About Me

GenAI Engineer & Full-Stack Developer

Background

I'm an AI Engineer with 10+ years of software engineering experience, specializing in production LLM applications and MLOps infrastructure. My journey spans from traditional full-stack development to cutting-edge AI systems, combining deep technical expertise with a focus on building reliable, production-grade solutions.

Expertise

I specialize in building production AI systems with systematic evaluation frameworks, complete observability, and regression testing. My work includes designing domain-agnostic AI infrastructure templates, implementing medical data extraction platforms with enterprise MLOps practices, and creating full-stack applications with modern web technologies.

Approach

I believe in quality-first engineering with strong foundations in SOLID principles, type safety, and comprehensive testing. Whether working with LLMs, designing scalable infrastructure, or building user-facing applications, I focus on solutions that are maintainable, observable, and deliver real business value.

Skills & Technologies

LLM & GenAI

Large Language Models and Generative AI technologies

AWS BedrockOpenAI APILangChainLangGraphLangSmithPrompt EngineeringPrompt VersioningMulti-turn Conversational AIAI AgentsRAG (Retrieval-Augmented Generation)Vector EmbeddingsSemantic SearchFine-TuningStreaming Responses (SSE)LLM-as-JudgeToken ManagementCost Optimization

MLOps & Production AI

Production-grade AI systems and observability

Systematic EvalsAI TracingQuality GradingBacktestsRegression TestingA/B TestingModel Performance MonitoringDataset ManagementDataset CurationModel RegistryMLflowEvaluation FrameworksScorecard SystemsProduction Deployment

Python & ML Frameworks

Python development and machine learning libraries

PythonFastAPIPydanticPyTorchTensorFlowHugging Face TransformersCeleryPyPDF2NumPyPandasPytest

Databases & Vector Search

Data storage and semantic search technologies

PostgreSQLpgvectorDynamoDBRedisFAISSSQLAlchemyPrisma ORMPineconeWeaviateMongoDBSQL ServerFirebase

Cloud & Infrastructure

Cloud platforms and DevOps tools

AWS (Lambda, S3, Bedrock, SageMaker)Azure (DevOps, ML Studio)DockerDocker ComposeKubernetesAWS CDKTerraformCoolifyPrometheusGrafanaLokiApache KafkaCI/CD PipelinesGitHub ActionsArgoCD

Full-Stack Development

Frontend and backend web development

ReactNext.jsAngularTypeScriptJavaScriptC#.NETNode.jsNestJSExpress.jsTailwindCSSViteResponsive DesignRxJSNGRXState ManagementREST APIsgRPC APIs

Development & Testing

Code quality, testing, and development practices

GitGitHubSOLID PrinciplesDRY PrincipleAgile/ScrumE2E TestingPlaywrightAPI DocumentationPostmanTypeScript Strict ModeESLintCode ReviewDataDogLogging & Monitoring

Experience Highlights

Production AI Systems

Built medical data extraction platforms with systematic evaluation frameworks, LangGraph agents, and complete observability using custom traces and LangSmith integration.

MLOps Infrastructure

Designed and deployed self-hosted MLOps platforms with compositional prompt architecture, evaluation frameworks, and complete observability stacks using Prometheus, Grafana, and Loki.

Full-Stack Development

Developed production applications spanning desktop (Electron), web (Next.js, React), and backend (FastAPI, Node.js) with payment integration, authentication, and comprehensive testing.

Cloud & DevOps

Deployed and managed applications on VPS with Docker, Coolify, Kubernetes, and AWS services. Implemented CI/CD pipelines, automated deployments, and infrastructure as code.

Quality & Testing

Implemented comprehensive testing strategies including 298 E2E tests with 100% pass rate, systematic evaluations for AI systems, and regression testing frameworks.

Interested in working together?

I'm always open to discussing new projects, opportunities, or ideas.

Send me an email