🎯 About Me
I'm a Computer Science graduate currently working at IIT Madras as a Research Associate at the Haptics Lab. I did my undergrad at SRMIST Chennai. I am passionate about building intelligent systems that bridge healthcare, AI, and data engineering.
I enjoy working at the intersection of machine learning, knowledge graphs, and computer vision, especially applying AI to solve real-world challenges in healthcare and biomedical research.
- Programming Languages: Python, JavaScript, C, SQL
- Robotics: ROS, Gazebo, Isaac Sim
- AI/ML Frameworks: PyTorch, Scikit-learn, Pandas, NumPy
- Tools & Databases: Git, GitHub, Neo4J, MongoDB, PostgreSQL, GraphQL, VSCode, Vim
- Special Focus: Knowledge Graphs | Retrieval-Augmented Generation (RAG) | Self-Supervised Learning | Computer Vision
- Built ETL pipelines to extract biomedical data and modeled it as knowledge graphs using Neo4J.
- Focused on rare diseases like muscular dystrophy and Alzheimer's to accelerate drug repurposing research.
- Designed a weakly supervised video anomaly detection system using Multiple Instance Learning (MIL).
- Integrated Meta’s X3D model for feature extraction and Deep GRU networks for temporal modeling.
- Implemented Vision Transformers (DINO) for feature extraction on pathology images, enhancing classification performance without relying on labeled datasets.
IIT Madras — Research Associate IISER Bhopal — Research Intern (May 2023 – July 2023)
- Built knowledge graphs for biomedical discovery and integrated LLMs with graph databases to enhance clinical data retrieval.
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ETH Zürich Machine Learning Summer School (Healthcare Focus)
Explored bias mitigation in healthcare datasets, foundation models in medicine, and AI for clinical adoption. -
PyCon India 2024, Bengaluru
Presented a poster on Generative AI for Drug Discovery.
- 💻 GitHub
- 📧 Email: pvikraman86@gmail.com
Always exploring the infinity of ideas — one project at a time 🚀