact Me
Contact Info:
