Sep 2025 – Present · 6 mos · Dublin, County Dublin, Ireland · On-site

• Our project, BigLook, is funded through Enterprise Ireland’s Commercialisation Fund and incubated at the ADAPT Centre, Trinity College Dublin. We are developing advanced LMMs and AI agents designed to support art and collectibles dealers in their day-to-day operations — boosting productivity, improving decision-making, and driving more sales.

Jan 2024 – Aug 2025 · 1 yr 7 mos · Letterkenny, County Donegal, Ireland · Hybrid

• I worked on a pivotal project at Enterprise Ireland's Data2Sustain European Digital Innovation Hub (EDIH), overseeing the technical design, development, and operation of data-driven HPC platform services. My role focused on supporting the Data2Sustain program, enhancing technology innovation skills for small and medium-sized enterprises in AI and data-driven development. I collaborate closely with the broader Data2Sustain team, Technology Gateways, program partners, and industry/public sector organizations to leverage in-house infrastructure for data services, training platforms, AI, and big data analytics. Excited to drive impactful change and contribute to regional innovation and technology adoption.

Mar 2023 – Dec 2023 · 9 mos · Dublin, County Dublin, Ireland · Hybrid

• I was involved in applied machine learning research for the Innovation and Development Group at the national and EU levels. My responsibilities include data modeling, pipeline development, API creation, testing ML models, deploying solutions, conducting dissemination activities, and producing technical reports.

Aug 2021 – Mar 2023 · 1 yr 7 mos · Galway, County Galway, Ireland · Hybrid

• I worked with XPERI Corporation and the National University of Ireland (NUI) as a postdoctoral researcher. The purpose of the project was 'Development of a multimodal (sound and vision) AI processing platform with low cost and low power consumption to be used for the creation of voice-enabled toys'. The project was in collaboration with Xperi, SoapBox Labs, and NUIG.

May 2021 – Feb 2023 · 1 yr 9 mos · Greater Hyderabad Area · Remote

• CogniX provides cutting-edge technology revolutionizing motion analytics. We do advanced research in machine learning, deep learning, computer vision, multimodal artificial intelligence, human motion and behavior understanding, and pattern recognition technologies to develop custom cognitive computing solutions for a variety of applications.

Feb 2021 – Nov 2021 · 9 mos · California, United States

• Worked with Dr. Ehsan Adeli, Professor, Stanford University, on the Group Activity Recognition project.
• Our Paper entitled, "WTM: Weighted Temporal Attention Module for Group Activity Recognition" is currently under review at ICCV 2021.
• In this, we proposed a novel weighted temporal attention module that can be attached to any CNN architecture to improve the performance of group activity recognition. The same model can be applied to other video action recognition problems as well.

Feb 2021 – Mar 2021 · 1 mo · Japan

• I have got a chance to work with Professors and Researchers at Hiroshima University, Japan. Here, I worked on "High-Speed Computer Vision and Robotics" by Sakura Science Program (SSP) under International Linkage Degree Program (ILDP).

Jan 2021 – Nov 2021 · 10 mos · San Antonio, Texas Metropolitan Area

• Worked with Dr. Heena Rathore on various projects that includes.
• 1. WiFi channel state information (CSI) based on human activity recognition.
• 2. Federated Learning for data privacy preservation and decentralizing machine learning
• 3. Bayesian Reinforcement Learning for Adding Higher Levels of Cognition in Machine
• 4. Connected Vehicles; 5. Future Activity Prediction.

Oct 2020 – Nov 2021 · 1 yr 1 mo · London, England, United Kingdom

• Worked with Dr. Hari Mohan Pandey, Associate Professor, Edge Hill University, United Kingdom. We have worked on various projects and research papers that include.
• 1. Ypose: Towards Efficient Yoga Pose Recognition In Single Images
• 2. YogNet: Realtime Multi-person Yoga Action Recognition and Posture Correction
• 3. ViHAR-Net: Human Activity Recognition via Fusion of Vision and Inertial Sensors
• 4. Activity Recognition Using a Multistream Fusion of Vision and Inertial Sensors Data
• 5. TACT: Temporal Attention Consensus using Transformers for Video Action Recognition
• 6. Skeleton-based Human Activity Recognition using ConvLSTM and Guided Feature Learning
• 7. A review of multimodal human activity recognition with special emphasis on classification, applications, challenges, and future directions
• 8. ARFDNet: An Efficient Activity Recognition & Fall Detection System using Latent Feature Pooling

Feb 2020 – Nov 2021 · 1 yr 9 mos · Pilani, Rajasthan, India

• I've done my Ph.D. research work in the Department of Computer Science and Information Systems (CSIS) at BITS Pilani with Dr. Kamlesh Tiwari (Ph.D. Co-Supervisor).
• Till now, I have worked on 20+ research Projects at BITS Pilani.
• My Ph.D. research topic is Unobtrusive Multimodal Human Activity Recognition, which is an intersection of Computer Vision and Wearable Sensing for Activity Recognition using Deep Learning.

Aug 2019 – Aug 2021 · 2 yrs

Mar 2017 – Aug 2019 · 2 yrs 5 mos