Summary
Vishwajeet Ohal is a Data Scientist and Machine Learning Engineer with six years of experience building predictive models, computer vision systems, and scalable ML solutions using Python, PyTorch, GCP, and MLOps. With an MSc in Statistical Machine Learning from the University of Alberta and a track record of industry and research partnerships, he delivers AI-driven decision-making and quantum-enhanced optimization solutions. He has improved production image pipelines (80% throughput gain) and produced segmentation models with near 98% accuracy, demonstrating a strong focus on measurable impact. Beyond engineering, he led the national Q-SITE conference and hackathon to grow quantum computing literacy to 500+ students and earned a Graduate Student Teaching Award for mentoring and coordinating TA teams. Comfortable bridging research and product, he also consults on applied NLP/LLM strategies such as Retrieval-Augmented Generation for industry clients. Curious about frontier tech, he blends classical statistical rigor with practical quantum experimentation to tackle complex, real-world problems.
6 years of coding experience
1 year of employment as a software developer
Master of Science, Computing Science - Specialization in Statistical Machine Learning, 3.8, Master of Science, Computing Science - Specialization in Statistical Machine Learning, 3.8 at University of Alberta
Bachelor of Engineering - BE, Computer Engineering, 3.9, Bachelor of Engineering - BE, Computer Engineering, 3.9 at Sinhgad College of Engineering