Portfolio | Shreyas Salunke

About Me

Get to know me

I am a B.Tech Computer Science graduate specializing in AI & Data Science, with a strong foundation in Python, Java, and Agentic AI operations.

From migrating legacy architectures to developing intelligent conversational agents, I craft solutions that are efficient, data-driven, and highly scalable.

My Skills

Python & AI

Java & Spring Boot

FastAPI & REST

Machine Learning

SQL databases

TS & Web Dev

Work Experience

AI Researcher Intern

WebXion Technologies LLP, Pune

March 2026 - Current

Conducted a comprehensive feasibility study and technical report on integrating Claude AI into organizational workflows to optimize development efficiency.
Migrated legacy PHP backend to Python (FastAPI), implementing asynchronous REST APIs for improved performance and scalability.
Developed modular scripts to ensure 100% data consistency during the architectural transition from PHP.

Java Development Intern

Benchmark IT Solutions, Pune

Jan 2025 - May 2025

Developed RESTful APIs and integrated MySQL schemas using Spring Boot, JPA, and Git.
Built responsive dashboards and full-stack web applications with ReactJS, Vite, and TypeScript.
Migrated JavaScript codebases to TypeScript, applying OOP and SOLID principles for maintainability.

My Education

B.Tech Computer Science and Engineering (AI & Data Science)

MIT World Peace University

2021 - 2025

CGPA: 8.23

Class 12 (CBSE)

Elpro International School

2021

Percentage: 90.2%

Class 10 (CBSE)

Global Indian International School

2019

Percentage: 90.6%

Featured Projects

Super-Resolution using GAN

Developed a GAN-based model to upscale low-resolution images using PyTorch while preserving fine details. Implemented a two-stage architecture using RRDBNet and evaluated model performance using PSNR, SSIM, MSE, and Inception Score metrics to ensure high visual quality.

PyTorchGANGenerative AI

Demand Forecast for Optimized Inventory Planning

Developed a Random Forest-based model to forecast future retail item demand using historical sales data and product features. Implemented proactive inventory planning strategies to minimize overstocking and shortages. Evaluated performance using Mean Absolute Error and Mean Squared Error metrics, leading to improved operational efficiency and reduced inventory costs.

Random ForestData AnalysisMachine Learning

Medical Insurance Cost Prediction

Developed a Linear Regression model to predict medical insurance costs using features such as age, gender, BMI, smoking habits, and region. Applied data visualization to identify correlations and key trends, and evaluated performance using regression evaluation metrics for accuracy and reliability.

Linear RegressionData VisualizationPython

Mira Food Delivery Chatbot

Built a food delivery chatbot using Google's Dialogflow ES with well-designed user intents for smooth conversations. Used SQL for backend tasks like real-time order placement, menu browsing, and delivery tracking, improving user satisfaction and efficiency with quick responses and personalized support.

Dialogflow ESSQLBackend API

My Certifications

Complete Python Developer

Udemy

Jan 2024 - June 2024

AI Immersion Programme

IIT Jodhpur

Feb 2024 - March 2024

My Achievements

GATE 2026 Qualified

Qualified GATE 2026 in Data Science and Artificial Intelligence in general category.

Abacus State Level Runner-Up

Achieved the 2nd Runner Up position in the State Level Abacus Competition.

Vedic Math Graduate

Graduated in Vedic Mathematics and was awarded a State Level Consolation Medal.

Hello, I am

Shreyas Salunke

I'm a