Profile

Who I am

A quick overview of my background, what I build, and the kind of engineering work I enjoy most.

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.

Current Direction

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

Work Preference

Remote, Hybrid

Vision

My vision is to build intelligent software products that make businesses smarter, workflows faster, and user experiences more meaningful through the combination of engineering excellence and applied AI.

Mission

My mission is to deliver secure, scalable, and modern digital solutions by combining full-stack development, cloud-native architecture, and practical AI systems that solve real business problems.

Story

More about me

Additional background, thinking, and context behind my work.

I am a results-driven Applied AI and Full Stack Engineer with a strong foundation in enterprise application development, cloud-native deployment, and intelligent product design. With over 5 years of hands-on experience, I have worked across modern backend systems, interactive frontends, real-time workflows, and AI-assisted product features. My technical background spans Java, Spring Boot, NestJS, SQL, Angular, Flutter, AWS, Docker, Kubernetes, and modern software delivery practices. Alongside my engineering expertise, I have also built practical machine learning and AI-driven capabilities including recommendation systems, forecasting models, anomaly detection, prompt-based workflows, and vector-search-powered product ideas. I am especially focused on creating software that is not only technically strong, but also useful, scalable, and aligned with business goals. Whether I am building multi-role platforms, admin dashboards, API ecosystems, or AI-enhanced digital experiences, I bring a balanced approach of architecture, performance, usability, and innovation. 

Specializations

Full stack application developmentApplied AI integration in digital productsSecure authentication and RBAC systemsREST API and microservice architectureReal-time ordertrackingand notification systemsCloud deployment and CI/CD pipelinesAdmin dashboards and operational toolsData-driven product workflows and experimentation

Quick summary

Experience: 5+ Year

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

Stacks: 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