Building intelligent systems through machine learning,
computer vision, and NLP. Turning data into real-world decisions.
I'm Rishwanth Sai — an AI & Data Science student who genuinely enjoys the process of making machines understand the world. Whether it's training a model to read sign language in real time, predicting rainfall from raw weather data, or building a pipeline that translates speech across languages, I care about writing code that actually does something meaningful.
My toolkit spans Python, PyTorch, TensorFlow, and MediaPipe, but what I value more is the ability to take a messy problem, break it down, and ship something that works. I've built projects end-to-end — from data preprocessing and model training all the way to deployment-ready pipelines.
I'm in my first year at Amrita Vishwa Vidyapeetham, actively looking for an AI/ML internship where I can contribute to real work, learn fast, and grow alongside people who take their craft seriously.
Python · HTML · CSS · JavaScript · Java · SQL · Streamlit
Scikit-learn · XGBoost · TensorFlow · PyTorch
CNN · MediaPipe · Image Classification
LSTM · RAG · LLM Fine-Tuning · LangChain
Git · Jupyter · OpenAI API · Streamlit
Preprocessing · Feature Engineering · Evaluation
Real-time gesture recognition using MediaPipe + MLP. 95% accuracy on ASL dataset. End-to-end sign-to-speech pipeline.
GitHub →XGBoost & Logistic Regression on Telangana weather data. Achieved ~80% accuracy with comparative evaluation.
GitHub →Full pipeline: speech → text → translation → speech using Google Speech. Multilingual NLP support.
GitHub →Python email automation for structured distribution with dynamic content. Modular and scalable via SMTP.
GitHub →Education
Certifications
Fundamentals of RAG architectures. Built pipelines using LangChain.