Open to internships & full-time roles

Hello, I'm

Pyaram Preethi

AI & Machine Learning Engineer

Artificial Intelligence and Machine Learning undergraduate passionate about building intelligent applications, scalable backend systems, and data-driven solutions. Experienced with machine learning, data analytics, REST APIs, databases, and software development.

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AI & ML

Backend Development

Data Analytics

Database Systems

REST APIs

About

A little about me

I am an Artificial Intelligence and Machine Learning Engineering undergraduate at Acharya Institute of Technology, Bengaluru. I enjoy building intelligent applications, data analytics solutions, and scalable backend systems.

My work spans machine learning, data analytics, REST API development, database management, and data integration. Through academic and internship projects, I have worked with real datasets, developed predictive models, built analytical dashboards, integrated APIs, and created backend services.

I enjoy solving real-world engineering problems, debugging systems, working with data, and continuously expanding my skills across AI, software engineering, and backend development.

Education

B.E. in AI & ML at Acharya Institute of Technology, Bengaluru (Expected April 2027).

Interests

Intelligent applications, data analytics, and scalable backend systems.

Strengths

Machine learning, REST APIs, database management, and data integration.

Goals

Solve real-world engineering problems and grow across AI, backend, and software engineering.

Skills

Tools I build with

A curated stack spanning software, AI/ML, backend, and data.

Programming Languages

JavaJavaScriptPython

Web & API Technologies

REST APIsJSONXMLCSVHTML5CSS3HTTP

Databases

MySQLMongoDBPostgreSQL

Data Visualization

Power BITableau

Data & Analytics

ExcelStatistics

Tools & Platforms

GitGitHubGitHub Actions

Soft Skills

CommunicationTeamworkProblem Solving

Featured Work

Projects I'm proud of

A selection of engineering, AI/ML, and data projects.

AI · Healthcare

EEG-based Neurological and Mental Health Detection

EEG-based disease detection system using the Bonn EEG and MODMA datasets for neurological and mental health analysis. Performed EEG signal preprocessing and feature extraction, and trained machine learning and deep learning models for disease classification with standard evaluation metrics.

EEG Signal ProcessingMachine LearningDeep LearningFeature ExtractionClassificationModel Evaluation

GitHub

Analytics

IPL Cricket Data Analytics Platform

Analytics platform built with Python, SQL and Kaggle datasets to analyze team and player performance. Performed data preprocessing, visualization and statistical analysis, created interactive Power BI dashboards, and built a machine learning model to predict match outcomes from historical IPL data.

PythonSQLPower BIMachine LearningData AnalyticsData Visualization

GitHub

Backend · Integration

Enterprise Data Integration Platform

Enterprise platform for integrating REST APIs, transforming JSON data and automating ETL pipelines across multiple systems. Built scalable backend services with Node.js, Express.js and PostgreSQL — advanced SQL, data validation, async processing and error handling — containerized with Docker and tested with Postman.

Node.jsExpress.jsPostgreSQLREST APIsJSONSQLETLDockerPostmanGitGitHub

GitHub

Experience

Where I've worked

Machine Learning Intern

August 2025 – September 2025

Skill Craft Technology

Worked on multiple machine learning projects involving regression, clustering, image classification, and computer vision.

Developed a House Price Prediction project.
Built a Mall Customer Segmentation model using K-Means Clustering.
Developed a Hand Gesture Recognition system using SVM and computer vision techniques.
Performed data preprocessing and feature engineering.
Applied hyperparameter tuning to improve model performance.
Evaluated and refined machine learning models.