Software Engineer Information Technology

Pooja Thalur

602-***-**** ******.*******@*****.*** linkedin.com/in/poojathalur 1717 S Dorsey Ln, Tempe, AZ 85281

SUMMARY:

Software Engineer with over 5 years of experience in backend development, cloud-native architectures, and scalable web applications.

Proficient in Java, Spring Boot, Python, and Grails, with hands-on expertise in microservices, REST APIs, and distributed systems.

Extensive experience working with cloud platforms like AWS and Azure for storage, compute, and large-scale migrations.

Built and optimized high-performance notification, scheduling, and payment systems using Quartz, Razorpay, and batch processing.

Adept at integrating third-party APIs (Zoom, Twilio, Meta, Exotel) and implementing secure auth mechanisms (OAuth2, JWT).

Designed GDPR-compliant features for data retention, cookie consent, and user privacy across SEO-focused React applications.

Led containerization and CI/CD efforts using Docker, Jenkins, and Git to streamline deployment and reduce release failures.

Skilled in monitoring and observability using ELK stack, New Relic, and custom dashboards for proactive issue resolution.

Experience with A/B testing, SEO optimization, referral systems, and revenue engines to drive growth and engagement.

Collaborated across product, QA, and dev teams in Agile environments to deliver robust features across multiple sprints.

Strong command of data analysis tools including Pandas, Databricks, Tableau, and Matplotlib for insights and reporting.

Passionate mentor and contributor to code reviews, documentation, and continuous improvement initiatives.

TECHNICAL SKILLS:

Languages

Java, Python, Groovy, C++, Typescript, JavaScript, HTML, CSS, SQL

Web Frameworks

Spring Boot, MVC, Grails, Django

Front-End Technologies

React.js, HTML/CSS, JavaScript, Typescript

Databases

MySQL, PostgreSQL, MongoDB, Memcached

Web Technologies

jQuery, AJAX, Requests, re, RESTful APIs

Messaging & Search

ActiveMQ, RabbitMQ, Kafka, Solr

Cloud Platforms

AWS (EC2, S3, CloudFront, Lambda), Azure

Containerization/CI/CD

Docker, Jenkins, Git, CI/CD, Tomcat

Big Data & ML

Spark, TensorFlow, PyTorch, NumPy, Pandas, Matplotlib, OpenAI API, Model Evaluation

Testing Tools

JUnit, Mockito, Selenium, Postman

Web Technologies

RESTful APIs

Project Management

Jira, Confluence

EDUCATION:

• M.S., Information Technology, Arizona State University, Tempe, AZ, May 2025

• B.E., Computer Science, Visvesvaraya Technological University, Bengaluru, India, July 2019

PROFESSIONAL EXPERIENCE:

Software Developer: Digital Innovation Group ASU March 2024 – May 2025

Designed and developed scalable microservices in Spring Boot for processing real-time bibliographic metadata.

Upgraded legacy Java and Neo4j systems to improve security, performance, and maintainability in a distributed setup.

Created asynchronous APIs and comprehensive unit tests, increasing code coverage and reducing regression bugs by 30%.

Built and consumed RESTful APIs in Java and Python for internal and third-party integrations.

Dockerized microservices, cutting deployment time and environment-specific issues by 25%.

Participated in peer code reviews and Agile ceremonies for continuous improvement.

Led container orchestration and troubleshooting in Linux-based environments.

Streamlined application logs and monitoring pipelines with ELK stack for faster root-cause analysis.

Collaborated with cross-functional research teams to convert legacy solutions into interactive digital exhibits.

Integrated secure authentication layers in internal APIs for data-sensitive research systems.

Worked with Git, Jenkins, and Maven for version control and automated deployments.

Provided end-user training and documentation for internal digital archiving tools.

Environment: Java, Python, Spring Boot, REST APIs, Neo4j, Docker, Jenkins, Git, Maven, Linux, ELK Stack, OAuth, Agile.

Software Engineer II: UrbanPro.com April 2023 – August 2023

Developed batch notification system for automated marketing via email, SMS, and app, reducing manual tasks by 50%.

Designed a Money Management System integrating RazorPay for tutor payouts and New Relic for monitoring performance.

Created SEO-friendly tutor profiles using Quartz jobs and CDNs, improving page generation time by 50%.

Built scheduling automation for 1-hour Master Classes, increasing student enrollments by 15%.

