- Engineer robust, data-driven products: Laravel/MERN backends, typed APIs, and cloud-native delivery
- Build AI-enabled features: LLM integrations, embeddings, retrieval workflows, and evaluation loops
- Design for scale and reliability: observability, resilient queues, caching, and performance-first schemas
- Lead with clarity: concise architecture docs, automation, and production-ready quality from day one
Languages: 
Backend: 
Frontend: 
Databases: 
DevOps & Cloud: 
AI / ML: 
Quality & Tools: 
- LLM-powered features: retrieval, embeddings, prompt orchestration, guardrails, and evaluation
- Recommendation and ranking systems tuned for relevance and latency
- Document intelligence: parsing pipelines, NLP enrichment, and semantic search
- MLOps hygiene: data versioning, offline/online parity, monitoring, and feedback loops
- AI APIs and tooling: OpenAI, Hugging Face, vector stores, and custom inference services
- Job Board — Production-grade marketplace with relevance-tuned search and async pipelines.
Stack:• GitHub: https://github.com/wizli595/job-board
- AI Partner Hub — Integration layer for LLM-backed workflows with auditability and observability.
Stack:• GitHub: https://github.com/wizli595/ai-partner-hub
- Observability Kit — Lightweight monitoring bundle with anomaly signals for web platforms.
Stack:• GitHub: https://github.com/wizli595/observability-kit
- Cloud: {AWS/Azure/GCP Certification Placeholder}
- AI/ML: {Foundational/Professional AI Cert Placeholder}
- Software: {Architecture/Design/Testing Certification Placeholder}
- Ongoing: Retrieval-augmented generation patterns, evaluation frameworks, production LLM ops
