Building AI-powered solutions for modern businesses
Software Engineer and Full Stack Developer with 4 years of experience specialized in translating business ideas into efficient, scalable software solutions.
Retrieval-Augmented Generation system indexing 5,000+ activities with text-embedding-ada-002, stored in a vector database with metadata filters. Reduced hallucinations by 30% by grounding Claude in real activity data.
Computer Vision project using YOLOv7 for object detection and classification of military aircraft with CNNs.
Two-stage candidate screening system with algorithmic filtering followed by LLM analysis with structured JSON outputs. 75% reduction in screening time.
Chat application addressing Software Architecture quality attributes with server-client and P2P versions.
Zero-shot image classification system leveraging CLIP embeddings to match images with text descriptions in a shared vector space. Automated aesthetic matching for destination pages without training custom classifiers.
Web application for document upload and processing using AWS Textract for OCR, with LLM integration to improve accuracy and extract key data in clean, structured JSON format.
Automated content curation system using CLIP for semantic image-text matching across 20,000+ images. Multi-source integration with Google Search, Unsplash, and OpenAI Vision.
Database solution for real-world security control using PostgreSQL with triggers, stored procedures, and AWS RDS.
Autonomous system that processed 5,000+ books using chunking strategies, sequential LLM processing, and DALL-E cover generation. 99.2% success rate with overnight batch processing.
Retrieval-Augmented Generation system indexing 5,000+ activities with text-embedding-ada-002, stored in a vector database with metadata filters. Reduced hallucinations by 30% by grounding Claude in real activity data.
Chat application addressing Software Architecture quality attributes with server-client and P2P versions.
Automated content curation system using CLIP for semantic image-text matching across 20,000+ images. Multi-source integration with Google Search, Unsplash, and OpenAI Vision.
Computer Vision project using YOLOv7 for object detection and classification of military aircraft with CNNs.
Zero-shot image classification system leveraging CLIP embeddings to match images with text descriptions in a shared vector space. Automated aesthetic matching for destination pages without training custom classifiers.
Database solution for real-world security control using PostgreSQL with triggers, stored procedures, and AWS RDS.
Two-stage candidate screening system with algorithmic filtering followed by LLM analysis with structured JSON outputs. 75% reduction in screening time.
Web application for document upload and processing using AWS Textract for OCR, with LLM integration to improve accuracy and extract key data in clean, structured JSON format.
Autonomous system that processed 5,000+ books using chunking strategies, sequential LLM processing, and DALL-E cover generation. 99.2% success rate with overnight batch processing.
I don't just write code — I need to understand the why behind it. I estimate timelines, break down problems, propose technologies, and debate trade-offs with founders. I like being part of the decisions, not just executing them.
AI is not a buzzword in my workflow — it's how I operate. Claude Code, Cursor, LLM APIs in production. RAG pipelines, embeddings, prompt engineering — not because it's trendy, but because it lets me ship faster.
I own projects from idea to production — backend, frontend, infrastructure, deployment. I pick whatever tool solves the problem best, not whatever I'm most comfortable with. That's how I've always worked.