Jan 2022 – Jan 2023 · 1 yr · Remote

• Engineered large-scale NFT and DeFi smart-contract systems for major brand activations and digital collectible experiences.
• Designed and implemented pack-opening NFT mechanics, including randomized rewards, metadata reveals, and secure minting flows.
• Built multi-chain wallet integrations and on-chain user identity features to support seamless onboarding and engagement.
• Developed Python-based data aggregation and analytics pipelines to generate real-time insights from on-chain behaviour.
• Collaborated with product and design teams to architect personalized, data-driven user experiences powered by blockchain events.
• Ensured contract security, audit readiness, and gas efficiency across all deployed systems.

Jan 2022 – Jan 2023 · 1 yr

• Taught Rust, Solana runtime, Anchor, PDAs, CPI patterns.
• Mentored teams building Solana DeFi and high-performance apps.

Jan 2021 – Jan 2022 · 1 yr

• Led engineering for brand activations, NFT ecosystems, and large-scale Web3 experiences.
• Architected and delivered full-stack MERN applications including dashboards, claim portals, and token-gated systems.
• Built and deployed NFT smart contracts for minting, reveals, pack drops, and trait-based collectibles.
• Developed secure wallet integrations and user onboarding flows across AMGI digital products.
• Supported flagship brand initiatives for My Pet Hooligan, integrating Web3 technology into live and digital activations.
• Directed engineering standards across blockchain, backend, and frontend systems.
• Collaborated with creative and brand teams to translate concepts into scalable technical solutions.
• Ensured performance, security, and reliability for production Web3 applications.

Jan 2021 – Jan 2021 · 0 mo

• Taught FinTech Boot Camp covering Python, blockchain, machine learning, and AI-driven financial applications.
• Instructed students on time series analysis, deep learning with TensorFlow, and building decentralized systems.

Jan 2018 – Jan 2021 · 3 yrs

• Provided high-level academic support to Full-Stack Engineering students across multiple university boot camps, helping learners master JavaScript, Node.js, React, and backend fundamentals.
• Mentored cohorts through project architecture, debugging, deployment, and best practices for industry-ready software development.
• Promoted into curriculum development for blockchain and fintech programs, contributing to course materials used in the University of Miami FinTech Boot Camp + other Universities worldwide.
• Collaborated with industry experts to design modules on Python for finance, blockchain fundamentals, smart contracts, machine learning, and decentralized identity systems.
• Wrote and refined instructional content, labs, and assessments that improved student outcomes across several partner universities.
• Worked closely with instructors to maintain academic quality, update technical content, and align coursework with employer needs in the fintech and blockchain sectors.
• Supported onboarding and training for new instructional staff, helping standardize teaching approaches and technical resources.

Jan 2017 – Jan 2018 · 1 yr · Atlanta Metropolitan Area · On-site

• Led Python and SQL development for a company-wide initiative called RGA Elimination, focused on improving delivery accuracy and reducing return-to-vendor shipments.
• Wrote automation scripts to process large-scale product and logistics databases, identifying mislabeled, misplaced, or high-risk SKUs across national distribution centers.
• Built data pipelines that surfaced inconsistencies in product metadata, shipping classifications, and inventory records, enabling faster and more accurate delivery.
• Collaborated with supply chain, logistics, and IT teams to create actionable insights that reduced delivery delays and operational inefficiencies.
• Improved internal data workflows by documenting queries, optimizing SQL performance, and implementing reproducible Python tools for ongoing data validation.
• Helped streamline product tracking systems, contributing to measurable reductions in return-to-sender incidents and customer dissatisfaction.