Agentic AI & RAG Systems
Designing production-grade agentic pipelines with RAG using pgvector and FAISS, enabling deep semantic code analysis and context-aware vulnerability detection.
I build scalable backends, agentic AI pipelines and the cloud systems that run them.
Bridging backend engineering with AI, from REST APIs to agentic RAG pipelines and cloud-native deployments.
Designing production-grade agentic pipelines with RAG using pgvector and FAISS, enabling deep semantic code analysis and context-aware vulnerability detection.
Building high-performance async services with FastAPI, Celery, and Redis for distributed task queuing—powering scalable backends integrated with AI-driven automation pipelines.
Deploying containerized applications on AWS EKS and Lambda via Jenkins CI/CD pipelines, with hands-on orchestration using Docker and Kubernetes.
Developer tools and AI infrastructure.
A VS Code extension with a built-in MCP server that turns your GitHub repo into a structured library of AI instruction skills.
A sovereign AI code reviewer. It synthesizes codebase patterns to provide contextual fixes and automated documentation.
A local-first developer sandbox that uses Llama3 to generate production-ready boilerplate from architectural diagrams.
Graph-based dependency visualizer that uses LLMs to identify architectural bottleneck and circular dependencies.
Automated technical specification generator that analyzes multi-file PR diffs to create high-level architectural summaries.
From trainee to Software Engineer II at UST, since April 2024.
Engineered a high-performance code scanning tool to identify security vulnerabilities. Designed and implemented a robust data pipeline to process and index security data into a FAISS vector database, enabling rapid, context-aware threat analysis and automated fix suggestions.
Built a serverless AWS Lambda pipeline for anonymized financial test data. Implemented an end-to-end ticket automation system with FastAPI and Next.js, reducing manual workload by 40%.
Developed and maintained RESTful APIs using Java and Spring Boot. Built responsive frontend components with Angular and TypeScript. Assisted in deploying containerized applications to AWS via Jenkins CI/CD pipelines.
Languages, frameworks and platforms I ship with.
JavaPythonSpring BootFastAPIReactNext.jsAngularAWSDockerKubernetesPostgreSQLAgnoLangChain
Backend, full-stack and AI engineering. The fastest way to reach me is email.