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I am a machine learning engineer with a strong foundation in statistics, mathematics, physics, and neuroscience, applying these principles to practical projects across academia, business, healthcare, finance, and entertainment. I thrive on turning complex data into actionable insights and robust ML solutions. I specialize in automating large language model pipelines to reduce hallucinations and keep information up-to-date, using retrieval-augmented generation, ChromaDB, vector embeddings, and chunking. I work with CrewAI, LangChain, and LangGraph to build agent-based systems, and integrate APIs from OpenAI, Hugging Face, and Groq. I also apply parameter-efficient fine-tuning (LoRA, QLoRA) to adapt models efficiently, and design scalable data pipelines with Docker, Kafka, Spark, Elasticsearch, and Grafana for real-time monitoring and analytics.…I am a machine learning engineer with a strong foundation in statistics, mathematics, physics, and neuroscience, applying these principles to practical projects across academia, business, healthcare, finance, and entertainment. I thrive on turning complex data into actionable insights and robust ML solutions. I specialize in automating large language model pipelines to reduce hallucinations and keep information up-to-date, using retrieval-augmented generation, ChromaDB, vector embeddings, and chunking. I work with CrewAI, LangChain, and LangGraph to build agent-based systems, and integrate APIs from OpenAI, Hugging Face, and Groq. I also apply parameter-efficient fine-tuning (LoRA, QLoRA) to adapt models efficiently, and design scalable data pipelines with Docker, Kafka, Spark, Elasticsearch, and Grafana for real-time monitoring and analytics.

Zinga Banda Firmino René

Data Scientist, Data Analyst, Database Developer, +3

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I am a machine learning engineer with a strong foundation in statistics, mathematics, physics, and neuroscience, applying these principles to practical projects across academia, business, healthcare, finance, and entertainment. I thrive on turning complex data into actionable insights and robust ML solutions. I specialize in automating large language model pipelines to reduce hallucinations and keep information up-to-date, using retrieval-augmented generation, ChromaDB, vector embeddings, and chunking. I work with CrewAI, LangChain, and LangGraph to build agent-based systems, and integrate APIs from OpenAI, Hugging Face, and Groq. I also apply parameter-efficient fine-tuning (LoRA, QLoRA) to adapt models efficiently, and design scalable data pipelines with Docker, Kafka, Spark, Elasticsearch, and Grafana for real-time monitoring and analytics.…I am a machine learning engineer with a strong foundation in statistics, mathematics, physics, and neuroscience, applying these principles to practical projects across academia, business, healthcare, finance, and entertainment. I thrive on turning complex data into actionable insights and robust ML solutions. I specialize in automating large language model pipelines to reduce hallucinations and keep information up-to-date, using retrieval-augmented generation, ChromaDB, vector embeddings, and chunking. I work with CrewAI, LangChain, and LangGraph to build agent-based systems, and integrate APIs from OpenAI, Hugging Face, and Groq. I also apply parameter-efficient fine-tuning (LoRA, QLoRA) to adapt models efficiently, and design scalable data pipelines with Docker, Kafka, Spark, Elasticsearch, and Grafana for real-time monitoring and analytics.

Available to hire

I am a machine learning engineer with a strong foundation in statistics, mathematics, physics, and neuroscience, applying these principles to practical projects across academia, business, healthcare, finance, and entertainment. I thrive on turning complex data into actionable insights and robust ML solutions.

I specialize in automating large language model pipelines to reduce hallucinations and keep information up-to-date, using retrieval-augmented generation, ChromaDB, vector embeddings, and chunking. I work with CrewAI, LangChain, and LangGraph to build agent-based systems, and integrate APIs from OpenAI, Hugging Face, and Groq. I also apply parameter-efficient fine-tuning (LoRA, QLoRA) to adapt models efficiently, and design scalable data pipelines with Docker, Kafka, Spark, Elasticsearch, and Grafana for real-time monitoring and analytics.