Interested in research and development activities in ML and AI solutions, specifically focusing on NLP and key information extraction technologies. I have a strong interest in evolutionary algorithms, decision-making, operations research, and optimization techniques, and I utilize these skills to solve real-world problems.
Mentoring, Consultation and anything interesting you are going to do with tech.
Feb 21, 2025 · 4 min read · In recent production systems, especially those leveraging Retrieval-Augmented Generation (RAG) models and fine-tuned LLMs, there has been a growing need for an advanced evaluation approach. Traditional methods rely on human assessment or rule-based v...
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Jan 11, 2025 · 3 min read · Efficient storage and retrieval algorithms are critical to the performance of embedded databases because they directly impact how quickly and accurately queries can be executed. In the context of a Retrieval-Augmented Generation (RAG) system, where e...
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Jan 8, 2025 · 7 min read · Retrieval-Augmented Generation (RAG) enhances Large Language Model (LLM) outputs by integrating trusted data sources. This article explores why .NET and a relational database like PostgreSQL are practical and effective alternatives to Python-based LL...
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Oct 5, 2022 · 5 min read · In recent days, I have come across many questions from various individuals regarding MLOps (Machine Learning Operations). From recruitment agencies, customers, engineers and many more. You are part of an AI / ML Company, do you practice MLOps? It’s...
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