PP

Open to opportunities

Prarthana Patil

@prarthanapatil

Backend software engineer building scalable APIs and distributed systems with Python.

What I'm looking for

I’m looking for a role where I can build production-grade backend systems—scalable APIs, microservices, and reliable cloud workflows—while collaborating in Agile teams and applying ML where it creates measurable impact.

I’m a Software Engineer focused on backend development, scalable APIs, and distributed systems. I build production-grade software with Python and modern deployment workflows, bringing a strong engineering mindset grounded in system design and testing.

As a Software Engineering Contributor for Google Summer of Code (UC OSPO), I develop real-time energy forecasting software that processes 50,000+ grid signals daily using automated ETL pipelines, statistical aggregation services, REST APIs, and a MySQL backend on Linux. I also deploy Docker-based microservices with service discovery across 14+ US and European energy regions, integrating a React frontend and cloud deployment workflows.

Previously, during my AI internship at Infosys Springboard, I built end-to-end ML pipelines on 15,000+ records, improving visa approval prediction accuracy by 32%. I enjoy turning ML into usable applications—seen in projects like ConcreteAI and EcoCreate, where I deliver predictive and optimization workflows with Flask, interactive dashboards, and cloud hosting—while collaborating closely in Agile teams and contributing high-quality work through OSS-style practices.

Experience

Work history, roles, and key accomplishments

GO

Current

Software Engineering Contributor

Current

Google Summer of Code – UC OSPO

May 2026 - Present (1 month)

Developing production-grade real-time energy forecasting software, building automated ETL pipelines and REST APIs for processing 50,000+ grid signals daily. Deployed Docker-based microservices across 14+ US and European energy regions and contributed test-covered pull requests to improve system reliability.

Python fastAPI Docker MySQL REST APIs ETL Microservices Linux CI CD

IS

AI/ML Intern

Infosys Springboard

Nov 2025 - Jan 2026 (2 months)

Built end-to-end ML pipelines on 15,000+ records, improving visa approval prediction accuracy by 32%. Optimized CatBoost models via feature engineering and hyperparameter tuning (R=0.958) and delivered a scalable Streamlit app handling 1,000+ requests.

Python scikit learn CatBoost Streamlit Machine Learning Pipelines Feature Engineering Hyperparameter Tuning Agile Scrum

Education

Degrees, certifications, and relevant coursework

IU

Institute of Technology, Nirma University

Bachelor of Technology, Electrical Engineering

2024 - 2028

Grade: CGPA: 8.65/10

Pursuing a Bachelor of Technology in Electrical Engineering at Institute of Technology, Nirma University (CGPA: 8.65/10).

Tech stack

Software and tools used professionally

GitHub

NumPy

Pandas

MySQL

Gmail

JavaScript

TensorFlow

scikit-learn

Streamlit

FastAPI

Linux

SQL

XGBoost

CatBoost

Remote

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