Building Clinical AI, Healthcare Data, and Medication Safety Systems for the Future of Healthcare
B.Pharm Student · AI Engineer · Co-Founder, Kemirix Health Technologies
I build clinical AI systems, healthcare datasets, and medication safety infrastructure designed to help healthcare professionals make safer and more informed decisions. My work combines pharmacy, artificial intelligence, machine learning, and healthcare data systems to improve patient safety and clinical decision support.
What I'm Building
Every project targets a real clinical or educational problem at the intersection of healthcare and artificial intelligence.
Clinical AI
Building AI systems that support safer medication decisions and clinical decision support at the point of care.
Healthcare Data
Creating pharmacovigilance and drug interaction datasets for research, model training, and healthcare AI development.
Medication Safety
Developing tools that identify drug interactions, pharmacogenomic risks, and contraindications before patient harm occurs.
Education Technology
Building AI-powered learning systems for healthcare and science education that improve student outcomes at scale.
Emmanuel Bain Oduwo
I am a Bachelor of Pharmacy student at Parul University and Co-Founder of Kemirix Health Technologies.
My work focuses on the intersection of healthcare, artificial intelligence, and medication safety. I build clinical AI systems, healthcare datasets, and machine learning infrastructure that help healthcare professionals make safer decisions and support healthcare research.
My long-term goal is to contribute to the development of trustworthy clinical decision-support systems that improve healthcare outcomes at scale.
Selected Highlights
Credentials, certifications, contributions, and verifiable evidence of work.
Co-Founder, Kemirix Health Technologies
Published AfriPharma ADR Watch — open pharmacovigilance dataset
Published Kemirix DDI Database — drug interaction intelligence dataset
Healthcare LLM fine-tuning on Google Cloud TPU infrastructure
Credentialed PhysioNet Researcher
DrugBank Academic License Holder
CITI Human Research Ethics Certified
Built and deployed public AI applications
Trained 80+ students in science, AI, and programming
Founder of LYSI 4 Solutions educational technology platform
Featured Projects
Clinical AI systems, medication safety infrastructure, and healthcare datasets designed for real-world impact.
Kemirix Health Technologies
Problem
Healthcare professionals lack real-time, AI-powered support for identifying drug interactions, pharmacogenomic risks, and contraindications before patient harm occurs.
Solution
Clinical medication safety platform supporting drug interaction analysis, pharmacogenomics, contraindication screening, and medication risk assessment — designed to support safer prescribing decisions at the point of care.
Impact
Building production infrastructure for clinical AI decision support that addresses a critical gap in medication safety tooling for healthcare professionals.
DrugD Clinical AI
Problem
Healthcare professionals and students need a reliable, evidence-grounded AI assistant for medication guidance that goes beyond generic LLM responses.
Solution
Clinical AI assistant focused on medication guidance, drug interaction analysis, herb-drug interactions, and medication safety — powered by retrieval-augmented generation over curated clinical sources.
Impact
Provides evidence-linked medication safety guidance with transparent sourcing, supporting safer clinical decision-making.
Clinical LLM Fine-Tuning Infrastructure
Problem
Fine-tuning large language models on clinical data requires specialized infrastructure and expertise that most healthcare AI teams lack.
Solution
Production-ready pipeline for healthcare language model training using Google Cloud TPU systems, enabling efficient fine-tuning of clinical LLMs with PEFT techniques including LoRA and FSDPv2.
Impact
Reduces the infrastructure barrier for healthcare AI research teams attempting to fine-tune domain-specific clinical language models at scale.
AfriPharma ADR Watch
Problem
Drug safety surveillance datasets for African populations are severely underrepresented in global pharmacovigilance databases, limiting the ability to identify adverse drug reactions in these populations.
Solution
Open pharmacovigilance dataset focused on adverse drug reactions across Africa, designed for use in drug safety research, healthcare AI training, and clinical pharmacology studies.
Impact
Published dataset supporting pharmacovigilance research and healthcare AI development for underrepresented African patient populations.
More Projects
Kemirix DDI Database
Problem
Training clinical AI systems on drug-drug interactions requires structured, high-quality datasets that are difficult to compile from fragmented sources.
Solution
Curated clinical drug interaction database designed for use in medication safety AI development, clinical decision support training, and healthcare machine learning research.
Impact
Provides a structured foundation for drug-drug interaction AI systems and medication safety research.
AI-Powered Healthcare Learning Platform
Problem
Healthcare and science students lack access to adaptive, AI-assisted learning tools that can personalize instruction to their individual knowledge gaps.
Solution
Educational platform built to improve healthcare and science learning through AI-assisted instruction, adaptive feedback, and clinical case-based learning.
Impact
Deployed to support science and healthcare education for students across multiple learning contexts.
LYSI 4 Solutions
Problem
Schools and educational institutions lack integrated platforms that combine AI-powered learning support with administrative management.
Solution
AI-powered education and school management platform combining learning management, administration, and AI-assisted instruction in a unified system.
