Darshan Chinvar

About Darshan Chinvar

Platform & AI Engineering leader driving Capital Group’s enterprise GenAI platform from…

Experience

1. Lead Cloud Software Engineer

   Capital Group

   Oct 2021 — Present

   Leading a team of AI researchers and developers with a focus on generative AI and monetization, I excel in driving cross-functional initiatives. My expertise lies in catalyzing effective collaboration with engineers, product managers; seamlessly integrating GenAI technology into existing products to develop novel solutions that drive revenue - Cultivated expertise in Python, web development, and LLM-related techniques such as langchain, vector databases, and prompt engineering, which I have applied in developing and maintaining infrastructure and applications for Natural Language Processing (NLP) and Large Language Models (LLM) to cater to a diverse range of stakeholders - My proficiency in fine-tuning LLM\'s alongside with Retrieval-Augmented Generation (RAG) substantially enhances the quality and relevance of AI content, demonstrating my dedication to fostering innovation and achieving results in dynamic settings; also have an understanding of PyTorch and TensorFlow frameworks- In collaboration with Microsoft and AWS, I developed a comprehensive understanding of our data processing and storage mechanisms and worked alongside the InfoSec and Security teams to establish abuse monitoring and content filtering mechanisms, thereby ensuring the integrity and security of our systems - With a forte in creating model endpoints for both live and batch inferencing, I implemented robust security measures through the use of private endpoints and virtual networks. This ensured the safeguarding of information while maintaining the efficiency of our operations - Designed comprehensive monitoring dashboards, focusing on GPU profiling and on key metrics such as latency, performance, and availability, to ensure optimal functioning and continuous improvement LLM apps - Demonstrated strong customer focus by collaborating with application teams to assist with architecture and design patterns, and by facilitating the onboarding of internal customers to AWS and Azure

Skills

• Web Services
• C#
• Mysql
• Web Applications
• Linux
• Datadog
• C++
• Agile Methodologies
• Nosql
• Asp.net
• Javascript
• .net
• Nginx
• Web Development
• Microsoft Sql Server
• Ecs
• Language Integrated Query (Linq)
• Software Development
• Databases
• Amazon Web Services (Aws)
• Sql
• Transact-Sql (T-Sql)
• Xml
• Hadoop
• Containers
• Visual Studio
• .net Framework
• Team Foundation Server (Tfs)
• Aws
• Bash
• Python
• Git
• Sdlc
• Ruby
• Sql Server Reporting Services (Ssrs)
• Asp
• Docker
• Scalable Architecture
• Twistlock
• Puppet