Machine Learning Intern - Generative AI with experience in developing LLM-based solutions using LangChain, Chroma, and AWS EC2 GPU instances. Software Engineer experience includes building responsive user interfaces and …
Machine Learning Intern - Generative AI with experience in developing LLM-based solutions using LangChain, Chroma, and AWS EC2 GPU instances. Software Engineer experience includes building responsive user interfaces and front-end architecture with Angular and React, along with exposure to the Software Development Life Cycle.
• Utilized Large Language Models (LLMs) such as LLaMA, WizardLM, MPT, GPT4All to develop a company-wide Microsoft Teams chatbot using LangChain for by leveraging AWS EC2 GPU instances.
• Employed Prompt Engineering techniques alongside Chroma vector store for LLMs, which boosted accuracy in responses by 50%.
• Decreased errors in LLM responses by 40% through a novel PPTX to Markdown conversion solution by improving document parsing.
Utilized Large Language Models (LLMs) such as LLaMA, WizardLM, MPT, GPT4All to develop a company-wide Microsoft Teams chatbot using LangChain by leveraging AWS EC2 GPU instances.
Employed Prompt Engineering techniques alongside Chroma vector store for LLMs, which boosted accuracy in responses by 50%.
Decreased errors in LLM responses by 40% through a novel PPTX to Markdown conversion solution by improving document parsing.
Developed and implemented highly responsive user interface components and front-end architecture for large-scale applications leveraging Angular and React.
Explored strategies for revamping dated applications as well as for product improvement and optimization, leading to a 15% increase in user engagement and a 25% decrease in performance-related complaints.
Acquired technical expertise in all phases of Software Development Life Cycle (SDLC), while conducting stand-up meetings, documenting application changes, and maintaining daily status reports.
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