AJITH SENTHIL

I develop AI-based methods to understand human behavior and personality, and enhance psychological assessments, leveraging expertise in NLP and agent modeling for simulations

My name is Ajith Senthil, I am a graduate student studying cognitive science using deep learning at the learning and language lab under Dr. Jon Willits. I am an expert technical lead with proven team management and decision-making abilities. My current focus is in the field of AI and machine learning, and I am passionate about developing innovative solutions to complex problems. With a deep understanding of the latest best practices and current trends in these fields, I am dedicated to making a positive impact through my work.

Work experience

Technical Lead

SibilanceAI / Nov 2021 - Present

In this role, I am leading a research startup in the development of NLP and Vector Semantic Models for a behavioral cognitive model, analyzing narratives, analogies, and behavior using deep neural networks, modeling Personality as a latent variable using Bayesian Analysis, and coordinating large scale research in modeling personality with artificial intelligence.

Technical Project manager

Neurotech@UIUC / Aug 2022 - Present

In this role, I applied computer vision models for pose estimation and processing neural EEG data, and predicted and modeled proprioception using EEG data.

Machine Learning Programmer

Neurotech@UIUC / Feb 2022 - May 2022

In this role, I developed neural networks with PyTorch to predict Parkinson's disease in open-source data.

Natural Language Processing Researcher Assistant

Gies Business School at UIUC/ May 2021 - Jun 2022

In this role, I applied computer vision models for pose estimation and processing neural EEG data, and predicted and modeled proprioception using EEG data.

Deep Learning Researcher Assistant

Learning and Language Lab at UIUC/ Oct 2020 - May 2021

In this role, I modeled social cognition using multi-agent AI systems with C# and Unity3D. I also conceptualized and implemented Neural Networks to model Human Behavior.

Computational Genomics Researcher Assistant

Siegel Lab at UC Davis/ May 2017 - Oct 2017

In this role, I modeled Novel Enzymes Catalysts using Computational Modelling under Dr. Siegel. I gained experience in both Wet Lab and Dry Lab and Design-Build-Test cycle.

Areas of expertise

01
Technical Project Management
02
Machine Learning/Deep Learning
03
Statistical Modeling/Cognitive Modeling
04
Research & Development