AniebietabasiObo

• Built a recorder that logs every new token on two chains, its security flags and its first 24 hours of prices, recording forward because free histories drop rugged tokens; added an on-chain listener after the aggregator feed missed about half of new pools.
• Tested 1,728 rule settings per segment with realistic costs and execution lag, pre-registered every candidate and kill rule, caught a 'passing' candidate whose profit came from fake pool liquidity, and froze a rug-veto model (AUROC 0.78 forward) before running it on paper.
• Ran the strategy with real money and wrote a trade-by-trade post-mortem against paper: execution matched, and the losses came from safety stops that confined the bot to rug bursts; built the Python bot and a Next.js dashboard on Railway and Vercel.

Python, SQLite, eth-account, JSON-RPC, scikit-learn, pandas, Next.js, TypeScript, Railway, Vercel

Write-up

• Wrote a buy-side research note on Dangote Cement (NGX: DANGCEM) for pension funds and asset managers: Underweight, 12-month target ₦1,007 against a ₦1,490 share price.
• Extracted five years of figures from the company's NGX filings by script, each tagged with its source page and cross-checked against the next year's filing.
• Built a formula-driven DCF model with a WACC × growth sensitivity, a reverse DCF (the price implies naira bond yields of about 12.6%, against 17.2% at auction) and a peer P/E comparison, checked by an independent recomputation.

Excel (openpyxl), Python, pypdf, matplotlib

Write-up

• Built a WoE logistic scorecard and a monotone-constrained LightGBM challenger for probability of default on 620,783 Lending Club loans, developed on 2012Q4–2013 and tested out of time on 2014 and 2015.
• Validated it the way a bank's model risk team would: Gini/KS with bootstrap intervals, calibration tests and observed/predicted ratios by grade, PSI/CSI, recalibration, and a findings log.
• Turned PD into expected loss (PD × LGD × EAD) with an EL backtest, a crisis stress test calibrated four ways, and Basel (Vasicek) capital; wrote a 14-page model document in validation-report format.

Python, pandas, scikit-learn, LightGBM, statsmodels, SciPy, matplotlib, pytest

Write-upModel document (PDF)Code

• Built the members' mobile app in Expo and React Native: a Rights Hub of plain-language rights articles, a Protection Centre for filing and tracking eviction, employment and police cases, and DocuVault for storing and sharing records.
• Integrated Auth0 Universal Login with deep-link callbacks, and an RTK Query client for the backend covering membership, onboarding, cases and documents.
• Set up native push through Amazon SNS to APNs and FCM, with device-token registration and tap-to-open routing, and shipped builds and over-the-air updates with EAS.

React Native, Expo, TypeScript, Redux Toolkit Query, Auth0, NativeWind, Amazon SNS, EAS

• Built a React Native (Expo) marketplace connecting hosts posting jobs with service providers who apply using a credit-based lead system.
• Implemented location-based provider discovery with Google Maps/Places, in-app booking, and Stripe payments for credit purchases.
• Developed provider KYC verification, job application, and review flows on top of a Redux Toolkit state layer.

React Native, Expo, TypeScript, Redux Toolkit, Stripe, Google Maps/Places, NativeWind

• Architected a multi-tenant platform combining ManyChat-style DM/comment automation (Facebook, Instagram, TikTok, WhatsApp) with a course marketplace under one shared account system.
• Designed a channel-agnostic adapter pattern and flow engine so a single trigger matcher and node-based flow graph drives automation across all four messaging channels.
• Built a WhatsApp automation module on an unofficial socket transport (Baileys), including session management, credential persistence, and reconnection handling.
• Implemented Paystack payments with creator subaccounts and revenue-split payouts for the multi-tenant course marketplace, plus recurring creator subscriptions.

NestJS, Next.js, TypeScript, PostgreSQL, TypeORM, Redis, BullMQ, Paystack, Socket.IO, Turborepo

• Built and maintained React Native mobile applications powering payments and financial services for merchants and consumers.
• Launched user-focused FinTech features, improving accessibility for underserved users by 30%, impacting 20,000+ users.
• Engineered crypto <-> cash flows using React Native, Redux, RTK Query, and Tailwind CSS; achieved 99.9% transaction reliability with <2s load times.
• Shortened feature delivery cycle by 35% through Agile sprints, boosting release cadence and increasing user NPS from 6.4 to 8.0.
• Collaborated with backend and product teams to ship secure, high-performance fintech features at scale.

korapay.com

• Developed a comprehensive event ticketing platform focusing on seamless user experience and secure transactions.
• Utilized React Native, Redux, and TypeScript to build and maintain high-performance mobile features.

• Designed a decentralized copy-trading UI for 1,200+ users, optimizing blockchain data rendering and reducing load times by 40%.
• Integrated 4+ smart contracts using Web3 and Next.js, enabling real-time transaction updates.
• Led UI testing initiatives, identifying and resolving 25+ frontend bugs before launch.

mysignals.com