A M Vaishnavi

Aspiring AI/ML Engineer · Computer Science Graduate

Tirupati, Andhra Pradesh, India

@vaishnavi_am

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🎓 Bachelor of Technology in Computer Science and Engineering at Sri Venkateshwara University · Graduated 2025

About

Computer Science graduate with hands-on experience across the ML lifecycle, including data cleaning, EDA, feature engineering, model training/evaluation, and Flask deployment. Experienced in computer vision and generative AI projects using Python, Scikit-learn, YOLOv8, LangChain, and FAISS.

Experience

Python Intern

YBI Foundation

Completed a 12-week program covering Python fundamentals including functions, OOP, file handling, and error handling; built multiple mini-projects and improved code readability and efficiency.

Education

2025

Bachelor of Technology in Computer Science and Engineering

Sri Venkateshwara University

Computer Science · 2021 – 2025

Computer Science · 2021 – 2025

Skills

1 to 2 years

Python

<3 months

SQL HTML Java NumPy React Flask Pandas OpenCV Matplotlib Regression scikit-learn Deep Learning Data Cleaning Random Forest Classification Decision Trees Computer Vision Machine Learning Feature Engineering Supervised Learning Unsupervised Learning Support Vector Machine Exploratory Data Analysis Convolutional Neural Networks

Tools / apps / platforms

<3 months

Git GitHub OpenAI VS Code

Projects

Knee Osteoarthritis Detection Web App

Python, CNN (AlexNet), Image Preprocessing, Flask

Final year project: built and deployed a web-based application for automated knee osteoarthritis detection using an AlexNet-based CNN, with data cleaning, image preprocessing, model training/evaluation, and end-to-end deployment.
YOLOv8 Object Detection System

Python, YOLOv8, OpenCV, Model Training & Evaluation

Built a real-time object detection system covering data preparation, annotation, preprocessing, training, fine-tuning, and evaluation using precision, recall, and mAP metrics.
LLM-Powered Document Q&A System (RAG)

Python, LangChain, FAISS, LLM APIs, Flask

Built a retrieval-augmented generation system for document Q&A using embeddings, a FAISS vector store, prompt templates, an LLM API, and Flask deployment.

Courses & certifications

Python for Data Science · IBM
Data Science and R Basics · edX (Harvard)
Full Stack Web Development · Blackbucks (APSCHE)

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