Experience

Cartesia AI

Member of Technical Staff, Jul 2025 – Present

Working on cutting-edge Infrastructure and AI systems at a leading AI research company working in the domain of voice.

ThoughtSpot

Staff Engineer (2024–2025), Senior MTS (2023–2024), MTS (2019–2023)

Built large-scale ML systems and data analytics platforms. Contributed to the development of Spotter, an agentic framework for natural language data interactions using RAG + LLMs. Designed Cortex, an ML platform serving ThoughtSpot's time series analytics use cases.

Patent: Insight Mining using Machine Learning

Indian Institute of Technology Kanpur

B.Tech in Aerospace and Electrical Engineering, 2014–2019

Focused on robotics, control systems, and computer vision. Active in competitive robotics including autonomous underwater vehicles, ground vehicles, and aerial systems.

NYU Control/Robotics Research Lab

AI Research Intern, Summer 2018

Developed reinforcement learning frameworks for robotic systems. Built an OpenAI Gym-inspired platform for training robots in simulation using ROS and Gazebo, exploring challenges in sim-to-real transfer.

Quazar Tech

Research Intern, 2017

Designed electronics and firmware for scientific instrumentation including scanning tunneling microscopes and atomic force microscopes.

Publications:

• Vision-based autonomous tracking and landing of a fully-actuated rotorcraft. Control Engineering Practice [PDF]
• Convolutional Neural Network Based Sensors for Mobile Robot Relocalization. IEEE MMAR [PDF]
• Autonomous Detection and Tracking of a High-Speed Ground Vehicle using a Quadrotor UAV. AIAA Scitech

Competitions: 2nd & 3rd place at International Intelligent Ground Vehicle Challenge (2019), 3rd place at National Robocon (2016).