I'm an applied scientist with over 7 years of experience designing, developing, and deploying machine learning models and data-driven systems across healthcare, neuroscience, and industrial applications.
- Multiple AI in healthcare projects
- Explainable AI
- Machine Learning
- Computational Neuroscience
- Brain-Machine Interfaces + Wearables + Bio-signal Processing
- Bioinformatics
- Languages: Python, C++, R, MATLAB
- ML/AI: PyTorch, TensorFlow, JAX, Scikit-learn
- LLMs & Generative AI: LangChain, LlamaIndex, RLHF, OpenAI API
- MLOps: MLflow, Weights & Biases, Kubeflow
- Data: PostgreSQL, REDCap
- Cloud & Infrastructure: AWS, GCP, Docker, Kubernetes, CI/CD
- Distributed Computing: SLURM
- A precision health approach to medication management in neurodivergence (2025)
- Encoding medical ontologies with holographic reduced representations for transformers (2024)
- Evaluating perceptual and semantic interpretability of saliency methods (2022)
- Digitized ADOS: Social interactions beyond the limits of the naked eye (2020)
- Neural connectivity evolution during adaptive learning with and without proprioception (2020)
- MS in Industrial & Systems Engineering - Rutgers University, NJ, USA
- B.Tech in Mechanical Engineering - Rajasthan Technical University, India
"Neuroscience illuminates AI architecture while AI models decode neural complexityβtwo fields in perpetual conversation, each advancing the other."