As a Data Scientist at Highbrow Technology, I enhance Large Language Model (LLM) performance. My role involves comparing our LLM with other models, utilizing input context encoding, conducting ratings and comparisons, and labelling logs. Through advanced techniques and thorough analysis, I aim to optimize our LLM's capabilities and ensure it remains competitive in the industry.Previously, as a Data Scientist and Product Lead at AarogyaAI, I developed and deployed AI solutions for infectious diseases using genomics data. I trained, validated, and deployed bioinformatics and machine learning pipelines for the accurate diagnosis of Drug Resistant Tuberculosis and led product development and management actions. I was also a member in a published research paper in Science Direct - Tuberculosis Journal, evaluating the performance of the AAICare®-TB genome analysis pipeline for susceptibility prediction.I hold multiple certifications in Java, Convolutional Neural Networks, and Raspberry Pi, and I am proficient in AWS, Docker, Python, Flask, TensorFlow, PyCaret, Scikit-learn, Keras, Pandas, NumPy, OpenCV, and Biopython. My Bachelor's degree in Mechanical Engineering is from the Institute of Infrastructure Technology Research and Management (IITRAM), where I also participated in various robotics and innovation competitions.I am passionate about applying AI, ML, and DL to solve real-world problems and improve human health and well-being.
Listed skills include Robot Operating System, Public Speaking, Arduino Ide, Microsoft Powerpoint, and 18 others.