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I am a Machine Learning and Computer Vision researcher with over 12 years of experience translating advanced research into commercial products scaled to millions of end-users. My work has focused on driving innovations in perception systems, human–computer interaction, novel input technologies, eye tracking, industrial robotics vision, and AR/VR.
Currently as Principal Research Engineer at HarmonEyes, I lead the end-to-end development of eye-tracking-based deep learning models that predict cognitive load, fatigue, and attention in real-time. My work bridges neuroscience and machine learning by developing and optimizing ML models and inference pipelines for deployment in consumer applications.
Previously, I spent over six years at Sensel leading R&D for intelligent touch and haptic sensing technologies. There, I engineered signal processing pipelines and ML/CV models to enable high-accuracy finger tracking, force distribution, multi-finger classification, palm rejection, and dynamic gesture recognition across diverse touch-sensing surfaces. By combining classical ML, CNN architectures, and real-time signal processing, my research directly contributed to commercial haptic touchpads now deployed in flagship OEM devices from Dell, Lenovo, and Microsoft. I bring a deep research foundation coupled with a demonstrated ability to invent, build, and ship successful mass-market products.
I received a Doctoral Degree in Computer Science from Texas A&M University, advised
by Dr. Tracy Hammond 
Applied AI, Machine Learning & Deep Learning: Time-Series Sequence Modeling, Deep Neural Architectures (Transformers, ViTs, CNNs, U-Net), Low-Latency Inference & Model Optimization (Quantization, Edge Deployment), Predictive Analytics, Class Imbalance Mitigation.
Computer Vision & Spatial AI: Semantic Segmentation, Object Detection, Tracking, Counting, Optical Character Recognition, Shape Detection, Gesture Recognition, Activity Recognition, Facial Analytics & Gaze Estimation, Spatial Touch Map Processing, Industrial Vision Systems.
Processing & Telemetry: Eye Tracking Analytics & Pupillometry, Physiological Signal Processing (EEG, EOG), Digital Filtering & Resampling, Real-Time Human State Estimation (Cognitive Load, Fatigue, Attention).
Human-Computer Interaction (HCI) & Multimodal Sensing: Gaze-Assisted & Multimodal Interaction, Force & Haptic Sensing Technologies, Virtual Reality (VR) & Accessibility, Gaze Contingent VR, Wearable Computing.
User Experience (UX) & Empirical Research: Quantitative & Qualitative User Studies, Parametric & Non-Parametric Statistical Analysis (SPSS, Stata), Interaction Modeling & Usability Evaluation (Fitts' Law), Empirical Sensor Performance Validation, Human-Centered Interface Prototyping.
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Principal Reserach Engineer. July 2025 - Present. |
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Principal Research Engineer. February 2024 - May 2025. |
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Ocular Data Systems, Inc. Pasadena, California [advised by: Dr. Rich Diephuis, Ron Waldorf.] |
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Research Internship. June 1st, 2018 – Aug 24th 2018, and Jan 10th, 2018 - May 3rd, 2018 |
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Developed the initial version of a virtual reality eye tracking system and related algorithms to analyze pupil and smooth pursuits. The system has an application for workplace safety. |
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GazeIT Lab, Technical University of Denmark, Copenhagen, Denmark. [advised by: Dr. John Paulin Hansen ] |
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Research Internship. May 16th, 2017 - August 31st, 2017. |
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Developed gaze typing interfaces for virtual reality, and investigated how the keyboard design, selection method, and motion in the field of view impact typing performance and user experience. |
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IBM - Cognitive Environments Lab, Watson Research Center, New York. [advised by: Dr. Rachel Bellamy, Dr. Maryam Ashoori ] |
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Research Internship. May 16th, 2016 - August 26th, 2016. |
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Developed a visual feedback system and implemented abilities to handle a meeting in a voice-enabled cognitive agent powered by IBM Watson cognitive services. |
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Research Internship. May 26th, 2015 - August 14th, 2015. |
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Developed mobile interfaces with human-centered design, which assist in navigating robots in a data center, floor map generation, temperature monitoring, and asset management. |
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Intern/Co-op-Software Eng/IMAQ Software. May 19, 2014 - August 8, 2014 |
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1) Redesigned the User Interface and Interaction aspects of IMAQ Software. 2) Conducted a feasibility study on leveraging vision-based object tracking algorithms to track user activities. |
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Staff software engineer. July 2012 to July 2013 |
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1) Conducted research and development in "Computer Vision" for implementing image-processing algorithms, deployed in industrial inspection systems. 2) Performed multicoring and platform portability of vision algorithms on to various real time architectures. |
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Engineer, System Software. June 2010 to July 2012 |
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Conducted research and development toward implementing FlashLite adaptation layer on Symbian operating system to enable flash content on Webkit, Symbian WRT based browsers, and standalone applications. |
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Robert Bosch Engineering and Business Solutions, Bangalore. India |
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Software Engineer. July 2008 to May 2010 |
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Developed windows based applications that aid in calibration and analysis of Electronic Control Units in automobiles. Calibration tunes engine parameters for desired performance metrics. |
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Project Trainee - Internship. February 2008 to July 2008 |
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Developed applications for Set-Top Box which are broadcasted on Media Highway Core platform. |
Spring 2017: Instructor of Record
Fall 2016: Instructor of Record
Teaching Assistant: Graduate and Undergraduate Courses
Conferences - Members of the program committee:
Reviewer - Conferences and Journals:
External Examiner: Ph.D. thesis review
Judge
Mentoring - Research
Mentoring - Senior Capstone
Mentoring - Aggie Challenge: Fall 2017, Spring 2017, Fall 2015, Spring 2015, Fall 2014, Spring 2014.
