Arya Mane

Graduate Trainee Engineer at Siemens Digital Industries Pvt. Ltd

Implemented telemetry infrastructure by instrumenting over 20 events and analyzed system metrics, resulting in approximately 20% performance improvement through data-driven insights. Optimized cloud infrastructure using Amazon CloudFront for media delivery and S3 for static asset management, along with CloudWatch for real-time monitoring and bottleneck resolution. Architected full-stack enhancements to company cloud products using ReactJS, TypeScript, and database integration, increasing user engagement by 40%. Developed JavaScript-based end-to-end testing scripts integrated with React Testing Library, improving test coverage by around 40% and reducing defect rates through CI/CD pipeline optimization and SonarQube analysis. Automated classroom deletion workflows via API solutions to enhance product reliability by eliminating recurring test failures.

Software Engineering Intern at Receptro AI

Established comprehensive API contracts using OpenAPI and JSON Schema standards to enable seamless cross-team integration and reduce downstream rework by 20%. Engineered a serverless OCR pipeline with AWS Lambda, Textract, and S3, including job tracking and validation across OCR workflows. Built an AI Notes module using AWS Bedrock with tailored prompts and confidence scoring, boosting prediction accuracy and reliability by 30%.

Graduate Trainee Engineer at Siemens Digital Industries Pvt.Ltd

Architected full-stack enhancements to Siemens' cloud product using ReactJS, TypeScript, and database integration, delivering a 40% increase in user engagement. Streamlined operational workflows by developing API solutions for classroom deletion processes, automating end-to-end tests and improving reliability. Optimized cloud infrastructure with CloudFront for media delivery, S3 for static assets, and CloudWatch for real-time monitoring with custom queries to identify bottlenecks. Implemented a testing ecosystem with JavaScript-based end-to-end tests and React Testing Library integration, achieving ~40% increase in test coverage and reduced defect rates. Instrumented telemetry with 20+ events and performed data analysis on system metrics, resulting in ~20% performance improvement.

Software Engineering Intern at Receptro AI

Established comprehensive API contracts using OpenAPI and JSONSchema standards to enable seamless integration for development teams, reducing downstream rework by 20%. Engineered a serverless OCR pipeline with AWS Lambda, Textract, and S3, including job-tracking to validate OCR workflows. Built an AI Notes module on AWS Bedrock with tailored prompts and confidence scoring to improve accuracy and reliability by approximately 30%.

Graduate Trainee Engineer at Siemens Digital Industries Pvt. Ltd

Architected full-stack enhancements to Siemens’ cloud product using ReactJS, TypeScript, and database integration, delivering ~40% increase in user engagement. Automated classroom deletion workflows via API solutions, improving reliability and reducing end-to-end test failures. Optimized cloud infra with CloudFront, S3, and CloudWatch; implemented telemetry by instrumenting 20+ events to drive data-driven performance improvements. Developed JS-based end-to-end tests and integrated React Testing Library to raise test coverage and reduce defects.

Software Engineering Intern at Receptro AI

Established comprehensive API contracts using OpenAPI and JSONSchema standards, creating seamless integration experiences for development teams and cutting downstream rework by 20%. Engineered a robust serverless OCR pipeline combining AWS Lambda, Textract, and S3 for seamless document processing, implementing job tracking capabilities that delivered functional validation across all OCR workflows. Crafted an intelligent AI Notes module using AWS Bedrock with tailored prompt templates and confidence scoring mechanisms, boosting prediction accuracy and reliability by 30%.

Graduate Trainee Engineer at Siemens Digital Industries Pvt.Ltd

Architected full-stack enhancements to Siemens' cloud product using ReactJS, TypeScript, and database integration, delivering 40% increase in user engagement through improved functionality and interface design. Streamlined operational workflows by developing API solution for classroom deletion processes, eliminating recurring end-to-end test failures and improving product reliability through automation improvements. Optimized cloud infrastructure performance leveraging Amazon CloudFront for rich media delivery, S3 for static asset management, and CloudWatch for real-time monitoring with custom queries to identify and resolve system bottlenecks. Engineered testing ecosystem with JavaScript-based end-to-end test scripts and React Testing Library integration, achieving ~40% increase in test coverage and reduction in defect rates through optimized CI/CD pipelines and SonarQube analysis. Implemented telemetry infrastructure by instrumenting 20+ events and performing data analysis on system

Software Engineering Intern at Receptro AI

Established comprehensive API contracts using OpenAPI and JSONSchema standards, enabling seamless integration for development teams and reducing downstream rework by 20%. Built a serverless OCR pipeline with AWS Lambda, Textract, and S3 for document processing and added job-tracking to validate OCR workflows. Designed an AI Notes module on AWS Bedrock with tailored prompts and confidence scoring, improving prediction reliability by 30%.