About me

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I'm a Machine Learning Engineer and Data Scientist with over 4 years of experience building impactful AI solutions. As a Computer Science graduate from USC specializing in AI, I've developed deep expertise in natural language processing, computer vision, and AI infrastructure development. Throughout my career spanning startups, research labs, and industry, I've focused on translating complex technical concepts into practical solutions that drive business value. My passion for innovation and research has led to more than 20 publications in top-tier conferences and journals, garnering over 700 citations on Google Scholar. I thrive on tackling challenging problems at the intersection of cutting-edge AI technology and real-world applications.

Conferences/Workshops: ICLR, ACL, NeurIPS, WACV, ECML, KCap, CODS-COMAD, GLOBECOM, MOBICOM, 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.

To give back to the community, I write articles detailing things I have learned and post them on Medium. If you are a data science aspirant, please check out my Medium account.


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
Jamie McInally LinkedIn
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
Filip Ilievski LinkedIn
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
Chirag Sharma LinkedIn
Product Manager @ Reliance Retail
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
Anil Goyal LinkedIn
Senior Research Scientist @ Amazon
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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