• Developing a custom NLP pipeline with Vision OCR, Text Classification and Token Classification models using Open LLMs.

• Topic of Research: "Privacy Preserving Generation with Large Language Models"
• Researching on Private Large Language Models using various Differential Privacy Frameworks.
• Analyzing several pre-training/fine-tuning methods and model behavior on various downstream tasks.

• Developed NLP Classifier Models on a daily basis, achieving high accuracy rates exceeding 95%, demonstrating strong data analysis and modeling skills.
• Expertly finetuned large transformer models, attaining precision and reliability, resulting in improved model performance and efficiency.
• Created Transformer models for Sequence Classification, Sequence Generation, and Token Classification on a daily basis, showcasing consistent innovation and adaptability.
• Specialized in developing customized Named Entity Recognition (NER) solutions, optimizing data extraction and information retrieval processes.
• Proficiently worked with Big Data to analyze patterns and successfully deployed developed models, contributing to data-driven insights and decision-making.

• Worked with AWS EC2, EBS, and S3 to host and develop websites.
• Successfully migrated non-AWS web applications to AWS infrastructure.
• Developed a sophisticated Content Recommendation system using AWS Personalize.
• Gained hands-on experience with over 50 AWS services during the training period.
• Proficient in utilizing tools like AWS Cost Calculator to optimize cloud resources.

• Topic of research: Agile motion of quadrupedal locomotion using Quad-SDK
• Testing Deep Learning Algorithm efficiency for better obstacle detection and increasing accuracy by 25%.
• Using an efficient control scheme to increase in terrain mapping accuracy by 12.7% when using the right number of contours.
• Global Planner’s code was optimized for a movement speed boost of 15%.
• Tools & Languages used: Linux, Git, ROS, Quad-SDK, Python, Catkin