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Developed and maintained scalable backend microservices using Java and Spring Boot for enterprise applications.
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Developed and maintained scalable backend microservices using Java and Spring Boot for enterprise applications.
Key contributions included:
• Designed and developed RESTful APIs using Spring Boot.
• Developed modular microservices following clean architecture and OOP principles.
• Integrated PostgreSQL, MySQL, MongoDB and Redis based on application requirements.
• Implemented asynchronous processing using Apache Kafka and AWS SQS.
• Integrated AWS S3 for file storage and processing workflows.
• Implemented scheduled and background jobs using JobRunr.
• Added request validation and centralized exception handling.
• Created API documentation using Swagger/OpenAPI.
• Worked on database design, SQL queries and performance optimization.
• Implemented logging and monitoring for backend services.
• Followed SOLID principles, design patterns and reusable coding practices.
Technology: Java, Spring Boot, Microservices, REST APIs, PostgreSQL, Kafka, Redis, AWS, Docker and Jenkins.
Hi
I am Yashwanth Jakkula, Freelancer and collaborator if you have any project requirements in web, mobile, AI, backend i can be helpful to build, design and architect your application end to end and can also work along with your team, I have experience in shipping more than 4+ products into production which are currently earning revenues with enterprise level expertise in development and deep knowledge on systems.
Use my work and expertise as credit card bill me later. I can add value to your vision and to your hardwork.
please visit my portfolio codewithyash.in.
contact me at:
yashjksoft@gmail.com
codewithyash.in
+91 7674833399
Manufacturing facility managers were flying blind, relying on delayed reports and disconnected spreadsheets to monitor multi-line production status. A modern industrial operation needed a central nervous system. I designed and developed FABRIX AI — a high-performance, real-time command center that aggregates data across active production lines and delivers instant visibility into yield, OEE (Overall Equipment Effectiveness), and maintenance alerts.
The Challenge
Industrial environments generate massive amounts of data, but it's often siloed or presented in outdated, hard-to-read interfaces. The core challenge was twofold:
Data Aggregation: We needed to ingest live statuses, targets, and outputs from multiple concurrent production lines without latency.
Cognitive Load: Operators on the factory floor needed a UI that instantly communicated critical alerts (like yield drops or material shortages) without requiring them to dig through menus. The interface had to be deeply legible in low-light industrial environments while looking like a premium, modern SaaS product.
he FABRIX AI dashboard transformed raw factory data into an actionable, real-time narrative.
Facility managers now have a single pane of glass showing global OEE, total output, and granular line-by-line efficiency.
The high-contrast alert system dramatically reduces response times to yield drops and maintenance bottlenecks.
The fully responsive, single-page application structure allows the dashboard to be displayed on large factory floor monitors or accessed remotely by shift supervisors without losing visual hierarchy.
