About me
I'm a passionate Machine Learning Engineer and Data Scientist with 4+ years of experience designing and deploying impactful AI solutions. I hold a Master's degree in Computer Science from USC (✌️) with a specialization in Artificial Intelligence, and have honed my expertise across natural language processing, computer vision, and AI infrastructure.
My journey spans startups, research labs, and industry, where I excel at transforming complex ideas into practical, business-driven solutions. I am deeply committed to innovation and research, with 25+ publications in leading conferences and journals, and 800+ citations on Google Scholar. I thrive on solving challenging problems at the intersection of advanced AI and real-world impact.
Conferences/Workshops: ICLR, ACL, NeurIPS, WACV, ECML, ECAI, etc. Journals: IEEE Internet of Things, Elsevier Future Generation Computer Systems, IEEE Transactions on Network and Service Management, etc.
I am deeply passionate about advancing the frontiers of Artificial Intelligence and Machine Learning, constantly exploring cutting-edge developments and innovative approaches. This intellectual curiosity drives me to not only master new technologies but also effectively bridge gaps between technical and business domains. My strong communication skills and collaborative mindset have enabled me to successfully lead cross-functional teams and deliver high-impact projects. I take pride in fostering an inclusive environment that encourages knowledge sharing and collective growth, having mentored junior engineers and contributed to building robust AI solutions that directly address business challenges.
I also enjoy sharing knowledge with the community. If you're interested in data science or AI, check out my articles and tutorials on Medium.
Skills
- Programming Languages: Python, C++, R, Matlab, SQL
- Development Tools: HTML, CSS, Javascript, Angular, NodeJS, SwiftUI
- Machine Learning & Deep Learning Frameworks: PyTorch, Tensorflow, Keras, ONNX, HuggingFace, NLTK, OpenCV, Spacy, LangChain, Scikit-learn, Flask, PySpark, MLFlow
- Tools: Databricks, Weights & Biases (wandb), Jenkins, Gradio, Git, Docker, OpenVINO, SonarQube, Postman, Google Analytics
- Cloud Platforms: AWS (EC2, S3, Lambda, SageMaker, RDS) and GCP (Compute Engine, Cloud Storage, Cloud Functions, BigQuery)
Recommendations
Jamie McInally
CEO of Autoenhance.ai
Working with Prateek has been a pleasure. Working in a startup with a small team requires everyone to think on their toes and deliver quality consistently and quickly. Prateek was always keen to get involved with any challenge and communicated his ideas and results well to the team. He has a broad and in-depth understanding of computer vision and AI and is always keen to explore new and novel ways to improve the product.
Filip Ilievski
Assistant Professor (Sr.) at VU Amsterdam
Prateek worked with me as a research assistant for 1.5 years at USC's Information Sciences Institute, on several projects covering both interactive text-based tasks and computer vision tasks. Prateek came in already as a mature researcher, with the most solid publication history of a Master's student I've ever seen. Week by week, he was extremely respectful, hard-working, and very well-organized. His reports were always extensive with experimental results, findings, and future steps. Besides coding and discussions, he also excelled in writing - he has a clear and informative writing style, at the level of a third-year PhD student. Finally, he is a great team player, very understandable and constructive in the research process.
Chirag Sharma
Product Manager @ Jio Platforms
I managed Prateek at Housing.com for a couple of years. His work and die hard problem solving attitude always impressed his stakeholders. Every project given to him had elements of complexity which he navigated very well. Prateek's technical skills, his ability to learn on the go and research driven attitude are going to take him a long way. He will definitely be an asset to any team he joins!
Anil Goyal
Principal Data Scientist @ Mastercard
Prateek is a meticulous data scientist and brilliant researcher. He has a deep understanding of data science concepts and understands how machine learning can generate value for real-world problems. We have collaborated on multiple projects (Image classification, fraud detection, etc.) and submitted multiple research papers at top conferences. I wish him all the best and success for his future career.
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