AI/ML Engineer
Results-driven AI/ML Engineer with hands-on expertise in LLMs, data preprocessing, and API integration. I specialize in delivering end-to-end AI solutions with faster processing and high accuracy.
Skilled in model deployment, automation, and cloud workflows, I am eager to apply scalable AI methods to solve real-world challenges in dynamic tech environments. Currently pursuing my B.Tech in AI & ML at Moradabad Institute of Technology.
Python, Java, C, SQL, HTML, CSS
Flask, FastAPI, LangChain, LangGraph, Streamlit, OpenCV, MediaPipe
scikit-learn, XGBoost, TensorFlow, PyTorch, Pandas, NumPy, Matplotlib
AWS (S3, EC2), Docker, Git, GitHub, VS Code, Jupyter Notebook
A real-time object and gesture recognition system using YOLOv8 & MediaPipe with 90%+ accuracy.
Developed with LangChain for multilingual emotion analysis, achieving 92% classification accuracy.
A FastAPI & Gemini LLM tool to auto-detect and fix code errors with 85% correction rate.
FastAPI & Streamlit app using Tesseract OCR, enabling users to query documents with 90%+ accuracy.
ML-powered system with 98% accuracy for crop prediction based on soil and weather data.
An LLM-powered conversational assistant that reduces manual form entry time by 70%.
A robust ML pipeline for regression and classification problems
Regression model with MAE of 4.16, deployed on Kaggle
Moradabad, U.P., India
+91 8077709912
ayushkumarshivaliya@gmail.com