Graduate Teaching Assistant for Artificial Intelligence.

ML & LLM Solutions for Global Organizations:- Collaborated with Microsoft to develop LLM solutions using Azure Cloud services.- Implemented solutions with Azure Cognitive Services, Omni Channel, RAG architecture, Databricks, and Data Robot.- Fine-tuned models using PEFT and LoRA techniques for optimal performance.- Applied multiclass classification and clustering for tailored ML solutions, integrating latest research advancements.LLM Training Sessions for Professionals:- Conducted comprehensive training on LLMs, covering Transformer architecture and RAG.- Designed and facilitated quizzes, labs, and final projects at Systems Limited.- Delivered practical, industry-focused courses emphasizing NLP basics and fine-tuning techniques.

• Assisted students with their course and major selection• Academic advisor and mentor of 30 students

Fraud Detection – The project drew inspiration from existing works on credit card fraud detection and focused onusing Machine learning techniques to reduce security risks in financial transactions by leveraging large datasetsprovided by Clariba SEIDOR, a consultancy firm• Focused on refining credit card transaction security through techniques such as ensemble learning, data preprocessing, and the application of SMOTE to address class imbalance challenges.• Executed comprehensive literature reviews, conducted exploratory data analysis, and applied and compared classification and clustering techniques for fraud detection.• Integrated Snowflake and Dataiku tools to harness scalable computational power for machine learning model development and assessment.• Addressed practical challenges in credit card fraud detection, including class imbalance and memory constraints, showcasing adaptability and solution-oriented thinking.

• GeoSpatial Data Processingo Applied Selenium for efficient web scraping to collect National and Provincial Constituenciesdata in Pakistan.o Processed and formatted the acquired data to prepare it for subsequent analysis and visualization.• Interactive Webpage Developmento Developed an interactive webpage using Python, Flask, and HTML.o Integrated the GeoJson file generated from the collected data, enabling users to explore andinteract with the geographical information easily.• Utilized online plotting tools to enhance the visual representation of geographical data on the webpage.• Implemented user-friendly features, allowing users to zoom, pan, and retrieve detailed information aboutspecific constituencies directly from the webpage.

• Provided assistance to a class of 100+ students through regular office hours, addressing assignments andcourse-related queries to enhance comprehension and academic success.• Conducted invigilation and grading for final exams and projects, ensuring fair evaluation and adherenceto academic standards.• Led tutorials for 100+ students, offering valuable insights and guidance to aid in the successfulcompletion of assignments and projects.• Created exams, weekly quizzes, and assignment tutorials for students, contributing to the design andimplementation of effective and comprehensive assessment strategies.

• Assisted students with their course and major selection• Academic advisor and mentor of 30 students

Teaching Assistant for Cs100

• Executed daily SQL queries to optimize the ETL process for efficient data extraction, transformation,and loading.• Leveraged existing customer data through SQL queries, contributing to the development of predictiveanalysis models.• Translated predictive insights into actionable strategies, enhancing informed decision-making acrossdiverse organizational departments.