Migrated over 10TB of media assets from AWS to Azure Blob Storage with minimal downtime.

Switched WhatsApp messaging provider from Twilio to Meta, saving over $50,000 in yearly costs.

Refactored background workers and job queues for improved fault tolerance and performance.

Enhanced system observability with centralized dashboards and real-time alerts.

Spearheaded GDPR-compliant data retention and notification strategies across microservices.

Collaborated with product and QA teams to streamline release cycles with CI/CD pipelines.

Delivered feature enhancements with zero rollback across 5 agile sprints.

Mentored junior developers and reviewed PRs for best practices in code quality.

Environment: Java, Spring Boot, Razorpay, AWS, Azure Blob Storage, Twilio, Meta APIs, Quartz, New Relic, Docker, CI/CD, Git, Microservices, Agile.

Software Engineer: UrbanPro.com April 2021 – March 2023

Engineered an ad-driven revenue engine for tutors using Spring Boot and Memcached, increasing ROI by 20%.

Integrated Zoom OAuth and JWT-based video call services for secure tutor-student interactions.

Built scalable referral system with tracking for students and tutors, improving conversion by 15%.

Migrated legacy webhooks (Zoom, Exotel) to OAuth-secured integrations, enhancing audit logging.

Implemented GDPR-compliant cookie consent and deletion workflows across SEO-heavy React pages.

Created A/B test frameworks in UI to optimize pricing models, increasing conversions by 15%.

Developed policy violation reporting dashboard, reducing misuse by 30%.

Refactored user ranking logic and search caching for category-level tutor discovery.

Authored microservices for progress tracking and feedback loops in the learning dashboard.

Deployed and monitored apps via Jenkins CI pipelines and Docker containers in production.

Assisted in implementing advanced access controls and user privacy settings site-wide.

Managed backend error tracking and logging strategies to reduce MTTR.

Environment: Java, Spring Boot, React, Memcached, Zoom OAuth, JWT, Exotel, Docker, Jenkins, OAuth2, A/B Testing, Microservices, Git, Agile.

Associate Software Engineer: UrbanPro.com October 2019 - March 2021

Developed demo class booking system using Grails, improving tutor visibility and booking rates by 30%.

Implemented strategy patterns for dynamic SEO page generation for seasonal classes.

Integrated Exotel API to mask tutor-student calls, reducing revenue leakage by 30%.

Revamped tutor ranking logic to reduce customer support complaints by 20%.

Refactored core database queries for optimized class scheduling under high load.

Wrote detailed documentation for onboarding and product usage.

Participated in bi-weekly sprints and demos with stakeholders.

Created REST endpoints to serve hobby class data in mobile apps.

Set up Jenkins jobs for nightly builds and regression testing.

Introduced centralized configuration service to ease environment setup across teams.

Supported QA team with post-deployment validations and fixes.

Collaborated in backend refactoring to support new business use cases.

Environment: Grails, Groovy, Java, Exotel API, REST APIs, Jenkins, PostgreSQL, Git, Agile, Strategy Pattern, Microservices.

Data Science Intern: Yugasys May 2018 - July 2018

Built a web-based dashboard using Angular and REST APIs for application health monitoring.

Performed web scraping and data cleaning in Python for large-scale datasets.

Utilized Databricks for scalable ETL jobs and processing performance metrics.

Designed interactive dashboards with D3.js and Tableau for actionable insights.

Conducted exploratory data analysis using Pandas and Matplotlib.

Worked on user behavior modeling for app optimization.

Built basic ML classification models for usage prediction.

Collaborated with senior engineers to integrate visualizations into client reporting tools.

Automated periodic data pulls using cron jobs.

Created user documentation for internal analytics workflows.

Attended agile standups and presented findings to product managers.

Implemented pagination and filtering in front-end dashboard.

Environment: Python, Angular, REST APIs, Databricks, Pandas, Matplotlib, D3.js, Tableau, Cron, ML (Scikit-learn), HTML/CSS, Agile.

Projects:

Predictive Modeling for Credit Card Default Prediction

Built robust ML models for credit card default prediction. Used data processing techniques, feature engineering, and identified Random forest as best with 82% accuracy and high F1-score.

Scalable Image Recognition System with AWS

High performance image recognition system using AWS EC2, SQS, S3 and Lambda, optimizing auto-scaling to dynamically allocate resources to process 1000 images in 50 seconds with up to 20 instances for enhanced performance.

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