• Provide full-stack technical support for Shopify APIs, custom apps, and Liquid storefronts

• Debug GraphQL/Admin/Storefront API issues across Node.js, React, and Liquid codebases

• Guide developers on Shopify CLI, App Bridge, OAuth, and embedded app flows

• Investigate performance issues, webhook delivery, and app installation errors

• Collaborate with RnD teams to improve platform reliability and developer tooling

• Contribute to internal knowledge base and debugging scripts to reduce resolution time

• Support themes and Hydrogen storefronts with SSR, routing, and deployment via Oxygen

– Developing a Document-GPT internal tool using LlamaExtract and RAG to extract structured data from 10+ multi-format insurance PDFs, improving document processing speed and accuracy.

– Integrated Qdrant (vector DB) and LlamaIndex to enable fast, context-aware retrieval and schema-aligned extraction across unstructured documents.

– Optimized extraction pipelines and refined prompt strategies, boosting field-level extraction precision and reducing manual review time by over 40%.

– Developed custom AI chatbots leveraging AWS (S3, Lambda, EC2, CDK), OpenAI API, and Python, integrating

– RAG workflows with vector-based embedding search using PostgreSQL, FAISS, and optimized NLP pipelines.

– Designed 10+ client-specific chatbot demos using Svelte, Tailwind CSS, and DaisyUI, integrating Beautiful-

Soup/Selenium scrapers for embedding generation, NLP pipelines, and vector databases.

– Automated CI/CD pipelines with GitHub Actions, integrating Slack for real-time updates on builds, deployments,

and Git activities, while ensuring seamless Vercel integration for rapid testing and deveplopment previews.

– Provided Tier 2 technical support for 10+ full-stack web applications, identifying and resolving issues in real-time,

including debugging React.js components and optimizing backend performance in Node.js and PostgreSQL.

– Collaborated with development and DevOps teams to debug API integrations and optimize SQL/NoSQL database

queries, leveraging Python, Bash, and PowerShell scripts to automate troubleshooting and reduce downtime.

– Supported CI/CD pipelines with scripting for automation, managed Git workflows, and monitored system performance

across Linux, macOS, and Windows environments using tools like Postman, New Relic, and Splunk.

• Collaborated closely with Dr. Sanem Ergin to develop research studies, leveraging

Python to design surveys, collect and analyze data, and interpret results.

• Engineered a course organizer program using Python and JavaScript, significantly

improving the efficiency of organizing semester courses.

• Delivered interactive lectures and organized hands-on lab sessions on data analysis

and visualization, utilizing SPSS, Python, and JavaScript.

• Contributed to the development and maintenance of web-based applications,

employing JavaScript frameworks.