Dev Nayyar

Integrated LLMs and RAG models, increasing virtual interaction efficiency by 30%. Designed and implemented backend solutions, reducing system downtime by 20%. Developed a multi-tenant RAG application using ChatGPT, LangChain, and Mistral with Supabase and Docker, which improved data retrieval speed by 25%. Employed Pinecone and Carbon AI for data storage and retrieval, enhancing performance by 40%. Created a RAG bot with client-side integration via a CDN script, leading to a 15% increase in client adoption rates.

Independently led the development of three projects, achieving a 100% acceptance rate, showcasing strong project management skills and a commitment to excellence. Ensured client satisfaction across all projects, fostering positive feedback and building lasting collaborations. Pioneered the integration of advanced APIs, demonstrating a proactive approach to technology adoption and maintaining industry-standard project capabilities. Implemented robust security measures by encrypting server-side APIs, contributing to enhanced data protection practices, and maintaining a secure project environment.

Created a dashboard for accounting customer retention and root cause analysis. Achieved a 12% rise in customer retention with diversified business model additions. Designed and managed an SQL database to maintain historical data, executing complex queries to identify trends and patterns, which improved data accessibility. Researched and delivered an analysed report of more than 400+ business markets for the company.