Hi there — I'm Eshaan Mathakari, an aspiring Data Scientist passionate about building reliable, explainable AI systems and exploring how Machine Learning, Blockchain, and Healthcare intersect to solve real-world problems.
I enjoy travelling, meeting new people, and transforming complex ideas into data-driven, deployable products.
AI Engineer – EXL
Graduate Student, University of Arizona
Data Science Intern – Sagility Healthcare
- Worked on predictive modeling for healthcare datasets.
- Applied deep learning and NLP methods for data classification and automation.
- Worked on end to end agentic DevOPs Applications.
- Building and fine-tuning transformer-based systems and LLMs (GenAI)
- Developing MLOps pipelines and scalable ML architectures
- Applying deep learning in healthcare and precision medicine
- Exploring Blockchain applications for data verifiability and trust
- Foundation models and context engineering
- AIOps, ZK verifiability, and CI/CD for production AI
- Causal inference, interpretable ML, and responsible AI
- Cloud computing and distributed model training (AWS / Azure / GCP)
I’m open to collaborating on AI, ML, Healthcare, Blockchain, or Data Engineering projects.
If something here interests you, feel free to reach out or open an issue in any of my repositories!