Magier AI
Chief Technology Officer
At Magier AI, I direct our AI security technology strategy, architecting systems that protect sensitive enterprise data across the full generative AI lifecycle.
Key Contributions & Impact
- •Lead the technical strategy and architecture for our enterprise-grade AI security platform.
- •Oversee design and development of Magier Shield, Engine, and Apps, ensuring seamless real-time DLP and privacy-first workflows.
- •Direct cross-functional engineering teams, guiding full-stack and ML innovation from prototype to enterprise deployment.
- •Scale secure infrastructure capable of handling LLM training, inference, and fine-tuning with compliance built-in (GDPR, HIPAA, CCPA).
- •Partner with product and business teams to align technical roadmaps with enterprise and public-sector adoption.
- •Drive innovation through state-of-the-art AI techniques including multilingual redaction, advanced retrieval, and privacy-preserving ML.
Mission: To engineer the future of privacy-first AI security, ensuring enterprises can adopt generative AI safely, at scale.
Impact: Core architect behind Magier’s 20K+ installs and enterprise adoption. Technical lead through Techstars ’24, securing $405K+ in early funding with additional investor commitments underway, and recognition across leading accelerators.
Prosper HealthTech Accelerator
Co-Founder & CTO · Fall '25 Cohort
I led Magier AI through the Prosper HealthTech Accelerator powered by gener8tor, an in-person program in Birmingham that connects digital health startups with coaching, capital, and deep healthcare relationships. Here, our AI security platform was pushed to fit real-world healthcare workflows, compliance constraints, and the narrative expectations of payers, providers, and investors.
Program focus
- •Refined a crisp healthcare narrative around Magier as the "AI safety layer" protecting PHI across intake, model training, and inference.
- •Worked closely with mentors from health systems, payers, and digital health startups to shape clinical and operational use cases for AI security.
- •Built a healthcare-focused GTM motion: pilots, proof-of-concept designs, procurement cycles, and ROI storytelling for CIOs, CISOs, and compliance leaders.
- •Stress-tested HIPAA-aligned data handling, BAAs, and security posture with advisors who live inside regulated healthcare organizations.
What I took away
- •Learned to lead with narrative, framing Magier around patient safety, trust, and risk reduction rather than just features and models.
- •Built a repeatable healthcare GTM playbook with clear target segments, champion personas, discovery questions, and proof-of-value milestones.
- •Got much sharper at telling our story in a way that resonates with both mission-driven health leaders and institutional investors.
Northwestern Mutual Accelerator
Co-Founder & CTO · Spring '25 Cohort
At the Northwestern Mutual Accelerator powered by gener8tor, I guided Magier AI through a 12-week, investment-backed program focused on fintech, insurtech, digital health, and data analytics. The program pairs founders with mentors from Northwestern Mutual and the broader gener8tor network, emphasizing partnerships, enterprise relationships, and investor readiness.
Program focus
- •Worked with corporate innovation, security, and product leaders to map how Magier's AI security stack fits into large-scale financial and digital health ecosystems.
- •Developed a partnership-centric GTM strategy: integration approaches, co-selling motions, and mutual value narratives with enterprise partners.
- •Built relationships with investors, advisors, and executives who understand regulated industries, compliance, and enterprise SaaS buying cycles.
- •Tested pricing, packaging, and pilot structures that align with multi-stakeholder enterprise buying committees.
What I took away
- •Learned how to design true partnerships, not just pilots-with clear shared outcomes, executive sponsorship, and expansion paths.
- •Built a more disciplined GTM motion for enterprise: stakeholder mapping, relationship building, and long-cycle, multi-threaded sales.
- •Tightened our metrics, dashboards, and communications so Magier is "board-ready" for both investors and strategic partners.
Techstars Accelerator
Co-Founder & CTO · Fall '24 Cohort
The Build in Tulsa Techstars Accelerator was my crash course in being a venture-backed founder. Over an intense three-month, mentorship-driven program, I worked with the Techstars network to sharpen Magier's story, validate customer pain, and get truly prepared for fundraising.
Program focus
- •Weekly mentor meetings with seasoned founders, operators, and investors to critique our product, positioning, and roadmap.
- •Structured content on startup fundamentals: product–market fit, traction, hiring, culture, and founder mindset.
- •Dedicated fundraising prep: narrative crafting, deck reviews, financial modeling, and investor meeting reps ahead of demo day.
- •Hands-on customer discovery and experimentation to tighten our wedge and ideal customer profile for Magier.
What I took away
- •A practical understanding of fundraising mechanics-SAFEs, valuation caps, round strategy, and what early-stage investors actually look for.
- •How to tell a concise, compelling story that connects vision, product, traction, and business model in a way investors and customers both understand.
- •A habit of running the company by the numbers: clear KPIs, simple dashboards, and weekly operating rhythms.
- •The confidence to operate as a founder, not just an engineer- negotiating, asking for capital, and building long-term investor relationships.
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Nevronus Systems
Software Engineer
- •Engineered an quantized image classification model for Flutter, elevating user experience significantly.
- •Developed a cutting-edge semantic segmentation model for diabetic retinopathy, showcasing disease distribution in our React app. Spearheaded the integration of Flask API results, providing valuable insights with heightened interactivity.
- •Proficiently managed complex time-series datasets for forecasting, extracting valuable insights from MySQL databases.
- •Led the development of a React Native app with TensorFlow.js, introducing local machine learning and AI capabilities to mobile platforms.
- •Collaborated closely with cross-functional team members, fostering a collaborative and productive work environment.
Synthetic Souls LLC
Full Stack Developer (Remote)
Live Chatbot Web App with 3D Human Model
- •Developed a live chatbot web app using React, Express, Socket.IO, and Three.js.
- •Integrated a 3D human model with natural animations such as smooth lip sync and eye blinking.
- •Collaborated on seamless integration with ChatGPT for answering domain-specific questions.
Synthetic Souls App Backend
- •Developed the backend system of the 'Synthetic Souls' Flutter app, enabling users to save voice recordings, notes, and interact with a large language model.
- •Utilized FastAPI for efficient REST API implementation, leveraging streaming for enhanced performance.
- •Employed Chroma as a vector storage solution for efficient data management.
- •Utilized Advanced Prompt Engineering and Advanced Retrieval-Augmented Generation (RAG) techniques to enhance performance.
- •Utilized various methods to reduce the token count of large language models, resulting in cost savings and increased processing speed.
- •Integrated voice synthesis for voice cloning functionalities within the backend to provide a personalized user experience.
- •Provided valuable suggestions and insights for both business and technical aspects, which were incorporated into the application.