Shivank Choudhary

HSCS : •Working on Healthcare Agentic AI product which extracts useful information from documents and generates medical documents/reports. •Developed backend using Fastapi and Azure Sonic: •Architected and delivered a high-performance, scalable data platform for a hedge fund client, enabling efficient storage, retrieval, and analytics across large financial datasets. •Automated the end-to-end data preprocessing pipeline, eliminating multiple days of manual work per cycle for business analysts and significantly reducing operational overhead. •Creating and assigning stories to team members and mentoring juniors.

•Enhanced a Lambda architecture data platform (Python, Pydantic, AWS), contributing significant improvements to query throughput and data reliability. •Designed and implemented a hybrid search layer combining OpenSearch (speed layer) with S3 and Athena (batch layer), dramatically improving query performance for audit data retrieval. •Extended the React/TypeScript frontend with new features and led web accessibility testing to ensure WCAG compliance.

•Led full software development lifecycle—scoping, design, coding, testing, CI/CD, monitoring, and maintenance—for AWS data centre operations tools in the Hyderabad region. •Partnered with the application security team to review system designs, enforce security best practices, and proactively mitigate risks across all services. •Equiplaza: Built a web application for operations engineers to raise fault requests with vendors, achieving estimated annual savings of $109,500 (AWS, Flask, React, Python, TypeScript, DynamoDB). •PACLOG: Developed a device-reading logging application with automated report generation (Flask, React, AWS Lambda, CloudFront, DynamoDB). •Logistics Shipment Notifier: Built a notification tool for the logistics team to track upcoming shipment changes in real time (Python, Regex, SES).

•Developed and maintained backend services using Flask, Python, and PostgreSQL for enterprise-scale applications. •Designed database schemas and built automated data transfer workflows using Apache Airflow, Boto3, and AWS.

•Built REST APIs for an NLP-powered pharmaceutical document review application using Flask, OAuth2, JWT, and PING Identity for third-party authentication. •Engineered a Competitive Intelligence Platform featuring a knowledge graph built on Neo4j and Python, enabling structured competitive analysis from unstructured data sources.