CV
Education
- M.S. in Mechatronics and Robotics, New York University (NYU), 2023–2025
- B.E. in Mechanical Engineering, Osmania University, 2019–2023
Experience
RPD, LLC
Mechanical Engineering Intern
Easton, United States — Jan 2025 – May 2025
- Led mechanical design and validation for 5+ clients, driving new product introduction (NPI) from concept to production release for high-volume manufacturing (50K–100K+ units annually) using injection molding, CNC machining, and sheet metal fabrication.
- Designed test fixtures for V&V and a chip-on-glass LED illumination device for a biosafety cabinet, optimizing thermal dissipation by 78% and simplifying assembly to reduce COGS.
- Negotiated and partnered with U.S. manufacturers to cut product launch timelines by 80% and lower costs by 25%; coordinated DFMA with vendors to ensure rapid iteration, and prepared 2D drawings and BOMs to support manufacturing.
CooperSurgical, Inc
New Product Development Intern (R&D)
Trumbull, United States — May 2024 – Aug 2024
- Initiated and prototyped Auto Integra, an automated ICSI micromanipulator with ±2µm precision and CV-based embryo segmentation; improved conception rates by 126.2%.
- Engineered a magnet-Hall sensor system to detect IVF incubator lid position, optimizing Neodymium magnet placement to improve gas purge efficiency by 83%.
- Authored bench test protocols, led usability studies, and supported packaging for Class III IUDs in cross-functional FDA NDA-stage projects.
Kia India Pvt. Ltd.
Vehicle Quality & Engineering Intern
Ananthapur, India — Feb 2023 – May 2023
- Eliminated critical water leakage in Kia Carens by redesigning weatherstrip geometry, tailgate alignment, and drip channels; reduced defect rate from 62% to 0.
- Reduced Kia Seltos cowl assembly time by 40% through interface redesign; validated through thermal chamber testing and failure analysis.
- Boosted First Time Yield by over 70% and improved OEE by resolving sealing variation via die correction and SPC-based process control.
RE Sustainability Ltd.
Engineering Intern
Hyderabad, India — Jul 2022 – Aug 2022
- Evaluated RDF feed properties (moisture content, calorific value) to improve combustion efficiency, enhancing boiler thermal stability by 10%.
- Supported deployment of a drone-based deodorization system through field validation, route mapping, and odor monitoring, cutting complaints by 60%.
IIT Madras Research Park
Mechanical Design Intern
Chennai, India — Apr 2022 – Jul 2022
- Designed and modeled an autonomous cotton crop harvester for field deployment.
- Developed multiple end-effector concepts, including vacuum suction, roller plucker, and standard gripper mechanisms.
- Collaborated with a cross-functional team to fine-tune integration.
Technical Skills
- Mechanical Design: SolidWorks, CATIA V6, Siemens NX, Fusion 360; familiar with Creo & AutoCAD
- Simulation & Analysis: Ansys Workbench (FEA, CFD, Thermal), HyperWorks; GD&T (ASME Y14.5), Tolerance Analysis
- Manufacturing: CNC/Machining, Injection Molding, Sheet Metal Fabrication, 3D Printing (FDM, SLA), Laser Cutting, Welding, Forging, Soldering
- Testing & Validation: Six Sigma, SPC, DOE, FMEA, Root Cause Analysis, DFMA, Minitab, V&V
- Programming & Libraries: Python, C++, C, MATLAB, SQL
- Data Viz, PLM & Documentation: SolidWorks PDM, 3DEXPERIENCE, Microsoft Office, GitHub, Jira, Tableau
- Systems Integration: Simulink; Electromechanical Systems, Optomechanical Systems, Control Algorithms
Selected Projects
-
Stair Traversal and Exploration Platform (Spring & Fall 2024):
Led system integration and iterative development (8+ cycles) of NYU’s in-house bipedal humanoid robot with topology-optimized architecture. -
EMG-Controlled Prosthetic Arm (Fall 2024):
Fabricated a tendon-driven prosthetic arm using EMG signals for muscle-based actuation; handled sensor calibration, signal processing, and system integration. -
Adaptive Mountain Bike:
Designed a quick-release system for tool-less, one-handed seat and footrest adjustments, enabling rapid fit customization for disabled riders. -
Maze Solving Device:
Developed an autonomous robot using Raspberry Pi 4B, Arduino Uno, OpenCV, and BFS algorithm for real-time maze navigation.