Kartick Rajen
I focus on making systems faster and more efficient to help facilitate computationally intensive tasks. Currently doing research in Taiwan, with a funded fellowship facilitated by the Ministry of Education. Selected to continue my work as a grad student at an Ivy League Research Institution (Cornell Tech).
Research
Shopsense: Retail Analytics Using a Novel Joint Aware Temporal Encoder (JATE)
K. S. Rajen, J. Thomas, Alice K.
Read Paper ↗Efficient ISL Gesture Recognition using Skeletal Representations & TSM
K. S. Rajen, T. K. K. Gupta, S. Hazra.
Read Paper ↗Secure Multi-Party Computation using HE and Simulated BBM92 QKD
K. S. Rajen, D. Mandal, Gayathri M.
Read Paper ↗Anomaly Detection in Latency-Critical Financial Systems
Taiwan TEEP Fellowship research targeting execution latency in HFT.
Experience
Research Fellow | Formosa Talent Program
Taiwan
Fully-funded hardware-aware AI models for HFT anomaly detection and latency-critical market operations.
Treasury Intern (Quantitative) | South Indian Bank
Mumbai
25% boost in risk-adjusted returns using GARCH-based volatility frameworks and DL ensembles.
Industrial Trainee | Intel Corporation
Chennai
Designed JATE neural network achieving sub-1ms processing for retail-specific action recognition.
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
Represented university in interactive sessions with State Ministers and led massive grassroots hygiene campaigns.
Mentorship
Served as a guitar instructor for school and college students, making sessions interactive and engaging.