Jun 2020 – Present · 5 yrs 11 mos · Remote

• Tech Stack: Python, RAG, LLM, Llama cpp, langchain, Streamlit, Java, Spring Boot, JUnit, SonarQube, OCI, Redis, PostgreSQL, Docker, GitHub Actions, Next.js, TypeScript, Keycloak, NextAuth, ArgoCD, next-intl
• Developed ML-powered NLP models using Retrieval-Augmented Generation (RAG) and embedding techniques.
• Automated manual workflows, reducing repetitive tasks by 60–70%.
• Integrated open-source LLMs to enhance language processing capabilities within internal tools.
• Built and maintained internal Python and TypeScript SDKs/libraries, improving developer productivity and reusability.
• Designed and consumed REST and GraphQL APIs to enable seamless integration between microservices and client applications.
• Authored technical documentation and developer guides for SDKs, APIs, and workflows, enabling faster onboarding and better developer adoption.
• Published reusable packages to PyPI and npm, streamlining internal tool distribution.
• Built regression models for predictive analytics, achieving 90%+ accuracy.
• Built dynamic and responsive front-end applications using ReactJS and AngularJS, enhancing user experience and engagement.
• Increased backend reliability by raising test coverage to 90%+ with unit and integration tests, significantly reducing
• production bugs.
• Implemented and optimized CI/CD pipelines with GitHub Actions, applying semantic versioning and automated re
• leases.
• Resolved critical SonarQube vulnerabilities and automated static code analysis using GitHub Actions, improving
• maintainability and compliance.
• Integrated Keycloak for user authentication and authorization, strengthening application security.