With over a decade of experience in IT consulting and Artificial Intelligence, I am currently pursuing an MSc in Bioinformatics and Biostatistics, with a focus on Health Data Science and Biomedical Engineering. My goal is to bridge advanced AI and data-driven methodologies with biotechnology and pharmaceutical research, driving innovation in healthcare through intelligent data systems and predictive analytics.

I specialize in designing and implementing AI-driven solutions, integrating machine learning, MLOps, and cloud-based architectures (AWS, Azure, GCP) to optimize data pipelines, research workflows, and decision-making processes. My background includes developing proof-of-concepts for biomedical applications, from EHR analysis and clinical trial optimization to omics data interpretation and drug discovery support using Generative AI and predictive modeling.

My experience spans diverse sectors — biotech, pharma, healthcare, finance, and retail — where I’ve led teams to deliver high-impact, data-centric solutions that enhance efficiency, compliance, and innovation.

Biotech & Pharma: Development of AI frameworks for biomedical data, precision medicine, and health informatics.

Financial & Insurance Industry: Expertise in risk modeling, fraud detection, and customer analytics through advanced ML techniques.

Retail: Deep understanding of customer behavior analytics, demand forecasting, and real-time data processing for smarter decision-making.

As a team leader and product developer, I foster collaboration between multidisciplinary teams, ensuring scalability, regulatory compliance, and technical excellence. I’m also passionate about training and mentoring, having taught postgraduate programs in Business Intelligence, Data Analytics, and AI applications for industry professionals.

My professional interests lie at the intersection of AI, life sciences, and data engineering, aiming to develop next-generation tools for personalized healthcare and biomedical research.

Technical Skills: AI, ML, MLOps, Data Engineering, Cloud (AWS, Azure, GCP), Bioinformatics Pipelines, Python, R, Spark, Kafka, SQL, Generative AI, EHR Data, and Statistical Modeling.

Personal Interests: family, cooking, travel, electric guitar, chess, and video games