About
A little more context about how I think, build, collaborate, and continue developing as an engineer.
I am an Applied AI and Full Stack Engineer with 5+ years of experience building enterprise and consumer-facing platforms across Java, Spring Boot, Node.js, NestJS, SQL, and modern frontend technologies. I combine strong software engineering fundamentals with practical AI implementation to create products that are scalable, user-focused, and ready for real-world deployment.
My background spans backend systems, cloud infrastructure, modern web development, and machine learning prototypes. I focus on building high-impact digital solutions, including REST APIs, microservices, authentication systems, real-time workflows, cloud deployments, recommendation and forecasting prototypes, and AI-powered user experiences.
Experience
5+ Year
Primary focus
Applied AI product development, Full stack web application engineering, Enterprise backend architecture, AI-powered digital experiences, Real-time systems and workflow automation, Scalable cloud-native deployment, Business-focused software solutions
Core stack
Java 17, Spring Boot, Spring MVC, JPA/Hibernate, NestJS, REST APIs, OAuth2, JWT, Angular, TypeScript, JavaScript, HTML, CSS, Flutter, Python, Pandas, NumPy, scikit-learn, prompt engineering, OpenAI API, embeddings, vector search, RAG basics, MySQL, Oracle, SQL Server, MongoDB, Kafka, RabbitMQ, AWS, Docker, Kubernetes, OpenShift, Jenkins, GitHub, SonarQube
Location preference
Remote, Hybrid
Strengths
Specializations
Current focus
Building AI-powered product experiences, Strengthening LLM integration, prompt engineering, and vector search workflows, Expanding my skills in PyTorch and Hugging Face Transformers, Learning LLMOps, evaluation tooling, and model-serving patterns, Exploring vector databases, FastAPI, SageMaker, Airflow, and dbt for AI pipelines, Designing production-ready AI features that integrate directly into web products