Tech Lead & Solution Architect
AI Systems • Cloud & Data Platforms • Agentic Workflows
- Agentic Architectures & Workflows: n8n, Human-in-the-Loop (HITL), MCP (Model Context Protocol), Tool & Capability Governance
- GenAI & Applied LLMs: RAG Pipelines, Context Engineering, Prompt Ops, Embeddings & Vector Search (
pgvector) - Knowledge & Retrieval: Knowledge Graphs, Semantic Clustering, Recommendation Systems, NLP (
BERT, Transformers) - Time-Series Modeling: Time Series Analysis,
LSTM,SARIMA, Anomaly Detection & Forecasting
- Languages: Python, SQL, TypeScript, Go, Kotlin, Java, Bash
- APIs & Frameworks: FastAPI, RESTful Service Design, Webhooks, Event-Driven Architecture, Microservices
- Databases & Data Stores: PostgreSQL, Relational Schema Design, Data Modeling, Migrations, Redis
- Data Engineering: ETL / ELT Pipelines, Snowflake, Data Warehousing, Outbox Pattern & Event Sourcing
- Cloud Providers: AWS, Google Cloud (GCP), Azure
- Containers & Orchestration: Docker, Docker Compose, Kubernetes
- Delivery & Quality: CI/CD Automation (GitHub Actions), Infrastructure as Code (IaC), GitOps
- Security & Reliability: Cloud Security, IAM Policies, Observability & Structured Logging, DORA Metrics
- Disciplined AI Systems: Designing deterministic workflows separated from probabilistic models with strict approval gates.
- Service-as-Software & Productization: Turning operational domain expertise into containerized, repeatable platforms.
- Consulting & Discovery: Translating high-level business objectives into resilient, measurable engineering deliverables.