Machine Learning Engineer

Hi, I'm Aniket

I build Intelligent Machines

Machine Learning Engineer specializing in scalable ML systems, LLM-powered applications, and transforming raw data into intelligent solutions.

400+

Students Taught

6+

ML Projects

3+

Years Experience

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Introduction

About Me.

I'm a Machine Learning Engineer who enjoys turning messy data and half-formed ideas into things that actually work. My journey started with software development and teaching, and eventually led me into Data Science, Machine Learning, and Generative AI. Today, I work with Python, ML models, LLMs, RAG, and AI applications—basically, I spend a good amount of time teaching machines what to do and an even greater amount of time figuring out why they suddenly decided not to.

I like building practical AI solutions rather than chasing buzzwords. I'm especially interested in projects where AI can solve a real problem, simplify something complicated, or save someone a few hours of repetitive work. Outside of coding, I enjoy exploring new technology and experimenting with ideas that occasionally become projects—and occasionally become another folder on my laptop called final_final_v2.

Machine Learning Engineer

Building production-grade ML pipelines and model serving systems.

Front-End Web Developer

Crafting responsive, dynamic user interfaces with Next.js, React, and modern CSS.

Data Scientist

Uncovering insights from complex datasets using statistical methods.

Python Instructor

Teaching Python programming, backend services, and data processing workflows.

My Journey

Work Experience.

What I Know

Skills & Technologies.

AI / ML

PyTorch90%
TensorFlow85%
Scikit-Learn92%
Hugging Face88%
LangChain85%
OpenAI API90%

Languages

Python95%
TypeScript80%
SQL88%
Bash75%

MLOps & Cloud

Git & GitHub92%
CI/CD85%
Docker88%
Streamlit deployment90%
FastAPI88%
REST APIs90%
MLflow86%
Airflow80%

Data & Viz

Pandas95%
NumPy93%
Spark78%
Tableau80%
Plotly85%

What I've Built

Projects.

Indian Road Accident Severity Prediction & Risk Analytics

Built an end-to-end ML system to predict Indian road accident severity using 20K+ crash records and 49 features. Developed preprocessing, EDA, feature engineering, and XGBoost classification, achieving 95.13% accuracy and 99.44% ROC-AUC. Deployed via Streamlit with real-time prediction, hotspot mapping, data exploration, and insights.

PythonMachine LearningXGBoostModel EvaluationGeospatial AnalyticsStreamlit

Medical Report OCR using YOLO & Tesseract

End-to-end Medical Report OCR system using YOLO for text detection and Tesseract for text extraction. Automatically converts lab reports into structured CSV/JSON data using Computer Vision & Deep Learning.

YOLOTesseractOpenCVDeep LearningGoogle Colab

NEWS Research Analysis

AI-Powered News Analysis Tool — an interactive news research app using Groq LLM + LangChain + Streamlit. Features smart summaries, validation, query history, exports, and a custom UI.

Groq LLMLangChainStreamlitPlotlypython-dotenv

Job Market Analysis

A comprehensive data analytics platform that analyzes job market trends and provides personalized job recommendations using real-time job posting data.

PythonScikit-learnNLTKPlotlyStreamlit

Twitter Disaster Classification

Machine-learning model to classify tweets as disaster or non-disaster. Preprocessed text, extracted features with TF-IDF/embeddings, trained models including Logistic Regression and BERT.

TokenizationLemmatizationTF-IDFLogistic RegressionBERT

Rossmann Store Sales Forecasting

Comprehensive data science project predicting sales for Rossmann stores using advanced ML techniques — from exploratory data analysis to model deployment.

Random ForestGradient BoostingXGBoost RegressorModel Serialization

Get In Touch

Contact.

Whether you have a project in mind, a job opportunity, or just want to talk AI — my inbox is always open.