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Lead Data Scientist | Generative AI | PhD Applied Math | Computer Vision | Deep Learning | Embedded systems | Video Streaming | quasi-MonteCarlo |
With over 8 years of experience in developing and deploying deep learning and computer vision algorithms and systems, I am a principal AI/data scientist at Wi-Tronix, LLC, a leading provider of remote monitoring, video analytics, and predictive diagnostics for the rail industry. My mission is to leverage innovative AI solutions to enhance the safety and operating efficiency of the railroad sector, which is vital for the economy and the environment. I have a PhD in computational and applied mathematics from the Illinois Institute of Technology, where I specialized in RBF kernels, quasi-Monte Carlo, and Bayesian methods. I also have a master's degree in electrical engineering with a focus on communication and signal processing. I have contributed to multiple patents and publications in the fields of video content analysis, automated signal compliance, cubature methods, and low discrepancy sequences. I have strong skills in Python, TensorFlow, PyTorch, C#, SQL, Jenkins, Docker, AWS SageMaker, and Amazon EKS. I am also a developer at QMCPy, an open-source project that aims to produce more efficient and portable QMC software. Additionally, I have expertise in 6-Degrees of Freedom pose estimation and synthetic data generation for model training. Skills: Predictive modeling, Time series analysis, Product requirements, Model Development, Datasets, Defining Requirements.
Illinois Institute of Technology
Doctor of Philosophy (Ph.D.), Computational and Applied Mathematics
August 1, 2013 – December 1, 2019
Illinois Institute of Technology
Doctor of Philosophy - PhD, Machine Learning
January 1, 2012 – August 1, 2013
Illinois Institute of Technology
Master of Science, Electrical Engineering, Communication, Signal Processing
January 1, 2008 – January 1, 2011
Government College of Engineering Tirunelveli, 627007 India
B.E, Electronics and Communication Engg
January 1, 1996 – January 1, 2000
Torc Robotics
Data Scientist, Staff
February 1, 2024 – Present
Chicago, Illinois, United States · Remote
Stealth Startup
Data Scientist
June 1, 2023 – January 1, 2024
Remote
Wi-Tronix, LLC
Principal AI/Data Scientist
October 1, 2021 – June 1, 2023
Greater Chicago Area
QMCPy
Developer
January 1, 2021 – Present
Chicago, Illinois, United States · Remote
Wi-Tronix, LLC
Senior AI/Data Scientist
January 1, 2017 – November 1, 2021
Greater Chicago Area
GAIL Project, Illinois Institute of Technology
Developer
August 1, 2016 – January 1, 2021
Chicago, illinois
Wi-Tronix, LLC
Senior Engineer, Video streaming and Machine learning
December 1, 2015 – December 1, 2016
Greater Chicago Area
Z3 Technology
Embedded software engineer
January 1, 2014 – January 1, 2015
Greater Chicago Area
Illinois Institute of Technology
PhD Student, Research Associate
January 1, 2012 – November 1, 2015
Chicago IL
Polycom
Staff Engineer
May 1, 2011 – January 1, 2012
Bangaon Area, India
PathPartner Technology
Tech Lead
October 1, 2009 – April 1, 2011
Ittiam Systems
Lead Engineer
May 1, 2003 – September 1, 2009
D-Link India Limited
DSP Engineer
February 1, 2001 – May 1, 2003
iWave Systems Technologies Pvt Ltd.
Software Engineer
June 1, 2000 – February 1, 2001
Cultural Fit Analysis
The candidate's career trajectory shows a strong focus on advanced research and development in AI/ML, transitioning from embedded systems and video engineering. Their academic background (multiple PhDs) and roles in stealth startups and research-heavy companies (Torc Robotics, Wi-Tronix) suggest a preference for challenging, innovation-driven environments. The target role of 'Data Analyst' might be a slight mismatch given their deep expertise in Data Scientist/AI Scientist roles, which typically involve more model building and deployment than pure analysis. However, their diverse project experience, including open-source contributions, indicates adaptability and a broad interest in data-driven solutions. The lack of explicit project descriptions for many roles makes it difficult to fully assess cultural alignment with a typical data analyst role, which often requires strong business acumen and stakeholder communication.
Soft Skills & Operational Fit
The candidate's extensive experience in research and development roles, particularly in deep learning and computer vision, suggests strong problem-solving and analytical skills. Their work on open-source projects (QMCPy, GAIL) indicates a collaborative spirit and a willingness to contribute to the broader technical community. The descriptions of deploying models to production and implementing feedback loops demonstrate an understanding of operationalizing data science solutions. However, without specific psychometric test results or interview data, a detailed assessment of stress handling, team collaboration, or work attitude is not possible.