| Project | Stack | Highlights |
|---|---|---|
| 🌐 remote-reset-automation |
Java 17+ • Spring Boot • RFC 8040 • JUnit 5
|
• High-throughput RESTCONF CRUD engine ( • Thread-safe ConcurrentHashMap core + timing-safe Basic Auth security• 34/34 passing automated tests with live GitHub Actions CI |
| 🤖 ai-product-feedback-intelligence-system |
Python • NLP Embeddings • LLMs • FastAPI
|
• Automated feedback pipeline ingesting and vector-clustering user signals • Real-time semantic deduplication and priority scoring for product backlogs |
| ⚙️ ai-operations-copilot |
Python • DevOps • SRE • Incident Response
|
• Deterministic triage engine executing automated diagnostic playbooks • Automated health checks, rollback verification, and structured audit logs |
| 🛡️ phishing-url-detection |
Python • Scikit-Learn • Cybersecurity
|
• Explainable security classifier evaluating domain entropy and URL syntax • Robust evaluation across realistic, non-leaking dataset partitions |
| ⚡ express-logging-middleware |
TypeScript • Node.js • Express
|
• Structured observability middleware with latency sampling & alert webhooks • Zero-dependency, production-ready logging utility |
| 💻 Languages | Java, Python, TypeScript, JavaScript, SQL, Bash |
| ⚙️ Backend & Systems | Spring Boot, Express, FastAPI, OkHttp, Gson, RESTCONF (RFC 8040), IETF YANG |
| 🗄️ Storage & Infra | PostgreSQL, Redis, In-Memory KV Stores, Docker, Git, GitHub Actions, Linux |
| 🧪 Testing & Quality | JUnit 5, Mockito, MockMvc, MockWebServer, PyTest, AssertJ, CI/CD |
-
Algorithmic Discipline: Selecting optimal data structures (
$O(1)$ hash maps over linear scans). -
Empirical Validation: Benchmarking runtime latency (
$0.03\text{ µs} \to 0.19\text{ µs}$ ) across$N = 100 \to 50,000$ . -
Modular Design: Clean 3-tier layering (Controller
$\to$ Service$\to$ Repository). - Security-Minded: Constant-time cryptographic verification and zero committed credentials.
