Sergiu Nicoara - AI Engineer,

AI Engineer

ML EngineerIT

𝗔𝗜 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 focused on 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗴𝗿𝗮𝗱𝗲 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 systems, 𝗮𝗴𝗲𝗻𝘁𝗶𝗰 𝘄𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀, and scalable 𝗥𝗲𝘁𝗿𝗶𝗲𝘃𝗮𝗹-𝗔𝘂𝗴𝗺𝗲𝗻𝘁𝗲𝗱 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻 (𝗥𝗔𝗚) platforms. I design and deploy reliable LLM-powered applications with 𝗱𝗲𝘁𝗲𝗿𝗺𝗶𝗻𝗶𝘀𝘁𝗶𝗰 𝗼𝗿𝗰𝗵𝗲𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻, 𝗽𝗲𝗿𝘀𝗶𝘀𝘁𝗲𝗻𝘁 𝗺𝗲𝗺𝗼𝗿𝘆, and 𝗿𝗶𝗴𝗼𝗿𝗼𝘂𝘀 𝗲𝘃𝗮𝗹𝘂𝗮𝘁𝗶𝗼𝗻. My core expertise is building 𝗺𝘂𝗹𝘁𝗶-𝗮𝗴𝗲𝗻𝘁 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 using 𝗟𝗮𝗻𝗴𝗚𝗿𝗮𝗽𝗵 and 𝗔𝘂𝘁𝗼𝗚𝗲𝗻, with strong focus on 𝗌𝗍𝖺𝗍𝖾𝖿𝗎𝗅 𝗈𝗋𝖼𝗁𝖾𝗌𝗍𝗋𝖺𝗍𝗂𝗈𝗇, 𝗍𝗈𝗈𝗅 𝗂𝗇𝗍𝖾𝗀𝗋𝖺𝗍𝗂𝗈𝗇, and 𝗋𝖾𝗉𝗋𝗈𝖽𝗎𝖼𝗂𝖻𝗂𝗅𝗂𝗍𝗒. I build end-to-end RAG pipelines with vector databases such as 𝗠𝗶𝗹𝘃𝘂𝘀, 𝗪𝗲𝗮𝘃𝗶𝗮𝘁𝗲, 𝗣𝗶𝗻𝗲𝗰𝗼𝗻𝗲, 𝗖𝗵𝗿𝗼𝗺𝗮𝗗𝗕, and 𝗙𝗔𝗜𝗦𝗦 using 𝗵𝘆𝗯𝗿𝗶𝗱 𝗿𝗲𝘁𝗿𝗶𝗲𝘃𝗮𝗹 and 𝗴𝗿𝗼𝘂𝗻𝗱𝗲𝗱 𝗴𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻. 𝗜 𝗮𝗹𝘀𝗼 𝗱𝗲𝘀𝗶𝗴𝗻𝗲𝗱 𝗮 𝗿𝗲𝗽𝗿𝗼𝗱𝘂𝗰𝗶𝗯𝗹𝗲, 𝘃𝗲𝗰𝘁𝗼𝗿 𝗱𝗮𝘁𝗮𝗯𝗮𝘀𝗲 𝗯𝗲𝗻𝗰𝗵𝗺𝗮𝗿𝗸𝗶𝗻𝗴 𝗳𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 to evaluate 𝗿𝗲𝗰𝗮𝗹𝗹–𝗹𝗮𝘁𝗲𝗻𝗰𝘆–𝘁𝗵𝗿𝗼𝘂𝗴𝗵𝗽𝘂𝘁 𝘁𝗿𝗮𝗱𝗲-𝗼𝗳𝗳𝘀 across modern ANN systems, reinforcing my focus on 𝗲𝗺𝗽𝗶𝗿𝗶𝗰𝗮𝗹 𝗶𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝘀𝗲𝗹𝗲𝗰𝘁𝗶𝗼𝗻 for production RAG platforms. With 𝗺𝗼𝗿𝗲 𝘁𝗵𝗮𝗻 𝟭𝟬 𝘆𝗲𝗮𝗿𝘀 of enterprise engineering experience operating 𝟭𝟬𝗠+ user platforms at 𝟵𝟵.𝟵% uptime, I bring the same discipline to AI systems: 𝗼𝗯𝘀𝗲𝗿𝘃𝗮𝗯𝗶𝗹𝗶𝘁𝘆, 𝗖𝗜/𝗖𝗗, and 𝗰𝗹𝗼𝘂𝗱-𝗻𝗮𝘁𝗶𝘃𝗲 𝗱𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁.