Sai Deepak Patru

TITLE:

Intelligent Document Processing Platform.

DESCRIPTION:

The Intelligent Document Processing Platform project at Navan AI aims to revolutionize document processing and management for businesses using advanced Java technologies. As a Java Developer on this project, you'll play a crucial role in designing, developing, and maintaining scalable and efficient solutions to automate document extraction, classification, and analysis. Key responsibilities include:

• Collaborating with cross-functional teams including data scientists, machine learning engineers, and product managers to understand requirements and design solutions.
• Developing robust and scalable backend services and APIs using Java frameworks such as Spring Boot.
• Implementing intelligent algorithms and machine learning models for document classification, entity extraction, and sentiment analysis.
• Integrating third-party APIs and libraries for OCR (Optical Character Recognition) and NLP (Natural Language Processing) functionalities.
• Designing and optimizing data storage and retrieval solutions for managing large volumes of structured and unstructured documents using technologies like Elasticsearch and MongoDB.

TECHNOLOGIES: Microsoft Azure, Terraform, AWS Step functions, TypeScript, Angular JS,Azure Applications Insights,CSS,Springboot.

TITLE:

Real-Time Transaction Monitoring System.

DESCRIPTION:

The Real-Time Transaction Monitoring System project aims to enhance Cash App's ability to monitor and analyze transactions in real-time to ensure security, compliance, and optimal user experience. As a Data Engineer on this project, you'll collaborate with cross-functional teams including data scientists, software engineers, and security experts to design and implement scalable data pipelines and analytical solutions. Key responsibilities include:

• Designing and implementing data ingestion pipelines to collect transaction data from various sources.
• Developing real-time streaming data processing solutions for transaction monitoring using technologies like Apache Kafka and Apache Flink.
• Building data models and implementing algorithms for detecting fraudulent activities and suspicious patterns.
• Collaborating with security teams to ensure compliance with regulatory requirements and industry best practices.
• Optimizing data storage and retrieval for efficient querying and analysis using technologies like Apache Hadoop and Apache Spark.
• Providing technical leadership and mentoring junior team members to drive innovation and excellence in data engineering practices.

TECHNOLOGIES: Mysql, Postgre SQL, ORM, Hibernate, JPA

• Developed a project utilizing Recurrent Neural Networks (RNN) to enhance biometric identification and classification accuracy.
• During a 12 -month project, I led the development of an innovative system focused on advancing biometric identification and classification using machine learning techniques.
• Leveraging Recurrent Neural Networks (RNN), our team engineered a sophisticated solution aimed at significantly improving the accuracy and reliability of biometric authentication processes.
• Through meticulous research, model refinement, and extensive testing, we successfully implemented a cutting-edge framework capable of effectively recognizing and categorizing biometric data with remarkable precision.
• This project not only showcased our technical prowess but also underscored our commitment to harnessing emerging technologies to address real-world challenges in the field of biometrics and security.