A comprehensive, capability-driven technical map detailing competencies across 9 core engineering disciplines, end-to-end AI system architecture, and verifiable production project associations.
01 — AI, LLM & Agent Engineering
Google Gemini, Anthropic Claude, AWS Bedrock, Vertex AI, LangGraph cyclic state machines, LangChain, Multi-Agent Systems, Tool/Function Calling, Human-in-the-Loop governance, Enterprise Hybrid RAG (BM25 + ChromaDB), and context engineering.
02 — Programming & Software Engineering
Python, TypeScript, JavaScript, SQL, Java, C++, Object-Oriented Programming, Data Structures & Algorithms, API Design, and Modular Architecture.
03 — Frontend Engineering
React 19, Next.js 15, Tailwind CSS, Kinetic UI, Component Architecture, State Management, and sub-second Web Performance Optimization.
04 — Backend & API Engineering
FastAPI, Flask, Node.js, Express.js, REST APIs, Microservices, Async Python, Webhooks, and Third-Party System Integration.
05 — Cloud & Infrastructure
Google Cloud (Vertex AI, BigQuery), AWS (Bedrock), Docker containers, Linux SRE, CI/CD automated deployment pipelines.
06 — Databases & Data Engineering
PostgreSQL, Oracle Database, SQL, BigQuery analytics, ChromaDB vector stores, ETL/ELT pipelines, and data modeling.
07 — Enterprise Integration & Automation
ServiceNow REST APIs, Jira, Confluence, Playwright browser automation, and mission-critical enterprise workflow automation.
08 — Development Tools & Workflow
Git, GitHub Actions, VS Code, Linux workstation tools, and systematic debugging.
09 — End-to-End AI System Architecture
Integrated blueprint connecting client UI layers, FastAPI gateways, LangGraph multi-agent runtimes, tool sandboxes, and enterprise databases.