Java Developer - AWS Microservices & DevSecOps

Sahithi Gangasani

Java Developer

*******.***********@*****.*** 806-***-**** LinkedIn GitHub Austin, TX PROFESSIONAL SUMMARY

Detail-oriented Java Developer and Python Developer with 5+ years of experience designing scalable, dis- tributed, multi-tiered software applications using Java, Python, C++, and AWS across financial services and healthcare domains. Proven analytical expertise in multi-threaded programming, distributed programming, JDBC, Object Oriented design, and design patterns, consistently delivering reliable, quality-focused software through disciplined Agile Scrum practices, collaborative cross-functional teamwork, comprehensive technical documentation, and a strong commitment to CI/CD automation, application security reviews, compliance re- views, and DevSecOps principles across Linux-based enterprise environments. TECHNICAL SKILLS

Languages: Java 8/11/17, Python, JavaScript ES6+, TypeScript, SQL, C++, Node.js Frontend: React.js, Angular 8+/14, Redux, HTML5, CSS3, AJAX, JSON Backend and Frameworks: Spring Boot, Spring Cloud, Spring Security, RESTful APIs, GraphQL, Microser- vices, FastAPI, JDBC, Object Oriented Design and Design Patterns, Middleware Messaging AI and ML: Amazon Bedrock, LLM Integration, RAG Pipelines, Multi-Agent Systems, LangChain, FAISS, Hug- ging Face, Vector Databases, NLP

Cloud and DevOps: AWS (EC2, S3, Lambda, API Gateway, EKS, RDS, Bedrock, CloudWatch, SNS, SQS), Docker, Kubernetes, Jenkins, GitHub Actions, Terraform, Linux, CI/CD Databases: PostgreSQL, MySQL, Oracle, MongoDB, Cassandra, Redis, JDBC Security and Compliance: OAuth 2.0, JWT, OpenID Connect, RBAC, IAM, Application Security Reviews, Compliance Reviews, SonarQube, Splunk

SDLC and Agile Practices: Agile Scrum, JIRA, Test-Driven Development, Code Review, DevSecOps, Contin- uous Integration, Continuous Delivery, Technical Documentation PROFESSIONAL EXPERIENCE

Charles Schwab Austin, TX

Java Developer Feb 2025 – Present

• Designed and deployed full-stack distributed, multi-tiered applications using Java, Python, and AWS Lambda on Linux environments, applying multi-threaded programming and Object Oriented design patterns to inte- grate Amazon Bedrock LLM services for AI-assisted fraud detection workflows, reducing false positives by 22% and improving analyst throughput across high-volume financial operations serving 200+ institutional and retail clients.

• Engineered secure backend APIs and serverless functions using Python, Node.js, and AWS API Gateway, conducting application security reviews that enforced OAuth 2.0, JWT, and IAM controls across all service boundaries, achieving zero critical security vulnerabilities across 3 consecutive compliance reviews and de- livering comprehensive technical documentation for each audit cycle.

• Implemented Retrieval-Augmented Generation pipelines and agentic AI workflows using LangChain and JDBC-backed vector embeddings, enabling context-aware intelligent assistants that accurately and reliably processed 500K+ daily transactions with measurable improvements in query resolution accuracy and re- duced latency by 18%.

• Deployed cloud-native applications on AWS using EC2, S3, RDS, and EKS with Docker and Kubernetes on Linux, achieving 99.9% uptime and reducing infrastructure provisioning time by 50% through automated scaling and self-healing deployment strategies, with full availability for 24x7 on-call support rotation and onsite troubleshooting.

• Established DevSecOps practices through CI/CD pipelines using Jenkins and GitHub Actions, and strength- ened observability using CloudWatch, Prometheus, and Grafana, accelerating release velocity by 30% while serving as technical lead on proactive incident detection and rapid resolution for production environments. Tata Elxsi (Alstom) Hyderabad, India

Java Developer Jun 2022 – Dec 2023

• Architected scalable microservices using Java 17, Spring Boot, and Python on Linux, leveraging multi- threaded programming and distributed programming patterns with JDBC and strategic SQL query optimiza- tion and database indexing that reduced average execution time by 45% for concurrency-intensive transac- tional workloads supporting mission-critical railway safety systems used by 3,000+ field technicians globally.

• Built responsive Single Page Applications using React.js with Redux state management, delivering real-time operational dashboard updates for 500+ engineers, and integrated Apache Kafka middleware messaging and Redis for event-driven, asynchronous distributed communication, improving overall system throughput by 60% under sustained peak load with no degradation to data integrity.

• Deployed containerized distributed applications using Docker and Kubernetes on AWS EKS, provisioning infrastructure through AWS CloudFormation templates and producing comprehensive technical documenta- tion, reducing deployment failures by 60% through automated blue-green rollout and rollback strategies with full audit logging.

• Maintained robust CI/CD pipelines using Jenkins and Git with automated test gating and branch protec- tion policies, and independently designed Excel-based reporting automation using Python with pandas and openpyxl, applying Object Oriented design and reusable design patterns that saved 15+ hours of engineering effort per week.

Max Healthcare Hyderabad, India

Java Developer Mar 2020 – May 2022

• Developed enterprise healthcare web applications using Java 8, Spring Boot, and RESTful APIs on Linux environments, supporting 10,000+ daily patient records with high reliability, and built responsive, accessible UIs using React.js, Angular 6, HTML5, and CSS3, reducing average page load time by 25% through lazy loading and component-level performance optimization.

• Secured access control using Spring Security, OAuth 2.0, and role-based authentication across multi-tier healthcare services, performing application security reviews and compliance reviews across all distributed service boundaries, and integrated JMS middleware messaging that handled 50,000+ daily notifications with zero message loss ensuring consistent data delivery to clinical staff.

• Optimized SQL and PL/SQL queries, views, and stored procedures using JDBC for high-traffic Oracle-based systems, reducing query execution time by 30%, and containerized deployments using Docker with Jenk- ins CI/CD pipelines, cutting release turnaround from 3 days to under 6 hours and improving team delivery predictability.

PROJECTS

Agent-Based Intelligent Tutor and Quiz Bot

• Built an AI-powered tutoring system using Python, LangChain, and multi-agent architecture on Linux to auto- mate quiz generation and contextual question answering for network security coursework, improving learner engagement by 35% and delivering consistent, high-quality assessments without manual instructor interven- tion.

• Implemented a Retrieval-Augmented Generation pipeline using FAISS, Hugging Face Transformers, and local LLM inference with JDBC-backed persistence, enabling accurate, context-aware responses sourced from PDF-based learning materials without reliance on external APIs, reducing response latency by 28%.

• Architected autonomous agents for concept extraction, MCQ generation, and response evaluation using distributed design patterns, incorporating conversational memory that improved personalized learning out- comes, reduced repeated context lookups by 40%, and supported adaptive assessment workflows across multiple subject modules.

EDUCATION

Texas Tech University Lubbock, TX

Master of Science in Computer Science Jan 2024 – Dec 2025

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