Lead Ai | Full-Stack Engineer
CurrentAI Engineer and Full-Stack Developer with expertise in creating AI-driven chatbot solutions and high-performance web applications.By integrating Retrieval-Augmented Generation tools with Pinecone and Qdrant, I've increased query resolution rates by 50%. I accelerated AI deployments using the Langchain library for AI agents and large language models (LLMs), streamlining business processes across departments.I leverage LLamaIndex and LLMs with Azure SQL to automate customer support, reducing agent workload and improving response accuracy. My skills in Next.js and Node.js enable the development of innovative RAG solutions by integrating AI models like GPT and LLama.Experienced with cloud platforms such as AWS SageMaker, Google Vertex AI, and Azure AI Studio, I build scalable AI chatbot backends using Node.js and Python. My proficiency extends to AI data management with AWS RDS for PostgreSQL and NoSQL databases.I've enhanced personalization in chatbots using DsPy, increasing user engagement. By implementing BERT in Python, I improved sentiment analysis accuracy by 30%, driving informed product strategies. I also developed an NLP-based rating system to enhance customer satisfaction metrics.On the frontend, I transformed multi-page experiences into single-page apps using React.js, boosting engagement by 12%. My UI/UX work with TypeScript, Next.js, and Tailwind CSS reduced load times by 20%. I also built robust APIs with Nest.js in a serverless AWS environment.Further, I've implemented scalable microservices via Kubernetes and Docker on AWS EKS and streamlined CI/CD pipelines using Jenkins and GitLab, improving release cycles. Optimizing PostgreSQL queries and integrating Redis caching have enhanced data retrieval and application performance.
