Ajit Goud

Java backend services, AI integration and real-time streaming

• Implemented API authentication using Spring Security and JWT, securing backend endpoints with token-based authentication.
• Implemented Redis-based API rate limiting to control request traffic and integrated Swagger/OpenAPI for REST API documentation and testing.
• Containerized backend services using Docker and deployed applications on AWS.
• Built voice-to-voice AI workflows using OpenAI and Groq APIs, implementing end-of-speech detection with amplitude-based audio analysis before integrating Silero VAD for more reliable speech detection.
• Integrated LiveKit/WebRTC for real-time video streaming and configured backend services to generate JWT-based access tokens for secure streaming sessions.
• Developed an AI-powered visual question-answering workflow that combined camera screenshots with voice input and returned AI-generated audio responses.

• Java
• Spring Boot
• Spring Security
• REST APIs
• JPA/Hibernate
• PostgreSQL
• Redis
• Docker
• AWS
• LiveKit
• OpenAI
• Groq
• Swagger/OpenAPI

Java backend development, payment middleware and REST APIs

• Developed Java middleware for real-time UPI payments, generating dynamic QR codes from transaction details, transmitting them to QR devices over serial communication, and managing transaction states across initiation, success, and failure.
• Built an end-to-end Electronic Shelf Label (ESL) template platform using Spring Boot and REST APIs for template creation, editing, import, export, and persistence, integrated with a React and Fabric.js canvas editor. Implemented reusable, tag-based templates that allowed a single design to serve multiple users through runtime data binding.
• Developed REST APIs and backend workflows for ESL management and digital-signage platforms, supporting content management, scheduling, and delivery of images, videos, and web content across devices.

• Java
• Spring Boot
• REST APIs
• JPA/Hibernate
• PostgreSQL
• ReactJs
• Fabric.js
• Serial Communication

Data processing and reporting platform

• Developed and maintained PySpark jobs and Hive queries on HDFS for large-scale data processing, validating model outputs before promoting new model versions to higher environments.
• Owned and maintained a production reporting platform generating 200+ reports daily, taking responsibility for job monitoring, production issue resolution, and reliable, on-time report delivery.
• Built a Flask and Jinja2 portal to automate model-testing workflows, reducing manual effort and delivering process improvements that saved approximately CAD 3,000 annually.
• Used Docker to containerize application components and supported deployments in Kubernetes environments.
• Worked with Jenkins CI/CD pipelines to streamline build and deployment workflows and supported application deployments in AWS environments.

• Java
• Python
• Flask
• Apache Airflow
• PySpark
• Docker
• Kubernetes
• Jenkins
• AWS
• CI/CD