My Experiences
Research Work
2024 - 2025
Graduate Research Student
Carnegie Mellon University
Pittsburgh, PA
Anomaly Detection for Time Series Data
Experimenting with Tennessee Eastman Product dataset applying a range of models covering semi-supervised and supervised learning ranging from classic ML models to autoencoders to transformers either to classify faults or to predict if its a faulty sequence or not.
Published this work as a preprint -https://chemrxiv.org/doi/full/10.26434/chemrxiv.10001628/v1
2022 - 2024
UG Research Student
IIT Gandhinagar
Gandhinagar, Gujarat, India
Quantifying Dropwise Condensation using Computer Vision
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With a goal to determine the overall heat transfer in a dropwise condensation process purely in a computational way, we applied basic computer vision techniques coupled with nearest neighbor search to track the growth rate of droplets - a crucial factor in the heat transfer calculation.
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Presented this work at the International Conference on Micro and Nano Flows in 2023.
Corporate Stints
2025
Software Intern - Data Science
Magna International Inc.
Troy, MI
Developing a digital twin to simulate the intra factory movement of autonomous mobile robots in a software called Gazebo, which with ROS noetic framework runs the bot operations to test bot missions in a faster, safer, and thus more efficient way. Engineering a web-based tool to determine the optimal size of a fleet of forklifts taking into account real world constraints like operator shift delays, device downtime, replenishment time, etc. with an aim to increase the device utilization per day by at least 5% with a delay margin of up to 3 delayed tasks compared to the current status.
2022
Business Risk Analyst Intern
Ernst & Young
Pune, MH, India
Analyzed the amended prices of purchase orders in the inventory data of a client to explore the possible causes of the same after appropriate EDA. Initial understanding of procurement-to-pay and order-to-cash cycles was also required to correctly interpret the client data. Presented the visualization of potential loopholes to the client via Tableau dashboards.
Education
2024 - 2025
CARNEGIE MELLON UNIVERSITY
MS AIE - Chemical Engineering
Pittsburgh, PA, USA
Courses - Introduction to Machine Learning with Adversaries in Mind, Systems and Tool Chains for AI Engineers, Advanced Computer Vision, Introduction to Deep Learning, Intermediate Deep Learning, Trustworthy AI, Visual Learning and Recognition, Mathematical Modeling, Process Systems Modeling, Advanced Transport Phenomena
2020 - 2024
IIT GANDHINAGAR
B.Tech Chemical Engineering
(Minor - Computer Science and Engineering)
Courses - Data Structures and Algorithms, Introduction to Machine Learning, Operating Systems, Introduction to Computer Science, Process Control, Process Simulation and Analysis, Process Synthesis and Design, Heat and Mass Transfer
Gandhinagar, Gujarat, India
Skillset
Data Processing &
Visualization
Image Processing & Computer Vision
Growth Mindset
English (proficient)
Marathi (native)
Machine Learning/ Deep Learning/ LLMs
Teamwork & Collaboration
Taking Initiative
Hindi (proficient)
German (beginner)