Passionate full‑stack engineer and AI enthusiast focused on fintech, cybersecurity, and high‑performance systems.
I enjoy turning complex systems into clean, testable code and building projects that run close to real‑world constraints (edge devices, low‑latency backends, security‑sensitive flows).
Building and testing dApps end‑to‑end: smart contracts in Solidity, Web3.js/ethers.js integration, wallet flows (MetaMask), and basic DeFi / micro‑lending experiments on EVM chains.
Comfortable with web app reconnaissance, traffic inspection, password‑attack labs, exploitation exercises, and OS‑level troubleshooting using common Kali Linux tooling and the Linux command line.
- Fintech & DeFi – trading tools, risk engines, and on‑chain experiments.
- Cybersecurity – web app hacking labs, API security, CTFs, and blue team tools.
- Distributed systems & networking – low‑latency backends, sockets, and protocol internals.
- Teaching & community – explaining hard topics so younger devs don’t suffer alone.
- Football & road trips – FC Barcelona, Arsenal, and long drives with good music.
- “What if?” projects – weird experiments, automation gremlins, and ideas that feel slightly illegal but aren’t.
Not a full CV, just the highlights that shaped how I build and think.
-
2021 – First lines of code
Learned the basics with JavaScript and Python, started building small scripts and toy projects. -
2022 – Web, backend & Linux
Went deeper into web dev, REST APIs, databases, and got comfortable living inside a Linux terminal. -
2023 – Cybersecurity & networking arc
Discovered Kali, Wireshark, Burp Suite, Metasploit and fell into web security labs, CTFs, and network internals. -
2023–2024 – Fintech, AI & data
Built trading tools, anomaly/fraud detection experiments, and started treating systems like real products instead of tutorials. -
2024 – Web3 & distributed systems
Smart contracts, DeFi prototypes, microservices, and low‑latency backend experiments. -
2025+ – Shipping harder things
Focused on projects with real constraints: performance, security, users, and maintainability, while mentoring and contributing more in public.
Here are some of the challenges that shaped my engineering mindset and domain depth.
| # | Event | Theme | What I Did | What I Gained |
|---|---|---|---|---|
| 1 | Global AI Model Optimization Challenge | Edge AI & Model Compression | Optimized ML models for low‑resource edge devices under strict latency and memory limits. | Model quantization & pruning, ONNX edge deployment workflow, performance benchmarking methods. |
| 2 | SecureNet Cyber Defense Hackathon | Blue Team Security | 48‑hour defensive security sprint focused on intrusion detection and log analysis. | SIEM log investigation, threat detection patterns, incident response workflow. |
| 3 | FinTech Innovation Sprint | Smart Trading & Risk Analytics | Built an AI‑powered trading analytics dashboard with risk scoring and automated journaling. | Financial data modeling, risk metrics design, fintech UX thinking. |
| 4 | AI for Anomaly Detection Challenge | Fraud & Behavior Detection | Developed anomaly detection models to flag suspicious transaction behavior in simulated datasets. | Feature engineering for fraud signals, Isolation Forest & autoencoder usage, precision/recall trade‑off tuning. |
| 5 | Network Architecture Design Cup | Scalable Infrastructure | Designed secure multi‑site network architecture with redundancy and zero‑trust principles. | Network segmentation strategy, firewall & VLAN design, high‑availability topology planning. |
| 6 | Ethical Hacking Capture‑the‑Flag Event | Offensive Security | Solved web exploitation, privilege escalation, and reverse engineering CTF challenges. | Web vulnerability discovery, Linux privilege escalation, binary analysis basics. |
| 7 | Decentralized Finance Buildathon | Blockchain & Fintech | Built a DeFi micro‑lending smart contract with automated collateral logic. | Smart contract security patterns, transaction logic design, on‑chain risk controls. |
| 8 | AI Trading Strategy Hackathon | Quant + ML | Created ML‑assisted trading signal system with historical data and backtesting. | Strategy backtesting pipelines, overfitting prevention, signal validation metrics. |
| 9 | Cyber Threat Simulation Exercise | Red vs Blue Team | Participated in simulated enterprise breach with coordinated attack/defense phases. | Attack chain mapping, defensive monitoring tactics, team coordination under pressure. |
| 10 | Edge Systems Performance Challenge | Low‑Latency Systems | Optimized backend services for ultra‑low latency under heavy financial transaction load. | Performance profiling, caching & concurrency patterns, latency reduction techniques. |
These are the core repositories that best show how I think and build.
-
Flagship Project – Trading Journal / Analytics Platform
Full‑stack app focused on real trading workflows, including risk insights, journaling, and analytics. -
AI / ML Project – Fraud or Anomaly Detection
ML pipeline with data cleaning, feature engineering, model training, evaluation, and comparison. -
Cybersecurity Project – Blue/Red Team Tools & CTF Writeups
Security utilities (log analyzer, vulnerability scanner, etc.) plus structured writeups of CTF challenges. -
Networking / Systems Project – Low‑Level Networking
Socket‑based chat server, simple load balancer, or network monitor. -
FinTech / Data Project – Quant / Risk Engine
Backtesting engine, risk calculator, or portfolio optimizer with real or realistic market data.
-
Algorithms & Data Structures
Organized solutions by topic (graphs, DP, trees, trading‑related), each with problem, approach, complexity, and notes. -
Design Patterns in Practice
Implementations of patterns like Factory, Strategy, Observer, Dependency Injection, and Repository, with short usage notes. -
Clean Code & Testing Examples
Focused repo demonstrating SOLID principles, unit tests, integration tests, and clear project structure.
- Portfolio: vercel
- LinkedIn: kabanda-jordan
- Email: kabandajordan784@gmail.com
- GitHub: kabanda-jordan