Dipkumar Patel

Experienced senior data scientist with strong publications and research history in field of AI

Toronto, Ontario, Canada

Research Interests

Generative AI

Multi-modal large language models

Large Language Models (LLMs)

Deep learning

Marketing Mix Modeling

About

Highly skilled professional with extensive education and experience in the field of AI. I have a strong academic background, and has an extensive experience working for 7 years in the industry innovating and applying state of the art AI solutions. I am dedicated to continuously expanding my knowledge and skills in order to stay at the forefront of the ever-evolving field of AI (At present, large language models). I have a strong experience of using researching in **Generative AI, LLMs, RAG, and RLHF**.

Publications

Deep Learning for Unmanned Autonomous Vehicles: A Comprehensive Review

Deep Learning for Unmanned Systems / Jan 01, 2021

Khamis, A., Patel, D., & Elgazzar, K. (2021). Deep Learning for Unmanned Autonomous Vehicles: A Comprehensive Review. In Studies in Computational Intelligence (pp. 1–24). Springer International Publishing. https://doi.org/10.1007/978-3-030-77939-9_1

Road Boundary Detection using Camera and mmwave Radar

2022 5th International Conference on Communications, Signal Processing, and their Applications (ICCSPA) / Dec 27, 2022

Patel, D., & Elgazzar, K. (2022, December 27). Road Boundary Detection using Camera and mmwave Radar. 2022 5th International Conference on Communications, Signal Processing, and Their Applications (ICCSPA). https://doi.org/10.1109/iccspa55860.2022.10019159

Education

University of Ontario Institute of Technology

Masters of Applied Science (MASc), Electrical and Computer Engineering / February, 2022

Oshawa, Ontario, Canada

Gujarat Technological University

Bachelors of Engineering, Electronics and Communication engineering / June, 2015

Ahmedabad

Experience

Sanofi

Senior Data Scientist / July, 2022 — Present

Led collaborations with industry giants like Amazon, Microsoft, Nvidia, and HuggingFace to enhance sales team efficiency and BOI. Implemented cutting-edge techniques from top publications in AI, focusing on transformer models and RLHF. Directed a team to optimize LLM models for GenAI project, enabling solutions like content tagging and workflow automation. Developed RAG pipelines and a vector database to bolster generative AI accuracy. Implemented RLHF pipeline and data preprocessing for sensitive content filtering. Evaluated tokenizers' impact on model performance and devised Bayesian MMM, optimizing promotional budgets by 3% and boosting revenue by ~2%. Utilized microsegment enrichment for personalized HCP engagement and developed A/B testing and causal inference tools for model monitoring across commercial AI projects.

ReiPower

Machine Learning Engineer / December, 2021 — June, 2022

ReiPower, a government-funded startup, targets carbon footprint reduction in buildings. Leveraged BERT to create a conversational agent, offering stakeholders insights on energy usage. Employed multi-modal deep learning and transformer-based embeddings to predict plant failures and optimize energy consumption, yielding a remarkable ~60% reduction in energy usage during pilot phase. Implemented a real-time ETL solution to handle streaming and storage of multimedia and sensor data from energy plant actuators.

Infosys

senior system engineer / July, 2015 — July, 2018

Streebo

senior technical consultant / July, 2018 — November, 2019

University of Ontario Institute of Technology

Teaching Assistant / January, 2020 — April, 2022

Research Assistant / January, 2020 — February, 2022

Links & Social Media

Twitter

LinkedIn

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