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Curriculum Vitae Download PDF

Experience

  • Inria, Montpellier, France

    • Postdoctoral Researcher (Apr 2026 – Present)
    • Doctoral Researcher (PhD) (Apr 2023 – Mar 2026)
      • Researched novel Transformer architectures for robust and interpretable image understanding, developing part-centric models to eliminate spurious biases in complex scenes.
      • Resulted in first-author oral presentations at ECCV 2024 (oral, top 2.3%) and ICPR 2026 (oral), as well as an ICCVW 2023 workshop paper.

  • Università di Trento, Trento, Italy

    • Visiting Researcher (Feb 2025 – Apr 2025)
      • Analyzed zero-shot generalization in novel interpretable deep learning models with the MHUG group.

  • Lely, Maassluis, Netherlands

    • Machine Learning R&D Engineer (Sep 2020 – Mar 2023)
      • Developed and deployed production algorithms for computer vision and animal behavioral monitoring in autonomous robotic farming systems, resulting in two granted European Patents (EP4291133B1, EP4510823B1).
      • Engineered 2 large-scale deep learning systems from concept to deployment on edge devices (C++, ONNX, MLOps).
      • Implemented a semi-automated data annotation pipeline with active learning, reducing labeling errors and boosting mAP by 20%.
      • Mentored 4 master’s thesis students through research internships and projects.
    • Computer Vision R&D Intern (Jan 2020 – Aug 2020)
      • Designed an instance-level part segmentation model for livestock, doubling baseline mAP in live farm environments.

  • Corvus Drones, Wageningen, Netherlands

    • Computer Vision R&D Intern (Sep 2019 – Dec 2019)
      • Re-architected fiducial marker detection algorithms for GPU acceleration with CUDA, achieving 2x speedup.

Education

  • Ph.D. in Computer Science, Inria & University of Montpellier, France (2023 – 2026)
    • Thesis: Towards Part-Centric Representations for Robust and Interpretable Image Understanding
    • Advisors: Dr. Diego Marcos, Dr. Cassio Fraga Dantas, Dr. Dino Ienco, Dr. Massimiliano Mancini (Univ. of Trento)
  • M.Sc. in Embedded Systems, University of Twente, Netherlands (2018 – 2020)
    • Thesis: Instance Level Cow Body Part Parsing
    • Advisors: Dr. Yan Li, Dr. Nicola Strisciuglio, Dr. Luuk Spreeuwers
  • B.Tech. in Electrical and Electronics Engineering, University of Kerala, India (2013 – 2017)
    • Honors: First Class with Distinction

Patents & Publications

A complete list of papers and granted European patents with code and project pages is available on the Publications & Patents page.

  • Patents:
    • European Patent EP4510823B1: Animal husbandry system (Granted 2026)
    • European Patent EP4291133B1: System for monitoring a calving mammal (Granted 2024)
  • Selected Publications:
    • ICPR 2026 (Oral): Two-stage Vision Transformers and Hard Masking offer Robust Object Representations
    • ECCV 2024 (Oral): PDiscoFormer: Relaxing Part Discovery Constraints with Vision Transformers
    • ICCVW 2023: Masking Strategies for Background Bias Removal in Computer Vision Models

Skills

  • Computer Vision & ML: Deep Learning, Vision Transformers (ViTs), CNNs, Explainable/Interpretable AI (XAI), Self-Supervised Learning, Multimodal AI, Object & Part Discovery
  • Frameworks & Libraries: PyTorch, Torchvision, OpenCV, ONNX, Hugging Face, NumPy, Pandas, Scikit-learn
  • Languages & Tools: Python, C++, CUDA, Git, Docker, Slurm, Linux, LaTeX
  • Languages: English (fluent), Malayalam (native), Dutch (A2), French (A2)

Summer Schools & Certifications

  • International Computer Vision Summer School (ICVSS), Sicily, Italy (July 2025)
  • Eastern European Machine Learning Summer School (EEML), Sarajevo, Bosnia and Herzegovina (July 2025)
  • Deep Learning Specialization, DeepLearning.AI / Coursera (2020)
  • Machine Learning, Stanford University / Coursera (2019)