I build practical machine learning and AI solutions, with a keen interest in data science and cybersecurity.
01 / ABOUT
Computer Science graduate with a foundation in artificial intelligence, machine learning, and data analysis. I enjoy turning technical ideas into useful projects, from explainable prediction models to security-focused applications.
Computer Science (Artificial Intelligence)
Narasaraopet Engineering College · 2022–2026
Sastra Junior College, Vijayawada · 2020–2022
02 / EXPERIENCE
Applied security work and hands-on software projects.
03 / SELECTED PROJECTS
A selection of AI, data, and security work.
IEEE IATMSI 2026 · Featured project
Combined an artificial neural network and Random Forest in an optimized ensemble to classify sleep disorders from demographic and lifestyle data. Used SHAP to make model predictions more interpretable.
Analyzed system and network logs with machine learning techniques to detect suspicious patterns and support earlier threat identification.
A secure desktop application with password-based webcam access, real-time monitoring, and activity logging to help prevent unauthorized use.
04 / SKILLS
Current strengths and topics I’m building next.
01
Python, SQL, NumPy, Pandas, data cleaning, preprocessing, exploratory analysis, feature engineering.
02
Scikit-learn, regression, classification, ensembles, XGBoost, Random Forest, SVM, KNN, model evaluation, tuning.
03
LLMs, prompt engineering, RAG, LangChain, LangGraph, Hugging Face, Transformers, AI agents.
04
Git, GitHub, VS Code, and Streamlit.
Anaconda · Jupyter · Python/OOP · EDA · Applied Statistics · Web Scraping · MySQL · Power BI · Power Query · DAX
Preprocessing · Naive Bayes · Decision Trees · Linear Regression · Model Tuning · ANN · CNN · Computer Vision
Transformers · LLMs · Prompt Engineering · LangChain/LCEL · RAG · Memory · LangGraph · Fine-Tuning · LoRA/QLoRA · Projects
RECOGNITION
HAVE A PROJECT IN MIND?