Experience

What I Owned

End-to-end ownership of the core campaign and incentives platform - distributed backends, a customer data and experience platform, identity verification infrastructure, an AI website editor, and high-throughput data pipelines powering enterprise Web3 engagement programs.

What I Built

• Distributed ingestion systems processing millions of user submissions with concurrency-safe pipelines, rate limiting, and moderation workflows that handled traffic spikes without breaking
• A CDXP end-to-end - funnel event tracking, drop-off detection, cohort segmentation, and dashboards across ~2M user events that surface exactly where users fall out of each campaign
• AI-powered website editor with natural-language edits, live preview, and structured diff commits - a non-engineer can ship a branded landing page and iterate on it without touching code
• dbt transformation models powering campaign points and incentive systems - large-scale data cleanup and pipeline failure resolution across millions of rows of user activity data
• Reputation-based identity verification system using non-transferable NFTs

Interesting Problems

• Reduced infrastructure costs from $300/day to $500/month (94% reduction) by containerizing services and redesigning deployment architecture
• Designing a funnel event schema flexible enough to track every user action across campaigns but stable enough that dashboards and downstream analytics do not break every time a new campaign ships
• Debugged distributed cache inconsistencies across production workloads - the kind of bug where everything looks fine on paper but users see stale data
• Optimized inbound/outbound APIs and database queries to eliminate bottlenecks in a system serving enterprise-scale traffic

What I Owned

Cloud migration of legacy on-prem trading systems and real-time data synchronization infrastructure for 350k+ active traders.

What I Built

• Migrated on-prem Spring Boot systems to AWS using Terraform - Lambda, DynamoDB, S3, SES - achieving 35% cost reduction with 99.99% uptime and sub-50ms query latency
• Distributed Kafka pipelines and WebSocket services synchronizing real-time trading data between cloud and on-prem systems, reducing manual data handoffs by 80%
• Spring Boot microservices on Nomad processing 10k+ Kafka events daily with zero downtime, including integrations with ProRealTime and TradingView

Interesting Problems

• Designing the cloud↔on-prem sync layer where eventual consistency meets financial data that needs to be exact
• Third-party trading platform integrations where APIs are poorly documented and failure modes are discovered in production
• Building reliable event processing at scale where a dropped message means a trader sees wrong positions

What I Owned

Architecture and engineering for a multi-tenant apprenticeship platform serving African markets. Everything from database design to payment integration to real-time messaging.

What I Built

• Multi-tenant backend with Supabase RLS, PostgreSQL triggers, and serverless functions enforcing fine-grained access control across mentors, apprentices, and organizations
• Real-time messaging system using Supabase Realtime and PostgreSQL LISTEN/NOTIFY for low-latency cohort communication
• Paystack Split Payments integration automating apprentice-to-mentor payouts with compliant fee extraction

Interesting Problems

• Onboarding users with varying technical literacy - 12 iterations to reach 70% completion rate
• Payment compliance across different African markets with different regulatory requirements
• Row-level security policies that are simple enough to audit but flexible enough to handle complex org hierarchies

What I Owned

Real-time logistics tracking platform - live vehicle tracking, order status synchronization, and cross-device document rendering for manufacturers and transporters.

What I Built

• Real-time order tracking on Google Maps with WebSocket-powered status updates and geolocation sync across distributed logistics workflows
• Backend REST APIs in Node.js synchronizing live location and order status between transporters, manufacturers, and internal dashboards
• Custom in-browser PDF and image viewer using React and PDF.js for cross-device receipt and order confirmation rendering

Interesting Problems

• GPS accuracy in rural India - signals drop, connectivity is intermittent, and devices report impossible positions
• Building a smoothing algorithm that interpolates vehicle positions during signal gaps without showing teleportation
• Cross-device PDF rendering consistency where browser defaults fail on mobile