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I am a fourth-year undergraduate at Carnegie Mellon University, studying Computer Science with a minor in Human-Computer Interaction. I am passionate about ideas and building technologies at the intersection of caregiving/healthcare.

 

I am an undergraduate researcher at the Robotic Caregiving and Human Interaction Lab, working with Professor Zackory Erikson on software and hardware development and evaluation of assistive robotic interfaces for people with motor impairments. One of my papers won a Best Paper Award at the Human-Robot Interaction (HRI) Conference 2024. I also serve as Undergraduate Coordinator for the lab.

Previously, I was a Software Engineering Summer Analyst at Goldman Sachs, where I worked on AI tools integrated into an internal Banker Copilot for Mergers and Acquisitions under their Investment Banking Engineering division. Before that, I was a Software Engineer Intern at Palo Alto Networks on the AI Runtime Security team, where I worked on guardrails to ensure the safety of LLM-integrated applications.

Outside of tech, I am a trained Odissi (Indian classical) dancer and currently serve as Senior Advisor for CMU Abhinaya, Carnegie Mellon University's competitive Indian classical dance team. I have previously served as President and Vice-President.

Find me: Email | LinkedIn | GitHub | YouTube | Google Scholar

Press features: The Tribune Review Pittsburgh Post Gazette | CMU News

Publications

*authors contributed equally

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Independence in the Home: A Wearable Interface for a Person with Quadriplegia to Teleoperate a Mobile Manipulator

Akhil Padmanabha, Janavi Gupta, Chen Chen, Jehan Yang, Vy Nguyen, Douglas J. Weber, Carmel Majidi, Zackory Erickson

ACM/IEEE Human-Robot Interaction (HRI) Conference 2024

Best Paper Award in Systems

[ PDF | Website | Code | IEEE Spectrum | CMU News | Pittsburgh Post Gazette ]

Detecting Anaemia Using Machine Learning and Computer Vision

Janavi Gupta, Reetu Jain, Mohan Kshirsagar, Shekhar Jain

Journal for Software and Hardware Research in Engineering, August 2021

[ PDF | Code ]

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Projects

my brief foray into hardware

Tetris

18-095 Final Project

Hardware Used: 16x32 Adafruit RGB Matrix Panel (x1), Arduino UNO (x1), Arcade Style Buttons (x5)

Built with an Arduino UNO controlling a 16×32 RGB matrix panel for the display and five arcade buttons wired for movement, rotation, and game control. Developed in Arduino C, with custom code handling piece generation, rotation, collision detection, line clearing, and scoring to fully replicate classic Tetris.

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Touchless Elevator Buttons

18-095 Midsemester Project

Hardware Used: Infrared Sensors (x2), Arduino UNO (x1), LEDs (x2), LCD 16x2 Display (x1), Servo Motors (x2)

Arduino UNO connected to two infrared sensors for touchless input, LEDs for feedback, a 16×2 LCD display for status output, and two servo motors to simulate elevator movement. Programmed in Arduino C to detect hand gestures over the sensors and trigger the corresponding LED, LCD message (“Going Up” / “Going Down”), and servo motion to emulate elevator controls.

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CMU Abhinaya

cmu's competitve indian classical dance team!! check out the slay instagram <3

Junior Year (24-25) | Captain

Dances: Ramayanam playing Lakshmana in the Fall and Ravana in the Spring (14 mins), Aigiri Nandini (2.5 mins), Basant Pallavi: an Odissi piece (8 mins)

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Fostered a more close-knit and organized team culture, improving both logistical coordination and financial management compared to previous years. Collaborated with the executive board to plan and execute a two-hour showcase featuring performances by both team members and guest student groups and raising 350$ in donations through ticket sales.

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Sophomore Year (23-24) | Assistant Captain

Dances: Elements of Nature (4.5 mins), Ananda Tandavam (5 mins)

Developed the team’s first Fall theme showcasing multiple Indian classical dance styles, enabling members to choreograph in their own styles while learning from others. Introduced open workshops to engage non-classical dancers and broaden exposure to Indian classical dance forms within the community.

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Freshman Year (22-23) | Member

Dances: Story of Karna (2.5 mins), Classical-Bollywood Fusion (4 mins)

Got recruited as the first-ever Odissi dancer on the team only to learn Bharatnatyam for the first time after doing almost 13 years of Odissi. Consequently, did my first-ever Bharatnatyam performance for Diwali! ​

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Conferences

Copyright © 2025 Janavi Gupta | Last Edited: August 2025

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