Sub-prime lending models
Credit risk and default-prediction modeling for sub-prime borrowers, balancing predictive lift, explainability and regulatory expectations.
Founder · Data Scientist · AI Mentor
Turning machine learning into decisions that ship.
I'm a founder, senior data scientist and EdTech mentor. I've built ML and deep learning systems for banking and healthcare, deployed them on AWS with CI/CD, consult and mentor engineers and business leaders how to automate business processes using AI. Today I'm building a contact tracing platform in stealth.
FounderContact tracing, in stealth
EdTech MentorPython, AWS, AI/ML
Banking & HealthcarePrimary domains
ML → ProductionAPIs, CI/CD, on-device
About
Research depth, with an engineer's habit of shipping.
I've spent years as a senior data scientist applying machine learning and deep learning to high-stakes problems in banking and healthcare. Alongside that work, I mentor in the EdTech space, teaching the math foundations for data science, Python, no-code AI/ML tools like KNIME, RapidMiner, and consulting business leaders on where AI & automation actually creates value, and where it doesn't.
I've also led teams across analytics, monitoring, and machine learning primarily focused around low-latency AWS deployments with CI/CD, on-device privacy-first deploymentsand API-based integrations.
Currently building · Stealth mode
Building the next generation of contact tracing.
I'm the founder of an early-stage company developing a contact tracing application. We're working in stealth, shaping the product alongside the institutions that will use it, and details will be shared as we get closer to launch.
Selected Work
Applied ML where the stakes are real.
A sample of the problem spaces I've worked in. Happy to discuss approach and outcomes in more depth.
Auto lending analytics
Machine learning across the auto-loan lifecycle, from underwriting and pricing signals to portfolio performance and loss forecasting.
Contact tracing
Data-driven contact tracing work in the healthcare context, using modeling and analytics to support faster, better-informed public-health response. This experience now underpins the company I'm building.
Production ML on AWS
End-to-end deployment of models as scalable, low-latency services on AWS, with automated CI/CD pipelines, versioned releases and API-based integrations into business applications.
On-device model hosting
Packaging and running models directly on devices for low-latency, privacy-preserving inference where cloud round-trips aren't an option.
Agentic workflows
Designing multi-step, tool-using AI agents that automate real business workflows, with guardrails, evaluation and human-in-the-loop checkpoints.
Leading full-stack teams
Leading cross-functional teams spanning databases, software engineering, DevOps, dashboards and analytics, and machine learning, aligned around one product.
Product ownership & system design
Owning products from problem framing to architecture and delivery, designing systems that balance latency, scale, cost and maintainability.
Mentoring & Teaching
Helping people and teams get genuinely good at AI.
From aspiring developers to C-suite leaders, I tailor the depth and the vocabulary to the audience.
For engineers & learners
Hands-on mentoring in Python, building and deploying on AWS with CI/CD, system design, exposing models through APIs, and shipping no-code AI/ML solutions.
Math foundations
The mathematics behind data science and ML, taught intuitively and applied to real problems: linear algebra, statistics, probability, calculus and optimization.
For business leaders
Practical GenAI coaching: identifying high-value use cases, understanding risks and limits, and building a roadmap that moves beyond pilots.
For organizations
Workshops and advisory on agentic workflows, responsible AI adoption and upskilling data teams for production-grade delivery.
Skills & Toolkit
What I work with.
Math Foundations
Linear algebra, statistics and probability, calculus, optimization: the theory under ML.
ML & Deep Learning
Supervised & sequence models, gradient boosting, neural networks, risk modeling, model explainability.
GenAI & Agents
LLM applications, agentic workflows, prompt and evaluation design, no-code AI/ML platforms.
Cloud & DevOps
Low-latency AWS deployments, CI/CD pipelines, containerized services, monitoring and versioned releases.
System Design & Integration
Scalable architecture, REST API design, application integration, on-device and edge model hosting.
Full-Stack Delivery
Databases, software engineering, dashboards and analytics, ML, across the whole stack.
Product & Team Leadership
Product ownership, roadmapping and leading cross-functional engineering and data teams.
Languages
Python as the core, with the surrounding data and ML ecosystem.
Domains
Banking, lending and credit risk; healthcare and public health; EdTech.
Get in touch
Let's build something that works in production.
Open to partnership conversations for my contact tracing venture, mentoring engagements, GenAI advisory for leadership teams, and applied ML collaborations.