Manas Chopra
Development
Delhi, India
Skills
Machine Learning (ML)
About
Manas Chopra's skills align with IT R&D Professionals (Information and Communication Technology). Manas also has skills associated with Programmers (Information and Communication Technology). Manas Chopra appears to be an entry-level candidate, with 4 months of experience.
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Work Experience
AI Intern | Remote
Superteams.ai
March 2024 - Present
- Specialized in fine-tuning large language models (LLM) for clients like E2E networks, enhancing their natural language understanding capabilities for specific domains. • Collaborated with clients and authored comprehensive blogs detailing the process of fine-tuning LLMs for industry-specific tasks, showcasing expertise and thought leadership in the field of AI.
AI Research Intern | Remote
Renix Informatics
November 2023 - December 2023
- Spearheaded the successful implementation of advanced GPT-4 features, demonstrating a comprehensive grasp of natural language processing and machine learning principles. • Led the seamless integration of AWS Elastic File System (EFS) into the workflow, enhancing document storage and retrieval efficiency while ensuring scalability and reliability. • Pioneered the convergence of GPT-4 capabilities with AWS EFS, creating a cohesive framework that optimized document management processes, exemplifying a forward-thinking approach at the intersection of cutting-edge technologies.
Machine Learning Intern | Remote
Quizzy
December 2022 - February 2023
- Contributing as a lead member of the machine learning team, specializing in the development and fine-tuning of large language models, including Llama, Falcon, Mistral, and other open-source models. • Utilizing AWS SageMaker for efficient model training, deployment, and management, demonstrating a deep understanding of cloudbased machine learning infrastructure. • Implementing serverless computing with AWS Lambda to enhance the scalability and cost-effectiveness of various machine learning tasks within the Quizzy platform. • Collaborating on data storage and retrieval strategies using AWS S3 buckets, ensuring secure and optimized handling of large datasets crucial for machine learning model training.