MAHESHKIRTI KUMAR DUVVURI VENKATA
+1-720-***-**** ***************@*****.*** Falls Church, VA LinkedIn PROFESSIONAL SUMMARY
As a highly motivated and hands-on software developer with real-world experience through impactful roles at J.P. Morgan Chase and Nestlé, I bring a strong foundation in full-stack development, microservices architecture, and cloud-native solutions. I have built scalable backend systems using Java (8 & 17) and Spring Boot, crafted dynamic UIs with React.js and Angular, and integrated cutting-edge technologies like Kafka, Docker, AWS, and Prometheus. My projects demonstrate a strong ability to design secure, high-performance systems, from real-time investment platforms to live sales analytics for 5,000+ retail stores. With a passion for clean code, automation, and problem-solving, I’m eager to contribute to innovative teams where technology meets real-world impact. TECHNICAL SKILLS
Programming Languages: Java (8, 17), Python, TypeScript, JavaScript, C, C++, C#, Golang, DNN Frameworks & Libraries: Spring Boot, Spring Framework, Spring Security, Spring Data JPA, Django, Express.js, Node.js, React.js, React Native, Redux Toolkit, AngularJS, Angular 9, Next.js, Chart.js, Bootstrap, JQuery, TensorFlow Lite, PyTorch, OpenCV, GraphQL, SOAP, REST, AJAX Web & UI Technologies: HTML5, CSS3, XML, JSON, Servlets, JSP, PHP Databases & Storage: PostgreSQL, MySQL, MongoDB, MSSQL, Oracle Database, DynamoDB, AWS RDS, AWS S3, AWS Redshift Cloud & Infrastructure: AWS (EC2, S3, ECR, RDS, Lambda, CloudWatch, SageMaker, SNS, Kinesis, EKS), Azure, GCP (Firebase) DevOps, CI/CD & Deployment: Docker, Kubernetes, Jenkins, Terraform, GitHub, Bitbucket, Jira, Apache Tomcat, Git, CI/CD pipelines Testing & QA: JUnit, Spring Test Framework, Cypress, Selenium, Cucumber, Jasmine, Postman. Monitoring & Logging: Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana), SonarQube, Fortify Messaging & Streaming: Apache Kafka, Kafka Streams Security & Authentication: OAuth 2.0, JWT, Role-Based Access Control (RBAC), Secure API Contracts Tools / Technologies: Agile, Scrum, TDD, SDLC, AI/ML, ETL/ELT, RTOS, VS Code EXPERIENCE
J.P. Morgan Chase New York City
Sr. Software Developer May 2024 – Present
● Developed and deployed RESTful microservices using Java 17 and Spring Boot within microservices architecture to support core investment and alert modules.
● Built responsive UI components for dashboards, charts, and financial goal tracking using React.js and Redux Toolkit, enhancing client engagement.
● Integrated Spring Data JPA with PostgreSQL to manage complex entity relationships and execute optimized queries for client portfolio data retrieval.
● Leveraged Redis caching with Spring Boot to minimize database load and improve performance of frequently accessed investment data endpoints.
● Implemented secure authentication and authorization using OAuth 2.0, enabling token-based access control across microservices.
● Consumed and produced Kafka streams to facilitate real-time event-driven communication between services such as transactions, alerts, and reporting.
● Developed API documentation using Swagger, allowing testers and stakeholders to validate functionality and reduce QA turnaround time.
● Created and optimized PostgreSQL schemas for transactional data, investment history, and client metadata, improving data integrity and query performance.
● Built CI/CD pipelines using GitHub and Jenkins, ensuring automated builds, testing, and deployments for full stack services.
● Utilized AWS EC2 for hosting backend microservices and AWS RDS for managing the PostgreSQL database, ensuring scalability and high availability.
● Integrated Prometheus with Spring Boot microservices to collect performance metrics and configured Grafana dashboards for real-time monitoring of API latency, error rates, and service health across the Wealth360 platform.
● Designed frontend views and integrated them with backend APIs using React.js and Spring Boot to deliver a seamless user experience for advisors and clients.
● Enabled secure document storage and retrieval by integrating AWS S3 with React components and backend services.
● Applied SonarQube and Fortify scans to maintain code quality and security compliance, proactively resolving performance and vulnerability issues.
● Automated infrastructure provisioning using Terraform scripts to deploy AWS resources such as EC2, S3, and RDS across environments.
● Created Redux-based state management for dynamic investment dashboards, enabling efficient UI updates without redundant API calls.
