Remote: Yes, open to working with international teams
Willing to relocate: Yes
Technologies: Python, SQL, Generative AI, LLMs, Prompt Engineering, Fine-tuning, Embeddings, Semantic Search, Elasticsearch, Re-ranking, Neo4j, Retrieval Systems, BigQuery, GCP, PostgreSQL, Streamlit, Data Pipelines, APIs, Automation, Model Evaluation and Monitoring, n8n
Résumé/CV: ask in my email below
Email: nothingcomeaseasy@protonmail.com
I am an AI and Data professional with hands-on experience building and improving production AI systems. My work includes LLM-based extraction from text, audio, images and PDFs, semantic product search, embedding evaluation, Elasticsearch retrieval, graph-based re-ranking with Neo4j, fine-tuning, labeling workflows and continuous model evaluation.
I have worked across the full lifecycle of AI projects, from investigating unclear business problems and designing experiments to implementation, production deployment and monitoring. I am particularly interested in Senior AI Engineer, Applied AI, Search/Relevance, RAG, Data/AI Lead and AI Solutions roles.
I can see this being true to a lot of old jobs, like my brother's first job that basically was to transcribe audio tapes. whisper can do it in no time, that's crazy.
I am a versatile Data Analyst and Generalist with a rich background in data analysis and product development. My expertise spans across creating actionable insights through analytics, driving data-oriented cultures, and engaging with customers to meet their needs effectively. With experience in Google BigQuery, Looker Studio (Google Data Studio), PostgreSQL, and Python, I have led projects in data integration, dashboard creation, and machine learning applications (although I'm not fluent/specialist in ML).
Most recently I'm working with AI, LLMs (finetuning openai models), OCR, working with different embeddings and dimensions (cohere, mixedbread, openai) etc.
Remote: Yes, open to working with international teams
Willing to relocate: Yes
Technologies: Python, SQL, Generative AI, LLMs, Prompt Engineering, Fine-tuning, Embeddings, Semantic Search, Elasticsearch, Re-ranking, Neo4j, Retrieval Systems, BigQuery, GCP, PostgreSQL, Streamlit, Data Pipelines, APIs, Automation, Model Evaluation and Monitoring, n8n
Résumé/CV: ask in my email below
Email: nothingcomeaseasy@protonmail.com
I am an AI and Data professional with hands-on experience building and improving production AI systems. My work includes LLM-based extraction from text, audio, images and PDFs, semantic product search, embedding evaluation, Elasticsearch retrieval, graph-based re-ranking with Neo4j, fine-tuning, labeling workflows and continuous model evaluation.
I have worked across the full lifecycle of AI projects, from investigating unclear business problems and designing experiments to implementation, production deployment and monitoring. I am particularly interested in Senior AI Engineer, Applied AI, Search/Relevance, RAG, Data/AI Lead and AI Solutions roles.
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