Skills

An evaluation of the technologies, tools, and languages that define my professional stack.

Primary language for backend systems, machine learning pipelines, and data manipulation scripts.

Used to build robust, strongly-typed frontends and backend services, ensuring code reliability.

Core scripting language used for dynamic UI logic, node server utilities, and integration endpoints.

Writing, optimizing, and debugging complex queries, schemas, and indexing for relational databases.

Building production-ready, high-performance async REST APIs with automated OpenAPI documentation.

Developing responsive full-stack applications utilizing the App Router, RSC, and static generation.

Creating asynchronous backend services, scripting CLI tools, and integrating third-party APIs.

Structuring clean, robust middleware, routing subsystems, and RESTful service layers in Node.

Rapidly deploying interactive data science visualization dashboards and ML model interfaces.

Designing workflows to automate tedious corporate processes, handling dynamic data entry.

Structuring transactional, enterprise-grade automations using the standard Robotic Enterprise Framework.

Advanced manipulation of structured files, complex orchestrator cues, and error-handling schemes.

Integrating Gemini LLMs into backend services using prompt engineering, structured JSON outputs, and agents.

Deploying generative workflows, custom system contexts, semantic embeddings, and agent orchestration.

Utilizing Genkit frameworks for structured AI pipeline development, logging, and evaluation.

Implementing standard predictive models (regression, classification, clustering) and feature engineering.

Designing schemas, tuning indexing strategies, and writing complex analytical queries.

Enterprise database querying, handling cloud Azure DB infrastructure, and stored procedures.

Structuring real-time NoSQL databases, writing collection rules, and frontend integration.