● Monitored system health and application logs using AWS CloudWatch, identifying and resolving production issues in real time.
● Built and tested microservices independently using Spring Boot and Docker, accelerating development lifecycle and improving service modularity.
● Worked closely with QA and product teams to translate business requirements into API contracts documented via Swagger.
● Set up Grafana alerting rules based on Prometheus metrics to notify the DevOps team of abnormal system behavior, reducing incident response time by 30%
● Integrated React frontend with Kafka-based backend workflows, enabling real-time notification updates for investment activities.
● Designed and implemented role-based UI rendering logic using OAuth 2.0 scopes and frontend state control via Redux Toolkit. Nestlé India
Software Engineer Apr 2021 – Jul 2023
● Developed and deployed scalable microservices using Java 8 and Spring Boot in a distributed architecture for real-time retail data processing.
● Built dynamic and responsive dashboards using Angular 9, Chart.js, and TypeScript to visualize sales and stock performance across 5,000+ retail stores.
● Integrated Apache Kafka with microservices to enable real-time ingestion and processing of high-velocity sales data from distributed retail locations.
● Designed and consumed REST APIs to enable smooth frontend-backend communication between Angular 9 UI and Spring Boot backend services.
● Implemented secure user authentication and role-based access control using JWT and Spring Security to manage data access for sales managers and warehouse teams.
● Wrote optimized SQL queries for MySQL and integrated them into Spring Boot services to generate region- and product-level sales reports.
● Refactored legacy reporting logic into modular Spring Boot microservices integrated with Kafka consumers, improving system maintainability and reducing response time by 35%.
● Configured AWS RDS for high-availability MySQL deployment and fine-tuned database indexing to enhance query performance for large-scale product and region-based analytics.
● Deployed Dockerized microservices on AWS EC2 instances and managed scalability and uptime using Kubernetes orchestration.
● Created custom filters, modals, and reactive forms in Angular 9 to support dynamic user interactions based on product, location, and time-based analytics.
● Set up ELK Stack (Elasticsearch, Logstash, Kibana) to monitor service logs, enabling fast debugging and real-time system health checks.
● Collaborated with cross-functional teams during agile sprint cycles, translating business needs into scalable backend services and rich UI features.
● Built alert mechanisms into the frontend using Angular and Kafka-triggered events to instantly notify users about stockouts or unusual sales drops.
● Developed the Notification Service using Java 8 and Spring Boot, integrated with Kafka topics to handle alert delivery to regional managers.
● Built and optimized container images using Docker for each Spring Boot microservice, improving CI/CD deployment consistency across AWS environments.
● Implemented automated logging pipelines with Logstash and visualized microservice performance trends in Kibana, enabling proactive diagnostics and reducing downtime during high-traffic periods.
● Utilized AWS S3 to store static content and report exports, improving availability and retrieval time for business users.
● Configured Kubernetes health checks, auto-restart, and horizontal scaling policies to ensure reliability of Java-based microservices under heavy load.
● Conducted regular code reviews and performance optimizations across both frontend (Angular) and backend (Spring Boot) to maintain high application efficiency.
ACADEMIC PROJECTS
Produce Procurement and Sales System - (Java, REST APIs, Spring Boot, MySQL, AWS)
● Developed a full-stack e-commerce web platform enabling direct transactions between farmers and buyers, eliminating intermediaries and improving market access in rural regions.
● Architected backend services using Django, deployed on AWS EC2 with Docker, and utilized PostgreSQL for relational data storage supporting verified listings, secure payments, and real-time order tracking.
● Engineered CRUD interfaces for producer inventory management, enabling seamless addition, update, and deletion of produce listings, while ensuring data consistency through backend validation and relational integrity enforcement. Object Detection Pipeline using YOLOv8 – (Python, TensorFlow Lite, OpenCV, YOLOv8, PyTorch)
● Designed a modular object detection pipeline using YOLOv8, enabling scalable training, evaluation, and inference across custom datasets.
● Optimized model accuracy and performance using mAP metrics, tuning hyperparameters and batch sizes for efficient GPU utilization.
● Converted trained models to TensorFlow Lite for low-latency inference on edge devices, aligning with production deployment standards. CERTIFICATIONS
● AWS Solution Architect
● Oracle Certified Java Programmer
● Python Institute PCAP
EDUCATION
● Master of Science in Computer Science; May 2025
University of Dayton
● Bachelor of Engineering in Computer Science and Engineering; Sept 2022 Osmania University