Moeen Bagheri

• 𝗟𝗟𝗠 𝗔𝗴𝗲𝗻𝘁 𝗳𝗼𝗿 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀: Led development of 𝘍𝘖𝘟 𝘛𝘢𝘭𝘬2𝘋𝘢𝘵𝘢, BASF’s flagship AI data assistant used by over 3000 users. Winner of 𝗕𝗔𝗦𝗙’𝘀 2025 𝗗𝗶𝗴𝗶𝘁𝗮𝗹 𝗔𝘄𝗮𝗿𝗱 for its innovation, impact, and enterprise-wide adoption.

• 𝗡𝗮𝘁𝘂𝗿𝗮𝗹 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝘁𝗼 𝗦𝗤𝗟: Designed a 𝘓𝘢𝘯𝘨𝘊𝘩𝘢𝘪𝘯/𝘓𝘢𝘯𝘨𝘎𝘳𝘢𝘱𝘩 agent that translates natural-language questions into validated 𝘋𝘢𝘵𝘢𝘣𝘳𝘪𝘤𝘬𝘴 𝘚𝘘𝘓, automatically resolves ambiguities through

• 𝗬𝗼𝘂𝗧𝘂𝗯𝗲 𝗟𝗟𝗠 𝗔𝗴𝗲𝗻𝘁: Developed a Chrome extension that skips promotional segments, summarizes videos, and enables semantic search over YouTube content using Generative AI.

• 𝗙𝗶𝗻𝗲𝘁𝘂𝗻𝗶𝗻𝗴 & 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻: Improved response quality and reliability using tool calling, structured outputs, fine-tuning, and prompt engineering techniques such as chain of thought prompting.

• 𝗖𝗹𝗼𝘂𝗱 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁 & 𝗖𝗼𝗻𝘁𝗮𝗶𝗻𝗲𝗿𝗶𝘇

• 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻: Managed a team of 7+ engineers to develop object detection models using 𝘗𝑦𝘛𝑜𝑟𝑐ℎ and 𝘛𝑒𝑛𝑠𝑜𝑟𝘍𝑙𝑜𝑤 for seed grading and crop yield estimation from phone and drone images, deployed via 𝘍𝑙𝑎𝑠𝑘 applications and improving efficiency for agricultural partners by over 80%.

• 𝗠𝗼𝗱𝗲𝗹 𝗘𝗻𝗵𝗮𝗻𝗰𝗲𝗺𝗲𝗻𝘁: Applied transfer learning from datasets such as 𝘊𝘖𝘊𝘖 and 𝘗𝑎𝑠𝑐𝑎𝑙 𝘝𝘖𝘊 and performed hyperparameter

• 𝗟𝗟𝗠 𝗗𝗲𝘀𝗶𝗴𝗻: Used 𝘉𝘌𝘙𝘛-based models to perform NLP on Software Requirements Specification (SRS) documents to detect conflicting and duplicate requirements.

• 𝗠𝗼𝗱𝗲𝗹 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻: Achieved a 20% increase in F1-score through fine-tuning and hyperparameter optimization of a Microsoft pre-trained model.

• 𝗠𝗲𝗻𝘁𝗼𝗿𝘀𝗵𝗶𝗽: Mentored 20+ graduate students in their deep learning projects, ensuring best practices.

• 𝗔𝘀𝘀𝗲𝘀𝘀𝗺𝗲𝗻𝘁: Took charge of grading assignments and exams, providing constructive feedback to enhance students' understanding of complex machine-learning concepts.

• 𝗖𝘂𝗿𝗿𝗶𝗰𝘂𝗹𝘂𝗺 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁: Designed lab exercises/solutions, emphasizing practical applications of deep learning.

• 𝗟𝗲𝗰𝘁𝘂𝗿𝗲 𝗗𝗲𝗹𝗶𝘃𝗲

Mentored 20+ graduate students in deep learning projects, graded assignments and exams, designed lab exercises, and facilitated lectures on deep learning topics.

