Hire this AI Trainer
Sign in or create an account to invite AI Trainers to your job.
No subject matter listed
Text
ImageI am a computer science student with hands-on experience in building and deploying AI models, with a strong focus on data preparation, annotation, and model training for real-world applications. My internships at Microsoft and CDAC Pune involved developing and fine-tuning AI systems such as celebrity face recognition using TensorFlow and LLM-based solutions for adverse drug reaction prediction from medical records, where I worked extensively with structured datasets, NLP pipelines, and explainable AI outputs. I have also designed frameworks that integrate data extraction, labeling, and causality analysis, and contributed to projects in computer vision, 3D asset generation, and web-based systems requiring accurate data handling. My technical skills include Python, TensorFlow, Transformers, and experience with databases like MongoDB and PostgreSQL, making me confident in managing, labeling, and validating data for AI and machine learning tasks.
Exploring TRELLIS, a foundation model for 3D generation, with physics-aware features and hierarchical SLAT for scalable, realistic 3D asset creation.
Built a framework integrating NLP and fine-tuned LLMs to extract drug–symptom timelines and apply the Naranjo causality algorithm for ADR prediction with explainable outputs
Bachelor of Technology, Computer Science
Higher Secondary Certificate, Science
AI Research Intern
AI Azure Intern
