AI Product Lead | Healthcare AI | Wearables Device | Agentic AI Automation | Researcher
I leads production-grade AI initiatives in healthcare to solve real-world problems.
🔬 Research focus: Agentic AI architectures for automated healthcare triage, safety and reliability in large language models, machine learning for brain–computer interfaces, and predictive AI for clinical intelligence systems. 🌎 Based in the United States
You can find my work and public research footprint across multiple platforms.
🔎 Google Search https://www.google.com/search?q=jahnavi+kachhia
🌐 Personal Website https://jahnavik186.github.io/
🎓 Google Scholar https://scholar.google.com/citations?user=bWMslkYAAAAJ&hl=en
💻 GitHub https://github.com/jahnavik186
🐳 Docker Hub https://hub.docker.com/repository/docker/jahnavik186/ai-github-contributor-automation-agent/general
🔬 ResearchGate https://www.researchgate.net/profile/Jahnavi-Kachhia-2
🧬 ORCID https://orcid.org/0009-0000-5870-5132
💼 LinkedIn https://www.linkedin.com/in/jk186/
• 64 Google Scholar citations • 10 research publications • AI research in EEG-based brain computer interfaces • Biomedical signal processing and machine learning applications
• Brain Computer Interfaces (BCI) • EEG Signal Processing and Neural Signal Analysis • Agentic AI for Healthcare Automation • Large Language Model Reliability and Safety • Predictive AI for Clinical Decision Support • Multimodal AI for Human–Machine Interaction • Explainable AI for Biomedical Systems • Transfer Learning for Neural Signal Models
| Project | Description | Impact |
|---|---|---|
| EEG Image Classification | Machine learning models for EEG signal classification | Assistive neurotechnology |
| AI Medical Triage | Multi-agent AI system for healthcare triage automation | Faster patient routing |
| Biomedical Signal Analysis | ML pipeline for EEG preprocessing and neural feature extraction | Accelerates neurological research |
| ICU Early Risk Predictor | Predictive ML model estimating ICU admission risk using clinical features | Early clinical decision support |
| AI GitHub Contributor Automation Agent | AI agent that analyzes repositories, finds issues, and generates pull requests | Developer productivity and open-source automation |
https://hub.docker.com/repository/docker/jahnavik186/ai-github-contributor-automation-agent/general
An AI-powered automation system that analyzes repositories, identifies issues, and assists with generating pull requests. The project demonstrates how AI agents can automate developer workflows and improve open-source contribution efficiency.
https://hub.docker.com/repository/docker/jahnavik186/icu-early-risk-predictor
A containerized predictive AI system that estimates ICU admission risk using clinical patient features. The system exposes a FastAPI-based prediction service for real-time clinical decision support and demonstrates scalable deployment of healthcare machine learning models.
These projects showcase how machine learning systems can be packaged, deployed, and scaled using containerized infrastructure for real-world applications.
My work focuses on applying AI to meaningful challenges in healthcare and accessibility.
Goals:
• Improve healthcare accessibility through AI systems • Support neurological research using machine learning • Build safe and ethical AI solutions • Contribute to open-source healthcare technologies
Python • PyTorch • TensorFlow • Scikit-Learn
LangChain • Transformers • HuggingFace
FastAPI • Docker • Kubernetes
Pandas • NumPy • Matplotlib
I am interested in collaborating on:
• AI for Healthcare • Brain Computer Interface research • Machine Learning research projects • Open-source AI tools • AI systems with real-world societal impact
My goal is to bridge academic research and production-grade AI systems, translating machine learning innovations into deployable technologies that benefit society.
⭐ If you find my research or projects interesting, feel free to connect or collaborate.