• Shipped Google Gemini LLM integration with Vision Agent tool enabling 80% cost reduction for AI-powered PDF processing by transforming unstructured PDF documents into structured, queryable data while meeting GDPR compliance requirements.

• Built end-to-end vault system for canvas API tool with RBAC and encrypted storage, enabling admins to manage API secrets centrally while analysts configure authenticated API requests by referencing vault credentials that are resolved at runtime.

• Integrated Sprinklr connector with the platform enabling OAuth-authenticated campaign retrieval and custom query execution. Implemented dynamic schema inference through response sampling, stream-based processing for memory efficiency, allowing customers to consolidate Sprinklr marketing data with business analytics.

• Enhanced SFTP dataset creation pipeline by enforcing base folder path restriction at authentication, preventing authenticated users from accessing data outside of configured base path, and implemented BFS-based subfolder scanning capability (max depth: 10) with includeSubfolders toggle, giving users flexibility to aggregate data from multiple files across nested directories.

• Built Spring AOP exception handling framework to eliminate verbose cross-repository exception handling - replaced dozens of try-catch blocks across 20+ connector classes with declarative aspect-based interception that automatically translates SDK exceptions to user-friendly error messages, improving code maintainability.

• Designed and implemented a granular hour scheduling feature with React hour picker and Spring Boot backend, enabling users to define specific execution hours instead of running every hour within a time range reducing unnecessary workflow runs by 30-45% and improving platform resource utilization.

• Built a database diagnostic tool addressing recurring connection failures in data pipelines; implemented dual validation checks - connection health checks and destination write tests across 15+ database connectors reducing connection related support tickets by 60% by enabling users to troubleshoot connection issues independently through detailed error reporting.

• Collaborated with the Florida Department of Environmental Protection to migrate their legacy Oracle Forms-based internal permit management system to a modern React/Spring Boot application, eliminating dependency on legacy Oracle client software and improving codebase maintainability for future development.

• Contributed to migrating backend services from a Monolith to Microservices architecture, enabling independent deployment of services and improving system fault isolation.

• Improved database query performance during migration by adding indexes on frequently queried columns, reducing average API response time by 20%.

• Built an end-to-end computer vision safety violation detection pipeline for manufacturing plants to ensure workers’ adherence to protective gear usage by retraining a TensorFlow object detection model using SSD-ResNet50-V1, then exporting the final model to OpenVINO IR for Intel edge deployment.

• Owned dataset operations: ingested violation images from plant servers, curated data via lighting and resolution checks, managed large-scale CVAT annotations, and generated TFRecords with stratified train/test splits to address class imbalance.

• Reduced production false positives by ~10% through targeted retraining and evaluation using COCO mAP and IoU in TensorBoard, confusion-matrix analysis, and paired t-tests; released the improved model to production plants.

• Performed Exploratory Data Analysis on IoT asset-tracking inventory data using Python and Pandas, uncovering insights such as asset last-seen trends, missing asset durations, facility-wise distribution, and GPS/GSM technology usage across supply chain nodes.

• Built a Flask-based inventory analytics dashboard connected to a MySQL database via SQLAlchemy, exposing analytical results through RESTful APIs and validating JSON responses using Postman.