- βοΈ You can contact me at [email protected]
- π€ I'm open to collaborating on interesting projects
| Project | Description | Tech Stack |
|---|---|---|
| Legal AI Assistant | An AI assistant tailored for legal document analysis, summarization, and querying using RAG. | LangChain, Streamlit, VectorDBs, LLMs |
| Gemini AI Researcher | An AI research agent that uses Google's Gemini to find information and provide accurate citations. | Google Gemini API, Python, LangChain, Streamlit |
| Local LLM Agent w/ Monitoring | An autonomous agent built with local LLMs that includes real-time monitoring for performance and drift. | Python, LangChain, Ollama, Prometheus |
| Company Researcher Agent | An autonomous agent designed to research companies, gather public data, and generate summary reports. | LangChain Agents, SerpAPI, LLMs, Python |
| Advanced RAG Techniques | An implementation of advanced RAG techniques and strategies sourced from recent academic papers. | Python, LangChain, PyTorch, VectorDBs |
| Local Text-to-Image | A locally-run text-to-image generator powered by the DeepSeek-Janus multimodal model. | DeepSeek, Python, Gradio, Transformers |
| RAG Project Testbed | An experimental project to test and evaluate various Retrieval-Augmented Generation techniques. | Python, LangChain, VectorDBs, Hugging Face |
- Technical writing (ML & DevOps)
- Machine Learning (LLMs, Computer Vision)
- DevOps (AWS, EdgeStack, GCP, Kubernetes, Jenkins, Pulumi)
- Data Science
- Web Development (HTML, CSS, JS, Django)
- Mobile development (Flutter)
- Web3
- Hallucination in Large Language Models
- Vector Database: What is it and why you should know it?
- LLMs on Trial: Understanding LLM Evaluation Benchmarks
- Understanding Docs-as-Code
- Building Topical Relevance for Your SaaS Product: A Guide for Tech Teams
- The AI Product Problem
- Kubernetes Development Environments: From Local to Remote
- How to Automate Data Drift Thresholding in Machine Learning
- Ambassador Edge Stack vs Traefik vs NGINX
- Using Knative and Ambassador Edge Stack to Handle Traffic
- Secrets Management With GitOps and Kubernetes
- Opta vs Pulumi
- How to Choose the Right Solution for Machine Learning Monitoring
- Machine learning as a service,
- Explainability and Auditabilty in Machine Learning
- ML Monitoring vs ML Observabilty
- Tokenomics in Web3
- Azure ML Alternatives for MLOps,
- How to solve Reproducibilty in Machine Learning
- What is Kubernetes Lens
- Building Machine Learning Chatbots: Choose the Right Platform and Applications
- How to Improve Model Performance with ML Monitoring
- Best Data Lineage Tools
- Blockchain Simplified
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