Biography

Suraj Jyothi Unni is an accomplished machine learning engineer with over 4 years of experience applying advanced artificial intelligence techniques to create impactful data products. He holds a Master's degree in Computer Science from Arizona State University, where he graduated with a 3.75 GPA and completed his thesis on robustness techniques for visual question-answering models.

Suraj is an expert in natural language processing, computer vision, predictive modeling, and building full-stack ML systems. He has worked extensively with deep learning frameworks like PyTorch and TensorFlow to deliver innovative AI solutions. Some highlights of his projects include developing diagnosis pipelines to accelerate medical imaging analysis, designing anomaly detection algorithms to forecast customer traffic, and enhancing wireless access point signal strength through patented software innovation.

Currently, Suraj completed his Master's at ASU while simultaneously working as a Machine Learning Engineer at the university's Data Mining and Machine Learning Lab. He has spearheaded prompting strategies to generate high-quality training data for large language models and optimized infrastructure scalability for expansive AI simulations. His academic research has also been published in renowned conferences and journals.

Suraj is passionate about leveraging data and AI to solve complex real-world problems that meaningfully improve people's lives. He thrives in fast-paced environments where he can collaborate cross-functionally and draw on his analytical abilities, communication skills, and relentless pursuit of engineering excellence to drive impact. Suraj is eager to tackle new challenges as an applied machine learning engineer or data scientist.