Key accomplishments include:

* Graded over 70 assignments for CIS 4930 course, providing timely feedback that improved student understanding of Python by an estimated 30% as reflected in overall grades.

* Conducted weekly office hours that increased student attendance by 50%, fostering a supportive learning environment that encouraged questions and collaboration among peers.

* Assisted students in troubleshooting Python projects, enhancing their problem-solving skills while ensuring successful project completion rates.

Skills: Python Programming, Academic Support, Student Engagement, Grading Systems, Teaching Methodologies

Key accomplishments include:

* Conducted weekly office hours for over 70 students, providing personalized assistance that increased average assignment scores by 20% through targeted clarification of complex concepts.

* Led interactive recitation sessions that enhanced student engagement and understanding of Data Structures and Algorithms, resulting in a marked improvement in overall class performance metrics.

* Graded programming assignments with thorough feedback for 60+ submissions each week, fostering a deeper understanding of course material among students and encouraging continuous improvement.

* Developed supplemental learning materials that effectively addressed common student misconceptions about algorithms, leading to a 15% decrease in assignment-related queries during office hours.

Skills: Teaching Assistance, Data Structures & Algorithms, Student Engagement, Feedback Analysis

Key accomplishments include:

◦ Developed a Cloud-based Machine Learning pipeline using AWS SageMaker and Python to power Recommendation Systems, reduce software bugs by 35%, and enhance overall system efficiency by 18%, expediting project release cycle.

◦ Implemented an automated Data Preprocessing framework using Airflow and PySpark for Big Data analysis and Data Mining, cutting

manual workload by 25% and enabling the simultaneous training of 20+ machine learning models without overextending deadlines.

◦ Developed a custom fine-tuned LLM using domain-specific datasets and integrated it with LangChain-based pipelines for structured

evaluation, including unit and scenario testing across 100+ inputs; improved output consistency and factual accuracy by 25%.

Skills: Cloud Computing, Machine Learning, Python, AWS SageMaker, Data Processing

Key accomplishments include:

* Conducted weekly office hours for over 70 students, providing personalized assistance that increased average assignment scores by 20% through targeted clarification of complex concepts.

* Led interactive recitation sessions that enhanced student engagement and understanding of Data Structures and Algorithms, resulting in a marked improvement in overall class performance metrics.

* Graded programming assignments with thorough feedback for 60+ submissions each week, fostering a deeper understanding of course material among students and encouraging continuous improvement.

* Developed supplemental learning materials that effectively addressed common student misconceptions about algorithms, leading to a 15% decrease in assignment-related queries during office hours.

Skills: Teaching Assistance, Data Structures & Algorithms, Student Engagement, Feedback Analysis