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Harsh Singhal
I solve business problems with data+algos | ML@Adobe | Led the ML team at Koo | Prev at Netflix, LinkedIn California | Relocated to Blr 2021 | Visiting faculty at MSRIT | LLMs are epistemology probes
Harsh Singhal is a seasoned professional with over 16 years of experience in Machine Learning, Data Science, and Artificial Intelligence, having worked at prestigious companies like LinkedIn, Netflix, and Palo Alto Networks.
His expertise lies in NLP, Computer Vision, Python, PyTorch, Keras, Spark, and AI/Analytics services from AWS, GCP, and Azure, as well as specializing in MLOps tools like MLFlow, Ludwig, BentoML, ONNX, and Milvus.
Harsh is known for his ability to build and scale high-performance teams, demonstrated during his tenure at Koo where he led the expansion of ML/Data Science teams. He is also passionate about mentoring the next generation of data science leaders.
Throughout his career, Harsh has successfully applied ML/AI techniques to solve various business challenges such as bot and spam detection, sales product recommendation, and account takeover prevention.
He holds patents in areas like bot detection and threat detection and has publications in esteemed forums like the IEEE Systems, Man, and Cybernetics Society. Harsh also maintains an online publication, datascience.fm, with a significant user base and contributions from both students and industry professionals.
In addition to his professional endeavors, Harsh is an author of an ebook titled 'How to build a data product for people who own a keyboard' and the developer of molecule-search.com, catering to medicinal chemistry enthusiasts by utilizing vector similarity search and ChatGPT based patent summary.
Harsh has a strong educational background, holding a Master's degree in Industrial & Systems Engineering from Rutgers University and a Bachelor's degree in Industrial Engineering & Management from Ramaiah Institute Of Technology.
His professional journey includes roles such as ML @ Adobe, Visiting Professor at Ramaiah Institute Of Technology, Head of Machine Learning & AI at Koo India, Data Science & ML@ Netflix, Principal Data Scientist at Palo Alto Networks, among others.
Harsh's varied experiences and accomplishments reflect his flexibility, adaptability, and innovative approach in tackling complex business problems and fostering advancements in the field of data science.
Through his YouTube channel, Harsh shares insights and knowledge with his audience, further establishing himself as a thought leader in the industry.