AKSHAY VIJAY BIDWAI

• Designed and implemented end-to-end pipelines for health data injection and scheduling patient encounters, supporting workflows for 1000+ providers at scale.
• Improved system performance and stability by optimizing Redis utilization, tuning PgBouncer, implementing circuit breakers, and resolving inefficient Cloud SQL queries.
• Supported production systems through incident debugging, improved logging and alerts, and active on-call participation to ensure reliability—currently handling ~5M monthly scribe events and 500K syncs.
  

• Developed core features for GoodBuys application with a Spring Boot scheduler, handling 200+ daily jobs for automated product retrieval, Enabling semantic partial searches on product using PostgreSQL's extensions for better user decisions.
• Contributing to document preprocessing and chunking workflows for embedding generation, storing vectors in PostgreSQL with pgvector and FAISS to support RAG-based retrieval.

• Developed user-friendly features for mobile applications in a collaborative team environment.
• Assisted in troubleshooting software issues and providing timely resolutions for users.
• Participated in code reviews to ensure quality and adherence to coding standards.

• Developed Spring MVC based micro-services for marketplace, implementing logging system for 1,000+ daily activities and user authentication with one-session-per-login, enhancing order management for machinery tools.
• Integrated third-party razorpay payment gateway APIs and identity verification HTTP-based RESTful services, ensuring robust encryption protocols (AES, TLS) to safeguard sensitive data for 50+ daily requests.

• Designed and implemented Spring MVC microservices, streamlining workflows and improving system efficiency by 40% and deploying them on AWS using serverless architecture and SQS, delivering a loan management system that supports 2,000+ daily users.
• Implemented OAuth service utilizing JSON Web Tokens to enhance the security of application interface, ensuring secure and authenticated access for services consumed by client servers.
• Incorporated Redis design patterns to improve dashboard query performance, minimizing complex aggregations further reducing response time by ~600 milliseconds.
• Executed 50+ successful data migrations with optimized schema design, using Apache Flink CDC to extract datasets in CSV and LDJSONs from servers, applying de-duplication transformations, and enabling near real-time dashboard updates.

Developed object detection and OCR system to identify and extract product details for data analysis.