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Manu Suryavansh
Generative AI Lead - Fine-tuning LLM's, RAG, Agents | ex-Uber
About
Manu S. is an experienced Data Scientist/Machine Learning Engineer with over 10 years of experience in systems design, product development, and solving hard engineering problems. He has worked on several successful products generating tens of millions in revenue. Manu has expertise in NLP, computer vision, and machine learning systems. He is currently working as a Staff Machine Learning Scientist at Intuit, where he is involved in developing the SmartReply system using BERT-based classification model and generative model, unsupervised topic modeling using transformer-based sentence embeddings, and data labeling using Zero shot Classification, and anomaly prediction in imbalanced datasets. Manu has previously worked as a Senior Machine Learning Engineer at Apple, where he built and deployed several time series forecasting models, BERT-based text classification models, semantic similarity-based search functionality using sentence embeddings, and finetuned language models like BERT and GPT2 for next word prediction. He has also worked as a Machine Learning Engineer at Wells Fargo, where he worked on NLP/NLU tasks like NER, intent resolution for chatbot using libraries like Pytorch, Tensorflow, Spacy, trained deep learning models for multiclass intent classification using language models like ELMO, BERT, and created API to serve models and integrated with database, encryption, and other services. Manu has a Master of Science degree in Electrical and Computer Engineering from the University of Florida and a Bachelor of Technology degree in Information and Communication Technology from Dhirubhai Ambani Institute of Information and Communication Technology. He has also completed courses in Blockchain from Blockchain University and various online platforms like Udacity and Coursera. Manu is proficient in programming languages like Python, Java, C/C++, and Python libraries like Transformers, Pytorch, Scikit-learn, Keras, Tensorflow, Catboost, Spacy, and cloud tools like AWS and GCP, Apache Spark, Kubernetes, Docker. He has also written several blog posts on Medium about ML/AI and is a regular contributor to the AWS Community Builder program. Overall, Manu S. is a highly skilled and experienced Data Scientist/Machine Learning Engineer with expertise in NLP, computer vision, and machine learning systems. He has a proven track record of developing successful products and solving hard engineering problems.
Education Overview
• blockchain university
Companies Overview
• apple
• uber
• intuit
• kaggle
• consulting
• coleman research
• insight data science
• ai
• analog inference
Experience Overview
6.2 Years
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