Result-oriented Machine Learning Engineer with a Ph.D. in (Bio-)Statistics from McGill University, specializing in machine learning and high-dimensional data analysis. I aim to leverage my expertise to drive innovation and solve complex data challenges in a dynamic team environment.With a strong foundation in applied mathematics and statistical physics, I bring advanced skills in algorithm development and computational statistics. My research has been featured in top publications, including Statistics and Computing and the NeurIPS Workshop on Efficient Natural Language and Speech Processing, showcasing cutting-edge advancements in machine learning, statistical computing, and natural language processing. These contributions, alongside presentations at international conferences, highlight my commitment to driving innovation and engaging with the global research community.My dedication to excellence, client-focused mindset, and strong work ethic have defined my professional journey, establishing me as a highly accomplished and trusted expert. I am eager to bring my expertise and proven track record to your organization. Please feel free to connect with me on LinkedIn to explore potential collaborations.
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Doctoral Researcher (Statistics And Machine Learning)Mcgill University Sep 2018 - Oct 2024Montreal, Canada Area• Conducted advanced research merging applied mathematics and machine learning, leveraging optimization, numerical analysis, and statistical physics.• Skilled in high-dimensional data analysis, boosting prediction accuracy by over 20%.• Developed and implemented novel AI/ML algorithms for large datasets on Compute Canada’s cloud computing platform, reducing processing time by 80% through advanced numerical optimization algorithms.• Develop Python package nonconvexAG, fastHDMI, etc. • Implemented deep learning projects using Python, PyTorch, and Keras for stock price prediction, data compression, etc.• Implemented innovative methods to improve feature selection accuracy by 30%.• Validated new methods through simulations and real-world data. • Produced dozens of data analysis reports utilizing decision trees, clustering, and advanced AI/ML techniques.• Collaborated with cross-disciplinary teams to apply research to real-world challenges.• Published and presented research at leading conferences and journals. -
Researcher In Large Language ModelsQuantum Technology Recruiting Inc. (Qtr) Jun 2024 - Sep 2024Montreal, Quebec, Canada• Developed and validated new architectures based on GPT, BERT, and LLAMA, using techniques including LoRA, enhancing generative AI performance by 40%.• Utilized PyTorch, Hugging Face, Transformers, among other libraries, to optimize AI/ML models.• Collaborated with cross-functional teams to tackle complex AI/ML challenges.• Running comprehensive simulations and experiments to validate and optimize models. -
Data Scientist (Mitacs Accelerate)Plotly Sep 2019 - Jun 2020Montreal, Quebec, Canada• Implemented efficient interpretable ML models to analyze datasets with over 0.5 million observations and 5 million variables.• Developed interactive web interfaces for data visualization, enhancing user engagement and insight discovery.
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