Full-Stack Backend Software Engineer with Java/Python

Varshini Puttaswamy Ballari

****************@*****.*** – 503-***-**** – linkedin.com/in/varshini-p-ballari – Work authorization: H4 EAD SUMMARY

Software Engineer with 4 years of backend experience in Java and Spring Boot, plus recent hands-on work in Python, data pipelines, and cloud-native systems. Strong in automation, CI/CD, and collaborating with cross-functional teams to design, build, and operate reliable production services.

EDUCATION

Portland State University Portland, OR, USA

Master of Science in Computer Science - GPA: 4.0 2024 - 2025 National Institute of Engineering Mysore, KA, India Bachelor of Engineering in Computer Science 2015 - 2019 EXPERIENCE

TietoEvry India Pvt. Ltd Bengaluru, India

Software Engineer July 2019 – April 2023

• Developed and maintained Java web services (SOAP and REST) for critical banking and finance applications used by 10,000+ clients.

• Reduced manual testing effort by 50% by designing comprehensive unit and mock tests with JUnit and Mockito, shortening release cycles by 15%.

• Improved deployment reliability and reduced deployment time by 25% by automating service-layer builds with Jenkins and streamlining WAR releases to ACC, decreasing downtime.

• Led a refactoring initiative for a core banking application, cutting server response times and lowering error rates by 10%, improving transaction processing efficiency.

• Mentored 5+ junior engineers through onboarding sessions and project-based guidance, accelerating ramp-up on core systems.

• Collaborated within cross-functional teams of 8+ members to translate client requirements into system designs and features, increasing user satisfaction and adoption.

SKILLS

• Languages: Python, Java, C++, JavaScript, HTML5, CSS3

• Web & Backend: Web development, Flask, Spring Boot, REST APIs, SOAP services

• Data & AI/ML: ETL pipelines, data validation & quality, PostgreSQL, MySQL, AI/ML

• Cloud & DevOps: AWS, GCP (Compute Engine, Cloud Storage), Jenkins, Git, Maven, Docker, cron-based scheduling

• Frameworks & Tools: React, Mockito, JUnit, IntelliJ, Visual Studio, JIRA, Apache Camel, Dialogflow, Alexa Skills Kit

• Practices: Agile, CI/CD, Logging & Diagnostics, Performance optimization, API integration, OAuth 2.0 PROJECTS

TriMet Route Insight Project (TRIP) Spring 2025

• Built automated end-to-end data pipelines to collect, clean, and process 1M+ daily bus records, improving data freshness and accessibility for transit planners and operations teams.

• Implemented Python-based ETL pipelines using BeautifulSoup, Pandas, and Kafka to ingest data from multiple APIs and web sources into PostgreSQL with 99% uptime.

• Orchestrated workflows via cron jobs, VM schedulers, and custom daemon services, reducing manual effort by 85% and ensuring 24/7 data availability.

• Improved data quality by adding validation, transformation, and normalization routines, cutting inconsistencies across het- erogeneous feeds by 30% using psycopg2.

• Designed an encrypted archival system on Google Cloud Storage with lifecycle policies that reduced storage costs by 25% while meeting multi-year retention requirements.

• Developed interactive spatial dashboards with Mapbox to visualize real-time bus routes and stop-level metrics, enabling data-driven service optimization.

Social Resource Helper and Growling Tummy (Conversational AI) Winter 2025

• Built and deployed two AI-powered voice assistants—Social Resource Helper (Dialogflow) and Growling Tummy (Alexa Skills Kit) to connect users to local food resources and nearby food carts, serving 200+ pilot users.

• Designed NLP-driven dialog flows and integrated REST APIs, improving intent recognition accuracy by 35% and increasing contextual relevance of responses.

• Implemented location-aware recommendations using geolocation APIs and custom entity extraction to personalize suggestions based on user preferences and proximity.

• Tuned conversational logic via iterative testing and analytics dashboards, reducing fallback intent rates by 25% and increasing average engagement time per session.

Meal Prep App Spring 2024

• Developed a full-stack meal-planning web app using Python (Flask) for the backend and HTML5/CSS/JavaScript for the frontend, deployed on Google Cloud Platform.

• Integrated third-party APIs including Edamam for recipe recommendations and Google Calendar for automated meal schedul- ing, delivering personalized plans for 100+ users.

• Implemented ingredient-based search and guided meal planning workflows, reducing manual planning effort by 40%.

• Applied RESTful design principles and OAuth 2.0 authentication to ensure scalability and secure handling of user data.

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