Impact
Serving educational institutions with integrated school management and AI-powered learning tools.
Tangible Outcomes
Public deployments, published datasets, and active production systems with verifiable evidence.
AfriPharma ADR Watch
PublishedOpen pharmacovigilance dataset for African drug safety research. Published on Hugging Face.
View EvidenceKemirix DDI Database
PublishedStructured drug-drug interaction dataset for clinical AI development. Published on Hugging Face.
View EvidenceKemirix Clinical Platform
In DevelopmentMedication safety platform — drug interactions, pharmacogenomics, contraindication screening.
Link coming soonDrugD Clinical AI
In DevelopmentRAG-powered clinical AI assistant for medication guidance, herb-drug interactions, and drug safety.
Link coming soonCloud TPU Training Pipeline
ActiveProduction LLM fine-tuning infrastructure on Google Cloud TPU v5e using PyTorch/XLA and JAX.
Link coming soonLYSI 4 Educational Platform
In DevelopmentAI-powered school management and adaptive learning platform for healthcare and science students.
Link coming soonResearch & Data Contributions
Published datasets, research certifications, and healthcare AI contributions.
Published Datasets
AfriPharma ADR Watch
PublishedOpen pharmacovigilance dataset focused on adverse drug reactions across Africa, designed for drug safety research and clinical AI training.
Kemirix DDI Database
PublishedCurated clinical drug-drug interaction database for use in medication safety AI, clinical decision support training, and healthcare ML research.
Clinical Reasoning Datasets
In DevelopmentHealthcare datasets curated for LLM fine-tuning, evaluation, and clinical reasoning benchmarks.
Research Credentials
PhysioNet Credentialed Researcher
MIT / PhysioNet
Verified CredentialDrugBank Academic License
DrugBank / LifeSci
Verified CredentialCITI Human Research Ethics
CITI Program
Verified CredentialCITI Data & Specimen Research
CITI Program
Verified CredentialAll datasets are designed to advance pharmacovigilance research and support clinical AI development, with a focus on populations underrepresented in existing global databases.
Work & Research Experience
Co-Founder
Kemirix Health Technologies
- Designed clinical AI architecture for medication safety platform
- Developed medication safety workflows for drug interaction and contraindication screening
- Built healthcare AI pipelines using LangGraph, LangChain, and Vertex AI
- Led model training infrastructure on Google Cloud TPU systems
- Created clinical reasoning datasets for LLM fine-tuning
- Managed healthcare software planning and technical roadmap
Founder
LYSI 4 Solutions
- Building AI-powered educational technology systems
- Developing integrated learning and school administration platforms
- Designing adaptive learning experiences for science and healthcare students
Founder & Instructor
TechFryz
- Delivered AI, ML, Data Science, and Python education programs
- Trained 30+ students and early-career learners in technical skills
- Designed curriculum for beginners entering the data science and AI field
Independent Researcher
Self-Directed Research
- Healthcare AI and clinical AI systems research
- Pharmacovigilance dataset creation and curation
- Clinical datasets for LLM training and evaluation
- Medication safety research and drug interaction intelligence
Teaching & Community Impact
Extending healthcare and technology knowledge to the next generation of learners.
50+
Students taught Biology, Chemistry, and Mathematics
30+
Learners trained in Python, AI, ML, and Data Science
2
Educational technology platforms built and deployed
80+
Total students impacted across science, AI, and programming
Science Education
- Biology, Chemistry, Mathematics
- Taught 50+ students
- Secondary and tertiary level
AI & Technology Training
- Python, AI, ML, Data Science
- TechFryz learning programs
- 30+ learners trained
EdTech Development
- LYSI 4 Solutions platform
- AI Healthcare Learning Platform
- School management systems
Education & Credentials
Bachelor of Pharmacy
Parul University
2024 – June 2028 · GPA: 7.75
Relevant Coursework
Additional Credentials
PhysioNet Credentialed Researcher
MIT / PhysioNet
DrugBank Academic License
DrugBank / LifeSci
CITI Human Research Ethics
CITI Program
CITI Data & Specimen Research
CITI Program
Goethe-Zertifikat A1
Goethe-Institut
Technical & Clinical Skills
Bridging pharmaceutical science with modern AI engineering, MLOps, and clinical informatics.
AI & Machine Learning
Accelerated Computing
Data Science
MLOps & Infrastructure
Cloud
Clinical & Pharmaceutical Sciences
Public Profiles
Research identity, open-source contributions, and professional presence across platforms.
Open To
Currently accepting opportunities that align with healthcare AI, clinical research, and medication safety.
Get in Touch
Whether you're working on clinical AI, healthcare research, or have an opportunity to discuss — I'd like to hear from you.
Location
Parul University, India
Response Time
Usually within 48 hours
Best For
- Research collaborations
- Clinical AI opportunities
- Dataset inquiries
- Speaking or teaching
- Healthcare innovation projects