Shree lasya Bezawada
@shreelasyabezawada
I build RAG, multi-agent, and computer vision applications using Python and modern AI frameworks.
What I'm looking for
I've built enterprise RAG knowledge assistants, multi-agent customer support systems, and computer vision defect-detection applications using Python, LangChain, LangGraph, PyTorch, TensorFlow, and FastAPI.
At the University of North Texas, I supported ML/AI model research by reviewing 50+ papers, implementing and testing models in Python, and improving experiment reproducibility while cutting analysis turnaround by 89%. As a Fundamentals of AI Teaching Assistant, I graded coursework for 60+ students and held weekly office hours covering core AI and ML concepts.
I enjoy turning LLMs, retrieval pipelines, AI agents, and scalable data tools into practical, context-aware applications.
Experience
Work history, roles, and key accomplishments
Graded assignments and exams for 60+ students, improving average scores by 90%. Held weekly office hours resolving 95+ queries per semester.
Supported faculty research on ML models, reviewing 50+ papers and assisting with experimentation. Implemented ML models in Python, improving reproducibility and cutting analysis turnaround by 89%.
Education
Degrees, certifications, and relevant coursework
University of North Texas
Master of Technology, Computer Science
2024 -
Grade: 3.74
Pursuing a Master of Technology in Computer Science with a focus on AI and machine learning.
Jawaharlal Nehru Technological University, Anantapur
Bachelor of Technology, Information Technology
2020 - 2024
Grade: 8.23
Completed a Bachelor of Technology in Information Technology with a strong academic record.
Availability
Location
Authorized to work in
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