Language Breakdown
Lines of code distribution across 24 owned repositories
I-Shaped Developer
I-shapedSpecialist β deep expertise in JavaScript
Collaboration Network
Global Impact visualization
Repos
25
PRs
0
Growth
+18%
Top Collaborators
No collaborator data yet.
Coding Streak
Contribution activity over the past year
Max Muller
@MMVonnSeek
Dilshan Kumarasingha
@Dilshan-Kumarasingha
Mohammad Hoseinkhani
@mohammadh1
Neylor Cesar
@NeylorCesar
S4IL
@S4IL21
Top Repositories
A comprehensive full-stack healthcare application that leverages AI-powered voice interactions for patient triage, symptom analysis, specialist mapping, and appointment booking. It is built with modern technologies including FastAPI, PostgreSQL, React, and integrated with leading AI models like Gemini and GPT-4.
A flexible, production-ready agent orchestration system that enables multiple specialized AI agents to work together to solve complex tasks through coordinated execution with proper concurrency handling, retries, and timeout management.
Stop surprise API bills before they happen. API Spend Guard is a read-only, multi-provider cost monitoring platform for teams using OpenAI, Anthropic, GCP, and other AI/API services. It aggregates spend into one dashboard and sends real-time alerts when usage crosses your custom thresholds.
Portable, independent, web-based, simple streaming YouTube video queues and playlists for music videos, audiobooks, etc.
This repository contains an 'agent' which can take in a URL, and generate a Twitter & LinkedIn post based on the content of the URL. It uses a human-in-the-loop (HITL) flow to handle authentication with different social media platforms, and to allow the user to make changes, or accept/reject the generated post.
A conference call implementation using WebRTC, Socket.io and Node.js
A hybrid RAG chatbot that answers financial and tax questions using structured data, regulatory documents, and AI-powered retrieval. Built with Django, FAISS, NetworkX, and OpenAI.
LLMs are trained on a large but fixed corpus of data, limiting their ability to reason about private or recent information. Fine-tuning is one way to mitigate this, but is often not well-suited for factual recall and can be costly. Retrieval augmented generation (RAG) has emerged as a popular and powerful mechanism to expand an LLM's knowledge base
β Ingest and index DICOM image metadata (.dcm and from zip archives) β Analyze DICOM image metadata with SQL and Machine Learning. β View, segment, label DICOM Images with OHIF viewer integrated into Lakehouse Apps and Databricks security model. β One button push to launch model training from OHIF viewer. β NVIDIA's MONAI Integration, AI to automat
Open Source Impact
Contributions to external projects
