Pratham Bisht

During my internship at Synlex Intelligence, I designed and implemented multi-agent systems to simulate real-world interactions using CrewAI. I containerized these models with Docker and deployed them on AWS EC2 instances, gaining hands-on experience in cloud deployment and system optimization. This role enhanced my expertise in Docker, cloud infrastructure, and multi-agent systems, while also deepening my understanding of model optimization and practical AI applications. It was an invaluable experience in bridging theoretical knowledge with real-world deployment challenges.

During my internship at Mentorness, I gained hands-on experience in various aspects of machine learning and data science. My primary responsibilities included data cleaning, data visualization, and feature engineering to prepare datasets for model development. I implemented several machine learning algorithms for tasks such as predictive modeling and classification. Additionally, I contributed to improving the accuracy of models by applying techniques such as hyperparameter tuning and cross-validation. This internship enhanced my programming skills in Python, as well as my proficiency with libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, and Keras. I also developed a deeper understanding of time series analysis and model prediction, which allowed me to work on real-world problems with tangible outcomes.