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Silas R. AI, Machine Learning and General Development

My name is Silas R. and I have I specialize in the following technologies: Python, LangChain, Make.com, Machine Learning, Deep Learning, etc.. I hold a degree in Bachelor's. Some of the notable projects I've worked on include: Automations/Make/Airtable - Hourly, Object detection using ML & YOLO, AI Chatbot using RAG, Text to SQL with NLP. I am based in Juneau, United States. I've successfully completed 4 projects while developing at Softaims.

My expertise lies in deeply understanding and optimizing solution performance. I have a proven ability to profile systems, analyze data access methods, and implement caching strategies that dramatically reduce latency and improve responsiveness under load. I turn slow systems into high-speed performers.

I focus on writing highly efficient, clean, and well-documented code that minimizes resource consumption without sacrificing functionality. This dedication to efficiency is how I contribute measurable value to Softaims' clients by reducing infrastructure costs and improving user satisfaction.

I approach every project with a critical eye for potential bottlenecks, proactively designing systems that are efficient from the ground up. I am committed to delivering software that sets the standard for speed and reliability.

Main technologies

  • AI, Machine Learning and General Development

  • Python

    1 Year

  • LangChain

    1 Year

  • Make.com

    1 Year

Additional skills

Direct hire

Potentially possible

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Experience Highlights

Automations/Make/Airtable - Hourly

All transactions for this company were registered in Airtable. To build a user-friendly CRM system, I filtered the database by items like "campaign," "date," and so on. Then, I created new tables in

Object detection using ML & YOLO

This technology enables object detection from various sources such as videos and images. By implementing these technologies, you can identify and track specific objects of interest. I also developed a

AI Chatbot using RAG

I built an AI assistant chatbot using a RAG(Retrieval-Argumented Generation). This bot was trained on a specific website’s database, so when a client asks a question, the bot retrieves accurate answer

Text to SQL with NLP

This project is designed to retrieve information from a SQL database using natural language queries. When a client enters a query in natural language, our bot analyzes it in the context of the databas

Education

  • Bachelor's in Computer Science

Languages

  • English