Arun Naudiyal — AI Researcher

Professional Summary Proud father and dynamic professional with a flexible designation reflecting the diverse and changing nature of today's technology landscape. Over eight years of experience as a Senior Product Engineer, currently enriching Deloitte Consulting with my expertise in product development. MLOps & DevOps Expertise - Proficient in the construction and deployment of Machine Learning and software application pipelines in AWS. - Experienced in building scalable, fault-tolerant ML Apps in Kubernetes using open-source concepts. - Competent in creating and deploying enterprise-level ML applications on AWS using Sagemaker. - Avid learner, constantly updating my knowledge and skills in various sectors of the tech domain, particularly MLOps. Large Language Models (LLM) Projects - Utilized commercial LLM, a state-of-the-art LLM, for a project that aimed at summarizing long documents for an EdTech client, enhancing their content delivery to students. - Worked on a sentiment analysis project using LLM which significantly improved the company's understanding of customer feedback, leading to a more customer-centric approach in their product development. - Led a team that developed an automated coding assistant using an LLM, aiding programmers by suggesting code completions and detecting potential errors, thus improving productivity and reducing debugging time. Cloud Infrastructure Management - Excels at designing, building, testing, and deploying products/assets on Cloud Platforms. - Prioritize customer requirements, ensuring their needs are at the heart of my work. - Proven success in creating scalable, fault-tolerant, and reliable Cloud Infrastructure on AWS/GCP. - Expert in creating automated infrastructure using Infrastructure as a Code (IaC) tools like Terraform. - Proficient in creating ETL pipelines using Airflow in Google Composer (in GCP). Continuous Learning & Teaching - Passionate about learning and refining skills, always striving to improve and grow. - Enjoy teaching as a method of deeper understanding, often participating in workshops related to MLOps and NLP. - Content creator for NLP and MLOps topics across various platforms. - Trust in my instincts, but also value data-driven decisions guided by leaders, mentors, and clients. If you have an innovative idea in Data Science that requires a quick proof of concept using either open source or enterprise cloud platforms, or if you wish to collaborate on an initiative where I can contribute, please feel free to reach out. Until then, cheers!

Stackforce AI infers this person is a SaaS expert with strong capabilities in MLOps and data analytics.

Location: Lake Mary, Florida, United States

Experience: 12 yrs 2 mos