Senior Cloud + AI Consultant specializing in end-to-end product development across mobile, web, and machine learning. I build practical systems that solve real-world problems — from native mobile apps to cloud infrastructure to applied ML/NLP pipelines.
BestieBites
Cross-platform meal analysis application with native iOS and Android clients, cloud backend, and ML-powered nutritional insights.
ChinTranslator
Speech-to-text and translation pipeline for Hakha-Chin, a low-resource language. Fine-tuned Whisper model for improved accuracy in underserved linguistic communities.
MedicalPaperSummarizer
NLP-powered tool for extracting actionable insights from medical literature, enabling faster research synthesis and clinical decision support.
Machine Learning & AI
Applied machine learning with an emphasis on production-ready systems. Experience across NLP, computer vision, and speech-to-text, including model fine-tuning and evaluation.
- PyTorch, TensorFlow
- HuggingFace Transformers, Whisper
- LLM fine-tuning, prompt engineering, vector embeddings
- NLP summarization, computer vision, speech-to-text
- Model evaluation, data labeling pipelines
- Azure AI, OpenAI APIs
Backend & Data
Designing and building ML-backed services, APIs, and data pipelines that integrate cleanly with applications.
- Python, SQL, Node.js
- REST APIs, async services
- Azure Functions, App Services, Cosmos DB, Azure SQL
- Data ingestion and transformation workflows
Frontend
Enough frontend depth to build usable ML-driven products end-to-end, not just models in isolation.
- TypeScript, JavaScript
- Angular, React
- Practical UI for model interaction, visualization, and feedback loops
Cloud & Infrastructure
Deploying, monitoring, and operating ML systems in real environments.
- Azure (Functions, Storage, Key Vault, API Management, Data Factory)
- Google Cloud Platform
- CI/CD, Git, Azure DevOps
- Secure configuration, environment separation, service integration