About
Highly analytical and results-driven professional with an interdisciplinary background in Mechanical Engineering, Physics, Artificial Intelligence, and Machine Learning. Proven ability to drive product development, conduct advanced research, and optimize complex systems. Experienced in data analysis, computational modeling, and implementing AI/ML solutions to achieve quantifiable improvements and strategic insights. Seeking to leverage expertise in product management, research, and engineering to solve challenging problems and contribute to innovative solutions.
Work
Summary
Drove AI product development and accessibility initiatives as a Product Management Intern.
Highlights
Authored Product Requirements Documents (PRDs) and managed release cycles, enhancing AI product accessibility through a developed user guide website.
Collaborated cross-functionally on product planning, development, and deployment, ensuring seamless integration and delivery across teams.
University of British Columbia
|Research Intern (Machine Learning-Based Defect Detection in Wind Turbines)
Summary
Conducted research on machine learning applications for defect detection in wind turbines.
Highlights
Executed advanced computational modeling and simulations of wind turbines using Ansys Fluent and machine learning techniques.
Analyzed acoustic signatures via simulation to develop predictive maintenance strategies, improving operational efficiency and reducing downtime.
BITS Pilani
|Thesis Researcher (Machine Learning and Artificial Intelligence Applications in Food Industry)
Summary
Performed a comprehensive systematic review on ML and AI in the food industry.
Highlights
Conducted a comprehensive literature review on ML and AI applications in the food industry using the PRISMA technique, incorporating scientometric and content analysis.
Analyzed 192 AI/ML papers, establishing research and analytical classifications, highlighting key trends, algorithm performance, and identifying critical research gaps for future directions.
Summary
Managed electricity fluctuations and optimized energy storage solutions.
Highlights
Calculated hourly electricity receipt and consumption patterns to forecast peak and off-peak periods for 2025.
Proposed and optimized time-of-use energy storage solutions, resulting in projected savings exceeding 10 crores by optimizing energy use processes.
AV Engineers
|Internship (Design and Manufacturing of Suspension and Steering for All Terrain Vehicles)
Summary
Contributed to the design and manufacturing of critical vehicle components.
Highlights
Researched critical system parameters to design a high-performance vehicle for the SAE BAJA competition.
Simulated vehicle models using VSUSP and Fusion 360, executing detailed steering, shock, and damping calculations.
Summary
Developed custom applications and managed data within the Salesforce ecosystem.
Highlights
Developed custom applications and web components, managed security operations, and performed data modeling and analysis within Salesforce.
Completed modules on automation processes, workflows, and APIs to enhance understanding of organizational operations and system integration.
Education
Bachelor of Engineering (B.E.) & Master of Science (M.Sc.)
Mechanical Engineering and Physics
Grade: 8.26/10.0
Courses
Supply Chain Management
Technical Report Writing
Engineering Optimization
Manufacturing Management
Symbolic Logic
Pattern Recognition
Organizational Psychology
Publications
Skills
Programming Languages
Python, SQL, MATLAB.
Data Analysis & Visualization
Tableau, ETL, Advanced Excel, Pandas, Numpy, MySQL.
Machine Learning & AI
Machine Learning, CNN, ResNet, Optuna, Artificial Intelligence.
Engineering & Simulation
Ansys, Fusion 360, Simulink, MiniTab, VSUSP, Computational Fluid Dynamics (CFD), Hydrodynamic Noise Analysis.
Product & Project Management
Product Requirements Documents (PRDs), Release Cycles, Product Planning, Project Management.
Version Control
Git.