CV

Resume CV

Professional Summary

Data Scientist and AI Engineer specializing in computer vision, machine learning operations (MLOps), and end-to-end AI system development. Experienced in designing scalable machine learning and deep learning pipelines, with expertise in multimodal learning, generative AI, large-scale image analytics, and distributed computing. Research spans biomedical imaging, computational pathology, computer vision, and the optimization, evaluation, and deployment of AI models.

Research Interests

Research Interests

Large Language Models (LLMs), Vision-Language Models (VLMs), Large-scale Image Analytics, Image Classification and Segmentation, Deep Learning Optimization

Research Domains

Computer Vision, Multimodal Learning, Biomedical AI and Medical Imaging, Multimodal and Generative AI, Cloud and Distributed Computing

Selected Research Publications

  • MICCAI 2026
  • CVPR 2026
  • NeurIPS 2025
  • Expert Systems with Applications 2024
  • ACM Computing Surveys 2023

Professional Memberships

  • IEEE – Senior Member
  • ACM – Member

Education

Ph.D. in Information Technology2015 – 2020
National Institute of Technology Karnataka · Surathkal, India
M.B.A. in Information Systems2010 – 2012
Bharathiar University · Coimbatore, India
M.Tech. in Information Technology2009 – 2011
Anna University Coimbatore · Coimbatore, India
B.Tech. in Information Technology2004 – 2008
CSI College of Engineering · Ooty, India

Experience

Post-Doctoral Scholar2024-10 – 2026-10
Stanford University · California, USA
Post-Doctoral Fellow2023-08 – 2024-10
University of Houston-Victoria · Texas, USA
Post-Doctoral Associate2021-03 – 2023-08
Kyungpook National University · Daegu, South Korea
Assistant Professor2020-09 – 2021-05
VIT-AP University · Vijayawada, India
Research Scientist and Corporate Trainer2019-09 – 2020-08
Duratech Solutions · Coimbatore, India
Teaching Assistant2015-07 – 2019-08
National Institute of Technology Karnataka · Surathkal, India
Temporary Faculty2014-12 – 2015-06
National Institute of Technology Karnataka · Surathkal, India
Adhoc Faculty2012-07 – 2014-12
National Institute of Technology Calicut · Calicut, India
Assistant Professor2011-06 – 2012-07
SNS College of Technology · Coimbatore, India

Technical Skills

Generative AI

Attention Mechanisms, Transformers, LLMs, Multimodal Learning, RAG, LangChain, ChromaDB, LoRA Fine-tuning, Knowledge Distillation, Quantization, Self-supervised Learning, Pretraining, Fine-tuning

Computer Vision

Image Classification, ViT, Multiple Instance Learning, U-Net, nnU-Net, SegFormer, SAM, SambaUNet, YOLO, DETR, MediaPipe, Gesture-to-Audio Mapping, QuPath, Roboflow, LabelImg

MLOps & Data Engineering

MLflow, Experiment Tracking, Model Versioning, vLLM, Streamlit, Docker, Slurm, Linux (Ubuntu), Hadoop, Apache Spark, Apache Kafka, MongoDB, Cassandra

Cloud & DevOps

AWS, Google Cloud Platform (GCP), OpenStack, KVM, VirtualBox, Docker, GitHub Actions, Git

Programming & Frameworks

Python, Groovy; working knowledge of C and Java; PyTorch, TensorFlow

Research Projects Worked

AI-based Histopathology2024-10 – 2026-10
AI-Driven Climate Risk Assessment at the Hanford Site2023-08 – 2024-09
Automated Fabric Defect Detection and Visualization2022-09 – 2023-05
Optimizer Enhancements for Deep Neural Networks2022-05 – 2023-05
Real-time Fault Detection in Fused Deposition Modelling2022-07 – 2022-10
Gesture Recognition System for Sign Language and Music Generation2022-02 – 2023-05
Korean Handwritten Text Recognition2021-12 – 2022-02
Object Detection in Manufacturing and Smart City2021-03 – 2022-02

Research Proposals

Contributed to the development of the following research proposals:

  1. Unsupervised learning-based WSI classification and clinical text generation using multimodality (2024)
  2. Smart prostheses: real-time knowledge augmentation and direct neural sensory feedback (2023)
  3. Multimodal biometric authentication: integrating voice, vision, and motion for enhanced security (2023)
  4. Transparent artificial intelligence for healthcare technologies (2023)

Professional Services

Associate Editor

  • Journal of Biomedical and Health Informatics (JBHI), 2026 – present
  • IEEE Systems, Man, and Cybernetics (SMC), 2023 – present

Co-organizer and Track Chair

  • RECCAP 2026, IIT Palakkad, India
  • North American Young Investigators Symposium on Mathematical Oncology 2026, Stanford University, USA

Program Committee Member

  • International Conference on Soft Computing and its Engineering Applications (2021 – 2023)
  • International Conference on Innovative Computing and Communications (2021)

Reviewer

  • ICLR, CVPR, NeurIPS, WACV, MICCAI (2026)
  • JBHI (2025 – present)
  • Neural Networks (2024 – present)
  • Journal of Supercomputing (2023 – present)
  • IEEE Transactions on Artificial Intelligence (2023 – present)
  • Applied Intelligence (2023 – present)
  • Engineering Applications of Artificial Intelligence (2023 – present)
  • ECML-PKDD (2022)
  • IEEE Access (2021 – present)