Crypto Portfolio Tracker Bot
Self-hosted Telegram bot for real-time crypto portfolio tracking across exchanges, built async from the ground up.
live · in marketingSoftware engineering student at Zetech University, Kenya. I ship Telegram bots, DeFi tooling, and full-stack platforms — then stay until the edge cases, geo-blocks, and session leaks are actually fixed.
// about
I'm a software engineering student who learns by deploying — most of what I know came from debugging a live Telegram bot at 1am, not a lecture slide. My work spans three areas: automation tools that remove repetitive manual work, blockchain/DeFi tooling that talks to real chains and exchanges, and full-stack platforms that connect people to services.
I work incrementally and precisely — one file, one error log, one confirmed fix at a time. That habit comes from shipping bots that handle real money and real users, where a silent bug isn't acceptable.
// stack
// selected work
Self-hosted Telegram bot for real-time crypto portfolio tracking across exchanges, built async from the ground up.
live · in marketingAsync Telegram bot for real-time wallet and token tracking across Ethereum, Solana, Base, and BSC, with ROI scoring and whale alerts.
in developmentPlaywright bot that auto-joins incoming tawk.to customer chats across multiple Chrome profiles, killing the manual race-to-click bottleneck for support teams.
internal toolExploratory analysis and structuring of the Polymarket dataset, building reusable annotation workflows for downstream ML tasks.
completed// log
Stabilized a production Telegram bot — fixed exchange geo-blocks, database quota limits, and session leaks under real traffic.
Designed and shipped two independent Telegram bots end-to-end, from architecture to Railway/Render deployment.
Built a multi-profile browser automation system reducing manual support response bottlenecks to near-zero.
Shipped two full-stack AI platforms (BioTracker, FundiConnect) integrating Gemini, GPT, and Supabase RLS-secured backends.
Conducted large-scale data analysis on a 36GB Polymarket dataset using Python and Pandas to extract trading patterns.
Optimized application performance achieving up to 30% faster load times through efficient code and resource management.
// cv
// get in touch
Open to internships, freelance builds, and collaboration on bots, DeFi tooling, or full-stack products.