ML and Cybersecurity Research Hub
ML-enabled applications and cybersecurity research delivered across multiple client engagements.
Improved engagement by 50% across deployed apps
Boosted model accuracy by 35% for analytics workflows
Delivered 10+ client projects on time
Established ML evaluation baselines for future releases
Improved security posture by 15% across assessed systems
Improved collaboration efficiency by 20% across client teams
metrics
What we built
A portfolio of ML and security solutions built for clients in healthcare, sports, and media, blending research with production delivery. Each engagement shipped modular ML services, production-ready APIs, and UX improvements with clear success metrics.
# challenge
Clients required ML-driven features, robust security, and measurable engagement improvements across varied products and timelines. Data quality and model performance needed to be balanced with delivery deadlines.
# solution
Delivered modular ML services, responsive front ends, and security tooling using IoT devices and tuned ML pipelines. Established evaluation workflows to track accuracy, latency, and engagement impact.
- Architected ML-enabled web and mobile experiences end to end
- Trained, evaluated, and optimized ML models for client data
- Built security tooling and evaluation pipelines
- Owned delivery across multiple client engagements and timelines
- Collaborated with stakeholders to define measurable KPIs
- Built IoT security prototypes using Raspberry Pi and WiFi Pineapple
- Assembled digital forensics tooling with Dickey
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