Simardeep Singh Mehta
@simardeepsinghmehta
MS CS student focused on ML and DevOps with MLOps intern experience in RAG systems and AWS.
What I'm looking for
I'm Simardeep Singh Mehta, a Master’s student in Computer Science at NYU Tandon School of Engineering, with a focus on machine learning, cloud computing, and MLOps. My academic journey includes specialized coursework in Big Data, Machine Learning, and Computer Vision, and I've maintained a 4.0 GPA, reflecting my dedication to both learning and technical excellence.
Professionally, I've worked at American Institute for Research as an MLOps intern, where I architected machine learning pipelines and optimized document retrieval using Retrieval-Augmented Generation (RAG). I’ve also contributed to Ernst & Young and OnePercent Software, developing AI-powered solutions and scalable cloud architectures. My projects, such as a food delivery AI and a fashion recommendation system, highlight my ability to build innovative and impactful technologies. I'm passionate about leveraging AI and cloud computing to solve complex challenges and make a significant impact in the tech industry.
Experience
Work history, roles, and key accomplishments
MLOps Intern
American Institute for Research
May 2023 - Aug 2023 (3 months)
Architected and implemented an MLOps pipeline using Flask and ChromaDB, integrating with AzureOpenAI for a Retrieval Augmented Generation (RAG) system, enhanced with re-ranking methods to ensure semantically meaningful document chunks are fetched, resulting in a 25% improvement in document retrieval efficiency.
Data Science Intern
Ernst & Young (EY)
Jun 2022 - Aug 2022 (2 months)
Built an end-to-end ETL pipeline using AWS Glue and Lambda to process 3TB+ of financial data daily with 99.9% accuracy, refining data by correcting outliers and handling missing values, while integrating automated analysis and visualization with AWS QuickSight and SageMaker to ensure data quality compliance.
Software Engineering Intern
OnePercent Software LLC
Apr 2022 - Jun 2022 (2 months)
Collaborated with the Machine Learning team to implement a reinforcement learning model using TensorFlow to dynamically adjust game difficulty in a mobile game, leading to a 25% increase in user retention.
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Simardeep Singh hasn't added their education
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