Hello, I'm

Renuka Prasad Patwari

Software Engineer & ML Enthusiast

MS in Software Engineering at San Jose State University. Passionate about building scalable backend systems and applying machine learning to solve real-world problems.

Get In Touch View Projects

class SoftwareEngineer {
    constructor() {
        this.name = "Renuka";
        this.role = "SDE + ML";
        this.languages = [
            "Java", "Python",
            "C++", "SQL"
        ];
    }

    buildSolutions() {
        return "Scalable + Intelligent";
    }
}

About Me

I'm a software engineer with a strong foundation in both backend development and machine learning. Currently pursuing my Master's in Software Engineering at San Jose State University, I bring hands-on experience from my role at Stellantis and research work at IIT Bombay.

My expertise spans building microservices architectures with Spring Boot, developing AI-powered applications using Python and modern ML frameworks, and implementing real-time data processing systems. I'm particularly interested in the intersection of software engineering best practices and machine learning applications.

When I'm not coding, I enjoy exploring new technologies, contributing to research publications, and presenting my work at international conferences like IEEE INDIACom.

3.96/4.0

CGPA

1 Year

Experience

3

Publications

5+

Projects

Education

Master of Science in Software Engineering

Aug 2025 - May 2027

San Jose State University

Relevant Coursework: Software Systems Engineering, Enterprise Software Platforms, Machine Learning

Bachelor of Engineering in Computer Engineering

Aug 2020 - May 2024

University of Mumbai

CGPA: 3.96/4.0

Relevant Coursework: Data Structures, Analysis of Algorithms, Data Science, Natural Language Processing (NLP), Artificial Intelligence

Work Experience

Stellantis

Assistant Software Engineer

Sept 2024 – Jul 2025

Improved software reliability by increasing unit testing coverage from 3% to 90% using JUnit 5 and Mockito within Agile methodologies
Designed and implemented a Java Spring Boot microservices backend for Vehicle Insurance system using API Gateway, Eureka, and H2 DB
Built an Online Document Management System using Spring Boot, REST APIs, JDBC, HTML, CSS, and JavaScript
Actively participated in daily standups, code reviews, and team discussions for collaborative problem-solving

Java Spring Boot JUnit 5 Microservices Agile

Indian Institute of Technology, Bombay

Machine Learning Intern

Sep 2023 – Mar 2024

Contributed to the LEAP OCR for Indian Languages project using Python, PyTesseract, DocTr, and Google Vision API
Designed, documented, and validated APIs with Swagger and Postman; deployed Docker-containerized application for scalable use
Enhanced code repository by integrating a pre-trained foundational OCR model and improved dataset documentation
Collaborated with professors and senior researchers to resolve technical challenges and present results effectively

Python OCR Docker Google Vision API ML

Featured Projects

DocQuery AI

GenAI web app enabling users to query and interact with PDFs using Google's Gemini API (LLM). Integrated AWS S3 for storage, DynamoDB for context management, with secure IAM-based access control.

Python FastAPI Streamlit Gemini API AWS

Code

VeriFi

Real-time fraud detection system using Kafka-streamed services, Redis caching, and PostgreSQL for high-volume transaction processing. Features stateful scoring engine for burst detection, geo-anomaly tracking, and ML-powered decision refinement.

Kafka Redis PostgreSQL Docker Prometheus Grafana

Code

Plate Perfect

Pipeline using YOLOv8 and Google Vision API to recognize multilingual license plates. Developed REST API with Flask for plate detection and validation. Presented at IEEE INDIACom 2024.

YOLOv8 Google Cloud Vision Python Flask

Code

Publications

Introduction to Generative AI

Generative AI: Disruptive Technologies for Innovative Applications, Wiley, 2025

Book chapter covering foundational concepts and applications of Generative AI technologies.

MedInsight: A Personalized Prescription Recommendation Using Machine Learning

EGETC 2024, Springer

Research on ML-based personalized medical prescription recommendation systems.

Automatic Recognition of Non-standard Number Plates using YOLOv8

INDIACom 2024, IEEE

Deep learning approach for detecting and recognizing non-standard vehicle license plates.

Technical Skills

Programming Languages

Java Python C++ SQL HTML CSS

Frameworks & Libraries

Spring Boot FastAPI Flask JUnit 5 Scikit-learn Pandas PyTorch TensorFlow

Tools & Platforms

GitHub PostgreSQL Docker AWS Swagger Postman Tableau Prometheus Grafana

Design & Collaboration

Figma Canva Adobe Google Suite Microsoft Suite

Get In Touch

I'm currently looking for new opportunities and would love to hear from you. Whether you have a question, want to discuss a project, or just want to say hi, feel free to reach out!

San Jose, CA