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Driven by
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My Intro

Education

  • Cornell University, Ithaca, NY Expected Graduation 2026
  • B.S. in Electrical and Computer Engineering, Minor in Computer Science; GPA : 3.88:
  • Relevant Coursework: Embedded Systems, Computer Systems Programming, Circuits, Digital Logic and Computer Organization, Electromagnetism, Machine Learning, Data Structures and Algorithms
  • Website: https://rohankall.com/
  • Email: rak298@cornell.edu
  • Phone: ƒ 617-401-6581

My Skills

Languages/Database:

C, C++, Java, Python, MATLAB, R, Verilog, OCaml, Bash, SQL, Latex Scientific computing

Platforms:

Altium, Git, Autodesk Fusion 360, EAGLE, Arduino ESP32

Libraries :


Numpy, Matplotlib, Pandas, TensorFlow, PyTorch, HiGHS, JuMP

Awards.

1) National Topper in ICSE Computer Science
2) Distinction in Euclid and Hypatia Math Contest
3) National Rank #15 LIMIT Math Exam
4) National Rank #7 Sridhara National Math Contest.

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Relevant Experience

Cornell Cup Robotics Project Team

ECE Subteam Member Cornell, Ithaca, February 2024 – Present

  • Created environment maps using sensor data for a Bipedal Operations Robot, resulting in path planning time reduction from 10 minutes to 2 minutes using A search* compared to previous methods.
  • Developed a series of interconnected circuits on a protoboard, including microcontrollers (Arduino/ESP32) to control the motors and accelerometer sensors for balance feedback, reducing signal processing latency from 500ms to 300ms.
  • Used PCB CAD to design a custom breakout shield interfacing with pressure sensors, motor controller output, IMU, and a power + battery management system for seamless hardware integration.
  • Integrated a 4000mAh rechargeable Li-ion battery to power the motors, sensors, and control unit, extending operation time from 3 hours to 4 hours and optimizing overall power efficiency, reducing battery drain by 1.5W during active tasks
  • Installed a front-facing camera with wide-angle capability to provide real-time visual input. The camera, connected to a Raspberry Pi, enabled object detection and obstacle avoidance using OpenCV for computer vision.

Quality Assurance Intern - BURE Research Program

June 2024 – September 2024

  • Developed a tool for auto-generating inline tests - allowing developers to provide arbitrary inputs and test oracles immediately after target statements for quality assurance. Collaborating with Professor Saikat Dutta.
  • Developed scripts to auto-retrieve, instrument and execute 1000 Kaggle Competition Notebooks with 2450 inline tests.
  • Carried out intensive debugging operations across all notebooks and meticulously documented findings using Excel

Deeptek.AI https://www.deeptek.ai

Software Engineering Intern, June 2022 – Jan 2023

  • Validated the Convolutional Neural Network (CNN) model’s ability to identify Pulmonary Embolisms (PE) from CT scans, increasing diagnostic accuracy by 15% compared to previous methods.
  • Conducted statistical analyses on the classification and regression metrics of Deeptek’s CNN, ensuring a 98% classification accuracy and a 92% regression accuracy, validating the model’s reliability and performance.

AG Diagnostics https://www.agdiagnostics.com/

Software Engineering Intern, June 2022 – September 2022

  • Found optimal routes for 4 waste collectors to visit each of 34 centers from the central store of a pathology firm, AG Diagnostics, achieving a 35% transport cost reduction for the firm.
  • Collected and analyzed location data from 34 centers, and developed a Mixed Integer Linear Program in Julia to optimize routing efficiency and minimize total transport costs.

Projects

Bipedal Operations Bot

Skills : Altium, EAGLE, Embedded Software, C, Arduino ESP25,

XRP Robot Development

A small river named Duden flows by their place and supplies it with the necessary regelialia.

Internship

BURE Summer Research

A small river named Duden flows by their place and supplies it with the necessary regelialia.

Deeptek.AI https://www.deeptek.ai

Validated the Convolutional Neural Network (CNN) model’s ability to identify Pulmonary Embolisms (PE) from CT

Contact Us

Address: Cornell University, Ithaca, NY

Phone: +617-401-6581

Email: rak298@cornell.edu

Website https://rohankall.com