Software Engineer

Hemanth Balakrishna Nuthalapati

Long Beach, CA, *0815 +1-562-***-**** **********@*****.*** LinkedIn

SUMMARY

• 3+ years of experience in backend and full-stack development using Java (Spring Boot, Spring MVC), Angular, Node.js, and

TypeScript.

• Strong expertise in RESTful APIs, microservices, and Oracle/PL-SQL, with hands-on application of secure coding standards

(OWASP, CWE) and DevSecOps practices.

• Skilled in CI/CD automation with Jenkins, GitHub Actions, Docker, Kubernetes, and Maven; experienced in AWS and Azure

cloud deployments.

• Proficient in database design, query tuning, and optimization with Oracle, PostgreSQL, and MongoDB for high-volume

transactional systems.

• Experienced in Agile/Scrum environments, leading design/code reviews, collaborating across teams, and delivering secure,

scalable, and high-performance solutions.

TECHNICAL SKILLS

Languages Java, SQL, TypeScript, JavaScript (ES6+), Python

Backend & APIs Java (Spring Boot, Spring MVC, Spring Security), Node.js, REST, GraphQL, Microservices

Frontend Angular (TypeScript, HTML5, CSS3), JSP, Responsive Design

Databases Oracle (SQL/PL-SQL, Stored Procedures, Query Optimization), PostgreSQL, MongoDB, Redis

Testing & Quality JUnit, Jasmine, Postman, SonarQube, Checkmarx, OWASP Secure Coding

Cloud & DevOps AWS (EC2, RDS, ECS, S3), Azure (Blob, AKS), Docker, Kubernetes, Jenkins, Maven, GitHub Actions

Messaging & Processing Apache Kafka, RabbitMQ, Spring Batch

Monitoring & Logging Splunk, Dynatrace, Prometheus, Kibana, Log4J

Other OAuth 2.0, JWT, SAML, Gitflow, Agile/Scrum/SAFe, Design Patterns

PROFESSIONAL EXPERIENCE

Software Engineer -Big Eye Tech, LLC, Remote May 2025 – Present

• Developed backend features and RESTful APIs using Java (Spring Boot, Spring MVC) and Node.js, integrating with

Oracle/PL-SQL, PostgreSQL, and MongoDB to support secure, reliable systems.

• Built and validated APIs with Swagger/Postman, applying OWASP secure coding practices and enforcing

SonarQube/Checkmarx static analysis to reduce vulnerabilities and ensure compliance.

• Implemented Angular and JSP components with TypeScript, HTML5, and CSS3, delivering responsive, accessible, and

modular front-end solutions.

• Improved test coverage with JUnit, Jasmine, and integration tests, cutting regression issues by 25% and enhancing code

reliability.

• Optimized backend performance through query tuning, indexing, and schema design in Oracle/PL-SQL and PostgreSQL for

scalable data handling.

• Automated CI/CD pipelines on AWS and Azure using Docker, Kubernetes, Jenkins, GitHub Actions, and Maven, embedding

Fortify and Checkmarx scans for DevSecOps compliance.

• Led code reviews and design discussions in Agile/Scrum/SAFe environments, collaborating with cross-functional teams to

deliver high-performance solutions.

• Integrated secure external APIs for transaction workflows, ensuring compliance, scalability, and high system availability.

Software Engineer– Changelab, Los Angeles, CA Sep 2024 – May 2025

• Built and optimized front-end features using Angular, TypeScript, HTML5, and CSS3, delivering responsive, real-time UIs

integrated with REST and GraphQL APIs.

• Developed backend services and endpoints in Java (Spring Boot, Spring MVC) and Node.js, tuning Oracle/PL-SQL,

PostgreSQL, and MongoDB queries to boost API throughput by 20% and reduce latency by 30%.

• Implemented secure APIs with OAuth 2.0, JWT, and SAML, integrating third-party financial and identity management

services in high-traffic systems.

• Tested and validated APIs with Postman, enforcing SonarQube/Checkmarx gates and applying OWASP secure coding to

ensure compliance.

• Contributed to CI/CD pipelines with Docker, Kubernetes, Jenkins, Maven, AWS, and Azure, embedding Fortify and

Twistlock scans for DevSecOps compliance.

• Applied design patterns (Factory, Adapter, Strategy, Singleton) to deliver maintainable, scalable backend components.

• Collaborated in Agile/Scrum/SAFe teams, translating business requirements into secure, high-performance solutions, and

contributing to peer reviews and design discussions.

Software Engineer – Mphasis, India. Jan 2020- Jun 2022

• Integrated front-end with backend APIs (REST, GraphQL, SOAP) to support low-latency, high-performance data flows for

large-scale financial systems.

• Developed backend features within existing microservices using Java (Spring Boot, Spring MVC) and Node.js, tuning

PostgreSQL and MongoDB queries with indexing and stored procedures to improve throughput and reduce latency.

• Contributed to Spring Batch workflows with Kafka and RabbitMQ for high-volume, event-driven processing in transactional

pipelines.

• Assisted in CI/CD automation for deployments on AWS ECS and Azure AKS using Jenkins and Maven, with static analysis

checks via SonarQube.

• Applied secure coding practices (OWASP, OAuth 2.0, JWT, SAML) and participated in monitoring/incident resolution using

Splunk, Log4J, and Prometheus.

• Collaborated in Agile/Scrum teams, applying software design patterns (Factory, Adapter, Observer, Strategy) to deliver

maintainable backend components.

ACADEMIC PROJECTS

AI-Powered Document Classification System – Natural Language Processing & Deep Learning

• Developed an NLP-based classification model using Python, Scikit-learn, and TensorFlow to automatically categorize large

document sets.

• Implemented BERT and Word2Vec embeddings for semantic understanding, improving classification accuracy by 20% over

baseline models.

• Built a Flask-based API to integrate classification results into web applications, enabling real-time document tagging and

search.

Stock Price Prediction System – Time Series Forecasting & Data Analytics

• Built a stock market prediction system using Python, Pandas, NumPy, and machine learning models (ARIMA, LSTM) with

TensorFlow/Keras to forecast price trends.

• Preprocessed and normalized data, applied feature engineering, and achieved improved prediction accuracy through

hyperparameter tuning.

• Developed interactive visualizations with Matplotlib, Seaborn, and Plotly for trend analysis and investment insights.

EDUCATION

CALIFORNIA STATE UNIVERSITY, LONG BEACH, CA

Master Of Science in Computer Science Aug 2022 – May 2024

VEL TECH RANGARAJAN DR. SAGUNTHALA R&D INSTITUTE OF SCIENCE AND TECHNOLOGY UNIVERSITY, CHENNAI, TN, INDIA.

Bachelor Of Technology in Computer Science Aug 2017 – May 2021

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