Gokul B

As an intern at Shoreline AI, I’ve been integral to developing AI solutions, focusing on both machine learning and generative AI (Gen AI). I contributed to a machine learning project on anomaly detection, analyzing sensor data to set thresholds for time series analysis. In Gen AI, I helped create an asset management bot using large language models (LLMs) like OpenAI’s GPT-4, Hugging Face’s GODEL, and Amazon Bedrock’s Claude and Titan. My work has also spanned various ML models, including ARIMA and SVMs, underscoring my active role in advancing the company’s AI-driven projects.

Collaborated on an AI project to enhance Large Language Model training methodologies. Provided domain expertise for Reinforcement Learning from Human Feedback (RLHF) initiatives. Contributed to the fine-tuning of AI models to improve performance and accuracy. Played a key role in creating and reviewing technical content, ensuring quality and relevance.

Developed and maintained C# applications for Windows, specializing in ACOP. I have also developed WPF forms to showcase data from these applications. Extracted controller data and stored it in the MSSQL database using socket programming. Contributed to seamless data integration and analysis.