• Part of the AI Innovation Team, building scalable applied AI and automation platforms across Samsung’s U.S. semiconductor divisions.

• Architected an enterprise-wide RAG chatbot with multimodal input, hybrid retrieval (ElasticSearch, Qdrant, GraphDB), and org-wide knowledge access.

• Developed an NLP-driven patent drafting system that auto-generates legal/technical documents, accelerating patent submission workflows.

• Built ML-powered tools for patent analysis and prior-art search, using transformer and retrieval models for concept extraction and visualization.

• Created DeepResearch agents (Crawl4AI + LangChain) for intelligent web scraping, knowledge-gap detection, and automated reporting.

• Automated enterprise processes via n8n-based AI workflows, enabling agent-driven email generation, task orchestration, and logistics automation.

• Engineered document-processing pipelines (Granite Docling, Pandoc) for extracting structured insights from unstructured files.

• Developed meeting summarization & diarization pipelines using Pyannote and corrective LLM models for accurate speaker attribution.

• Managed deployment of LLM inference, embedding, and reranker models (Maverick, GPT OSS, Scout) across multi-GPU clusters with Docker & Kubernetes.

• Cut $42K/year in operational costs by migrating GPU workloads from AWS to in-house servers, improving performance and control.

• Integrated Jira, Confluence, and SharePoint with AI agents for unified contextual retrieval and enterprise knowledge graphing.

• Led cybersecurity adoption (MFA, key-based auth, encryption) and contributed to Samsung’s Cybersecurity Champions Program.

Delivered enterprise modernization and automation for Phoenix Contact, a leading German manufacturer of industrial automation systems.

• Collaborated with global cross-functional teams (engineering, security, and infrastructure) to align industrial automation software with enterprise compliance and scalability standards.

• Developed full-stack web applications using Vue.js + Nuxt + Vite, improving modularity, scalability, and performance across multiple enterprise systems.

• Engineered native Web Components using HTML Templates, Shadow DOM, and Vue Custom Elements, enabling framework-agnostic UI reuse across global projects.

• Built reusable component libraries and visual design guidelines with Storybook, standardizing UX/UI patterns across engineering teams.

• Implemented ML-powered dynamic pricing and product-recommendation systems, optimizing inventory planning and customer engagement.

• Developed microservices and APIs using Spring Boot and Node.js, integrating with Kafka pipelines for real-time event processing and streaming analytics.

• Automated form and webhook systems, streamlining business process workflows and reducing manual effort.

• Integrated GDPR / CCPA compliance through Cookiebot and secure consent management workflows.

• Configured and managed Okta OAuth 2.0 authentication, implementing granular roles, access policies, and MFA across distributed systems.

• Optimized build and deployment pipelines using Vite and Webpack (tree-shaking, code-splitting, lazy-loading), improving load performance and maintainability.

• Developed automated E2E testing pipelines with WebdriverIO, Cucumber, and Jest, increasing release confidence and stability.

Built secure, data-driven healthcare platforms for Cerner, a global healthcare technology leader.

• Developed full-stack healthcare applications using React.js + Next.js, Redux, and TypeScript, improving usability, performance, and accessibility for clinicians.

• Built modular UI systems and reusable Web Components, documented via Storybook, ensuring design consistency and faster delivery across teams.

• Engineered REST and GraphQL APIs using Node.js + Express.js, integrating with PostgreSQL, MongoDB, and Redis for efficient data storage and retrieval.

• Implemented JWT / OAuth 2.0–based authentication and secure session handling to protect sensitive patient data under HIPAA standards.

• Developed microservices for modular deployment and scalability, improving system reliability and maintainability.

• Integrated analytics and SEO tracking using Google Tag Manager and Google Analytics to gather product insights and optimize workflows.

• Configured automation pipelines using GitLab CI/CD, enabling continuous integration, testing, and zero-downtime deployments.

• Developed E2E and regression automation frameworks with WebdriverIO, Cucumber, and Jest, ensuring release reliability across multiple modules.

• Optimized backend query performance and caching layers, reducing average API response latency by over 25%.

• Deployed applications on AWS (EC2, S3, CloudFront) to ensure scalability, availability, and data durability across distributed environments.

• Collaborated with cross-functional teams in engineering, QA, and compliance to deliver secure, high-availability healthcare systems on time.

• Developed scalable, Java-based enterprise applications for IBM, focusing on performance, security, and system reliability.

• Built and maintained web applications using Java, Spring, and JSP/Servlets for mission-critical systems.

• Optimized queries and stored procedures in Oracle PL/SQL and MySQL to improve data efficiency.

• Enhanced performance and stability by refactoring legacy code and integrating secure authentication modules.

• Contributed to full SDLC, from design through deployment and testing (JUnit), ensuring smooth releases.