- Built a full-stack vision-based RAG SaaS as a solo founder
- Designed a scalable document ingestion and indexing pipeline
- Improved retrieval quality using agentic RAG techniques
Next.jsConvexLanceDBFastAPIRAGLangChain
- Implemented AI agent orchestration using CrewAI
- Deployed Ollama with an open-source LLM (OpenHermes)
- Built an interactive Streamlit UI
PythonCrewAIOllamaStreamlit
- Integrated Stable Diffusion with IP-Adapter for face conditioning
- Built a high-performance FastAPI backend
- Designed a user-friendly Streamlit interface
PythonStable DiffusionFastAPIStreamlit
- Bypassed the NASA NEO API’s 7-day limit to enable up to 31 days of asteroid data analysis
- Implemented sortable tables and CSV export for data-driven research and analysis
- Built an intuitive Streamlit interface for quick exploration
PythonStreamlitNASA NEO APIPandas
- Implemented real-time currency conversion using ECB-backed exchange rates refreshed daily
- Built interactive time-series charts to analyze historical currency trends
- Enabled CSV export of historical exchange rate data for offline analysis
PythonStreamlitFrankfurter APIPandas
- Developed a high-performance detection model using PyCaret and LightGBM
- Achieved 98% F1 score and 97% precision in identifying risky forms
- Reduced manual form review workload by 20%
- Built a Bootstrap/PHP interface with a FastAPI backend
- Designed a SQL database to track predictions and optimize retraining intervals
PythonPyCaretLightGBMFastAPISQLBootstrapPHP
- Developed a recommendation system using SBERT embeddings
- Identified semantically similar form templates with high accuracy
- Mined large-scale form templates using Selenium
- Built a responsive Bootstrap/PHP frontend with a FastAPI backend
PythonSBERTSeleniumFastAPIBootstrapPHP
- Used YOLOv5 for object detection
- Applied Kalman Filters for trajectory forecasting
- Visualized predictions in real time with Streamlit
PythonPyTorchOpenCVStreamlit