I build practical systems around AI, security automation, and scalable web platforms.
My focus is on designing solutions that are reliable, efficient, and usable in real-world environments.
- 🤖 AI systems that integrate LLMs with external tools
- 🔐 Security automation, SOC-style workflows, and log intelligence
- 🧠 RAG pipelines, semantic search, and AI agent orchestration
- 🌐 Full-stack applications using React, Python, and cloud platforms
- 🐳 Containerized systems with Docker for scalable deployments
Languages
- Python, TypeScript, SQL
Frameworks & Tools
- FastAPI, Firebase, Docker, Git, Figma, Copilot
AI / ML
- NLP, Computer Vision, LLM systems
- RAG, LangChain, CrewAI, MCP
- Azure AI & applied AI pipelines
Cloud & Systems
- Azure, GCP
- Linux (Ubuntu Server)
- Docker-based architectures
Real-time proctoring platform with:
- Identity verification
- Multi-stream monitoring
- Face recognition
- Anomaly detection
Stack: React, Python, Azure ML, OpenCV
An intelligent workflow system that:
- Prioritizes citizen requests
- Routes cases automatically
- Uses AI to assist decision making
Stack: Gemini, Vertex AI, BigQuery, Firebase
- Finalist – Google Cloud Gen AI Exchange Hackathon 2025 (Top 10 Nationwide)
- Best Paper Award (2024) – AI-driven ATS & Interview Automation
- MSME Hackathon Finalist – AI-based HR automation platform pitch
- StartupTN Design Thinking Recognition (2024)
- GitHub: https://github.com/redwindow17
- LinkedIn: https://www.linkedin.com/in/halish-richard-j
- Portfolio: https://halish.redwindow.tech