Developed and deployed AI-driven projects and chatbots using MERN stack, Large Language Models (LLMs), and Docker.
Deployed applications on Vercel, Amazon Lambda (serverless), Amazon EC2, and Hugging Face for scalable cloud solutions.
Applied data science techniques to build predictive models and enhance chatbot functionality.
Utilized full-stack development with MongoDB, Express.js, React, and Node.js to create and deploy web applications

Led a team of 40 members, mentoring them in AI, machine learning, and data science project development.
Guided participants in building Large Language Models (LLMs) and deploying projects on AWS and Hugging Face.
Conducted hands-on training sessions on transformers and advanced AI techniques
Provided 1:1 career mentoring, helping candidates develop critical skills and deploy real-world applications

Worked on creating and deploying machine learning models in cloud-based environments. This involves understanding the problem, selecting appropriate algorithms, and fine-tuning model parameters.
Modified existing machine learning algorithms to suit specific business needs. This could involve customizing models, improving accuracy, or optimizing performance.
Preprocessed and clean datasets to remove noise, handle missing values, and ensure data quality for model training.
Implemented feature engineering techniques to enhance model accuracy and performance. This includes creating relevant features from raw data.
Worked with development or engineering teams to complete projects. Strong written and verbal communication skills are essential for presenting findings and collaborating effectively.