Fasith User

Developed transformer-based NLP models for document classification and information extraction, improving accuracy by 25%. Deployed and maintained production-grade ML pipelines on AWS SageMaker, reducing model retraining time by 40%. Designed scalable Computer Vision solutions for object detection in retail analytics, leading to a 20% increase in operational efficiency.

Organized and managed technical hackathons and coding events, attracting 500+ participants and fostering collaboration between industry professionals and students.

Guided aspiring data scientists by conducting workshops, reviewing projects, and providing career advice, helping over 50 individuals enhance their skills and confidence in the field.

Led the design and implementation of scalable ML infrastructure for personalized recommendations, improving model development efficiency by 40%. Managed a 15+ member team, driving strategic roadmap execution and stakeholder collaboration. Built frameworks for training LLMs and multimodal models, reducing time-to-production by 30%.

Directed the creation of data pipelines and platforms supporting training and deployment of recommendation models for consumer-facing applications. Spearheaded initiatives to implement state-of-the-art ML frameworks, enabling seamless experimentation and model optimization.

Engineered predictive analytics models, reducing supply chain delays by 18%. Developed Computer Vision applications for manufacturing quality inspection, cutting defect rates by 10%. Integrated ML models into enterprise systems, enhancing efficiency and client satisfaction.

Grade: 3.5 of 4.0

Pursued a Master of Technology in Data Science & AI, focusing on advanced data analysis, machine learning algorithms, and artificial intelligence applications.

Grade: 3.8 of 4.0

Completed a Bachelor of Technology in Computer Science, covering essential programming, software development, and computer systems.