Ritesh Ramchandani Email & Phone Number

Bengaluru, Ka, In

Bangalore Urban, Karnataka, India

Single-handedly used the leveraging power of LLMOps to deploy LLM models over intel GPUs with OPEA[Open Platform for Enterprise AI].• Developed a document parser using llama3:70b to enable document parsing and interaction capabilities within chatbot frameworks using LangChain for LLM and ChromaDB for storing embeddings.• Optimized memory utilization for Intel CPUs and GPUs using intel_extension_for_pytorch and ipex_llm libraries, enhancing performance efficiency.• Implemented RLHF (Reinforcement Learning through Human Feedback) to improve chatbot accuracy based on historical Q&A data.

• Spearheaded the re-architecture of the Hubbler platform, optimizing code quality, and enhancing system performance with an emphasis on automation.• Implemented Docker and Kubernetes for containerization and orchestration, resulting in streamlined application delivery and scalability.• Managed AWS resources, including EC2 instances, Load Balancers, and Autoscaling, to ensure high availability and performance.• Collaborated with a cross-functional development team, utilizing Git and GitHub for version control and fostering efficient code management.

India

# Mentored the new interns- Provided guidance and help to the new interns of the Vnurt team to understand the test code base.- Gave honest, frank and constructive feedback on the features build by them.- Consistently motivated team to the work to the best of their quality.# Developed new features which is used by the end users- Created a Chat backend server with socket.io and linked it with frontend.- Added a proper architecture to the Backend Server Codebase.- Technology Stack: Angular 6, Express JS, Microsoft SQL Server, .Net