Sameer Mir

Computer Science graduate specializing in AI applications. Currently researching and comparing various Large Language Models (LLMs) like OpenAI, MistralAI , PerplexityAI , Gemini by building intelligent applications with text prompting. Skilled in Python, Pandas, C , C++ ,Generative AI, AI Prompt Engineering, and utilizing frameworks like Llama Index and LangChain. Proficient in PyTorch, NLP, TensorFLow, Keras and implementing machine learning algorithms. Experienced in project management tools like JIRA and cloud platforms like AWS. Eager to contribute to innovative AI projects.

PROJECT & LEADERSHIP

Thesis on Building Systems using AI Text Prompting – California State University, Northridge Jul 2023 – May 2024

• Developed and integrated five specialized applications, combining advanced AI technologies like Llama Index, LangChain, Open AI, Mistral AI, Perplexity AI, and Gemini, customized to meet project needs, advancing AI systems.
• Developed a unique application using Chat GPT API with a special moderation approach, enhancing user interaction significantly.
• Performed thorough comparative analyses to identify the best combination of Llama Index and LangChain with different

Language Model Models (LLMs), pushing the boundaries of AI research and development.

Intrusion Detection System – California State University, Northridge Jan 2023 – May 2023

• Implemented and optimized three advanced machine learning algorithms (Support Vector Machine, Random Forest,

and Logistic Regression) to detect and mitigate intrusions, resulting in a 75% reduction in detected intrusions using Python.

• Led the development of an innovative data analysis framework, increasing intrusion detection accuracy by

60% by identifying complex patterns and trends in intrusion data.

• Collaborated with cross-functional teams to implement initiative-taking measures based on intrusion analysis insights,

leading to a significant 50% decrease in successful intrusions and strengthening organizational cybersecurity.

E-commerce Website – California State University, Northridge

• Developed and deployed an innovative e-commerce platform using Python, HTML, CSS, ReactJS, Angular, and MongoDB. Integrated a secure payment gateway to streamline checkout processes.
• Achieved a significant reduction in page load time from 5 seconds to under 2 seconds, resulting in a 30% decrease in bounce rate and a 25% increase in average session duration.

Masters in Computer science