• 𝗧𝗿𝗮𝗱𝗶𝗻𝗴 𝗔𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁: Collaborated with 5+ engineers to design and implement high-frequency trading algorithms with a daily order flow of $10𝗠+, leveraging machine learning to improve predictive accuracy.

• 𝗩𝗮𝗹𝗶𝗱𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗦𝘁𝗿𝗲𝘀𝘀 𝗧𝗲𝘀𝘁𝗶𝗻𝗴: Validated automated financial trading strategies based on intra- and inter-exchange price discrepancies and conducted stress testing on exchanges to identify bottlenecks and vulnerabilities in live-like scenarios.

• 𝗦𝘂𝗽𝗲𝗿𝘃𝗶𝘀𝗼𝗿: 𝖯𝗋𝗈𝖿𝖾𝗌𝗌𝗈𝗋 𝖪𝗈𝗇𝗌𝗍𝖺𝗇𝗍𝗂𝗇𝗈𝗌 𝖦𝖾𝗈𝗋𝗀𝗂𝗈𝗎

• 𝗧𝗵𝗲𝘀𝗶𝘀: 𝖬𝗈𝗇𝗍𝗁𝗅𝗒 𝖲𝖺𝗅𝖾𝗌 𝖥𝗈𝗋𝖾𝖼𝖺𝗌𝗍𝗂𝗇𝗀 𝖿𝗈𝗋 𝖶𝖺𝗅𝗆𝖺𝗋𝗍 𝗐𝗂𝗍𝗁 𝖠𝖽𝗏𝖺𝗇𝖼𝖾𝖽 𝖬𝖺𝖼𝗁𝗂𝗇𝖾 𝖫𝖾𝖺𝗋𝗇𝗂𝗇𝗀 𝖳𝖾𝖼𝗁𝗇𝗂𝗊𝗎𝖾𝗌

• 𝖦𝗋𝖺𝖽𝗎𝖺𝗍𝖾𝖽 𝗐𝗂𝗍𝗁 𝗵𝗶𝗴𝗵 𝗱𝗶𝘀𝘁𝗶𝗻𝗰𝘁𝗶𝗼𝗻; 𝖴𝗇𝗂𝗏𝖾𝗋𝗌𝗂𝗍𝗒 𝖮𝖿 𝖳𝗈𝗋𝗈𝗇𝗍𝗈 𝖲𝖼𝗁𝗈𝗅𝖺𝗋 𝖠𝗐𝖺𝗋𝖽

• 𝘚𝑢𝑝𝑒𝑟𝑣𝑖𝑠𝑜𝑟: 𝖯𝗋𝗈𝖿𝖾𝗌𝗌𝗈𝗋 𝖹𝗁𝖺𝗈𝗅𝖾𝗂 𝖹𝗁𝖺𝗇𝗀

• 𝘛ℎ𝑒𝑠𝑖𝑠: 𝖣𝖾𝗍𝖾𝖼𝗍𝗂𝗈𝗇 𝗈𝖿 𝖦𝖾𝗇𝖾𝗍𝗂𝖼 𝖵𝖺𝗋𝗂𝖺𝗍𝗂𝗈𝗇𝗌 𝗂𝗇 𝗆𝗂𝖱𝖭𝖠 𝖯𝗋𝗂𝗆𝖺𝗋𝗒 𝖳𝗋𝖺𝗇𝗌𝖼𝗋𝗂𝗉𝗍𝗌 𝖴𝗌𝗂𝗇𝗀 𝖲𝗍𝖺𝗍𝗂𝗌𝗍𝗂𝖼𝖺𝗅 𝖠𝗇𝖺𝗅𝗒𝗌𝗂𝗌

Master of Science in Data Science and Analytics. Thesis on monthly sales forecasting for Walmart with advanced machine learning techniques.

Grade: High distinction

Honours Bachelor of Science with high distinction. Thesis on detection of genetic variations in miRNA primary transcripts using statistical analysis.