Now: Graduate Researcher, Weill Cornell Medicine

Kartick Rajen

India → Taiwan → New York

New York City Monday, October 12, 2026 kartickrajen.com

The engineer who wants every millisecond back

Kartick Rajen builds AI that runs fast on small hardware, from sub-millisecond action recognition at Intel to low-latency brain-computer interfaces in Taiwan. He is now a grad researcher in New York City.

Kartick “Karr” Rajen focuses on making systems faster and more efficient, so that computationally intensive work can run where it is needed. He is a Master's student in Electrical and Computer Engineering (AI Systems track) at Cornell University and a graduate researcher at Weill Cornell Medicine.

Before Cornell, he spent six months in Taiwan on a Ministry of Education TEEP fellowship, working on hardware-software co-design for low-latency brain-computer interface datastreams. His work spans financial engineering, computer vision and edge AI, and has produced three first-author IEEE papers.

Write to Karr (Anonymous by default)

Fig. 1. A knight with no goal except keeping its options open. Each dot shows how many three-move paths end on that square, and the knight always hops to wherever that spread is widest. Left alone, it finds its way to the centre, rediscovering the chess rule that a knight on the rim is dim. Power defined as your future options, Intelligence defined as expanding your future options. Click any square to move the knight.

Research

IEEE NMITCON-2025

Shopsense: Retail Analytics Using a Novel Joint Aware Temporal Encoder (JATE)

Read the paper

IEEE ASIANCON-2025

Efficient ISL Gesture Recognition using Skeletal Representations & TSM

Read the paper

IEEE GIET-2025

Secure Multi-Party Computation using HE and Simulated BBM92 QKD

Read the paper

Experience

Weill Cornell Medicine

Graduate Researcher,
Aug 2026 – Present

Optimizing a Markov Chain Monte Carlo based event monitoring pipeline and restructuring its MATLAB codebase into Python/C++.

National Formosa University

Formosa Talent Intern,
Feb 2026 – Jul 2026

Government-funded research on hardware-software co-design for low-latency brain-computer interface datastreams. Patent application in progress.

South Indian Bank

Treasury Research Intern,
Jun 2025 – Jul 2025

Analyzed equity/fixed-income weighting strategies using GARCH-based volatility frameworks and ML/DL ensembles, within a 3B+ USD debt and 25M+ USD equity treasury. Contributed to FX market-making and liquidity operations.

Intel Corporation

AI/ML Project Intern,
Feb 2025 – Apr 2025

Designed JATE, a ~130k-parameter SOTA (State-Of-The-Art) neural network model with sub-1ms inference for retail action recognition, as part of the Intel Unnati Research Program. Built a 150-video retail action dataset from scratch.

Education

Cornell University

Master's in Electrical and Computer Engineering (AI Systems Track), Aug 2026 – May 2027

Research advisors: Prof. Mert Sabuncu (Cornell Tech) and Prof. Aleksei Tiulpin (Weill Cornell Medicine). Coursework in Networks & Markets, ASIC Design, Applied Data Science, Robot Perception and Product Studio.

SRM Institute of Science and Technology & National Formosa University

Bachelor's in Computer Science and Engineering, Jun 2022 – Jun 2026

Collaborative program, with core coursework at SRMIST and research at National Formosa University. U.S. GPA 3.74/4.00 (AICE-endorsed evaluation).

Life

Harmonics & Code

Deeply Passionate about physics and bio-inspired systems, utilizing an interdisciplinary, transferable approach to better understand the world and solve complex problems.

Industry Leadership

Regular participant at international conferences like the Global Fintech Fest, engaging with industry leaders and students to decode trends in machine learning and computer science.

Public Policy & Student Government

Council Representative in Cornell Tech Student Government. Previously represented my university in a meeting with Tamil Nadu's Minister of Education and led massive grassroots hygiene campaigns.

Mentorship

Served as a guitar instructor for school and college students, making sessions interactive and engaging.

Contact

Write to Karr (Anonymous by default)

Leave an email only if you'd like a reply.