Souyma Ranjan Das

– Led architecture and development of a cloud-native healthcare platform using Python, Django, Fast API, PostgreSQL, and AWS to manage large-scale caregiver-patient workflows. – Involved in deployment of Fast API-based microservices on AWS, leveraging: Ο AWS EC2/ ECS for containerized services Ο AWS RDS (PostgreSQL) for transactional healthcare data – Implemented AWS Lambda functions for: Ο Asynchronous background processing (notifications, caregiver assignment triggers) Ο Event-driven workflows to reduce API latency and offload non-blocking operations – Integrated JWT-based authentication and RBAC, ensuring HIPAA-aligned secure access across patients, caregivers, and admin users. – Used AWS S3 for secure storage of documents and system-generated artifacts. – Was a part of development team involved in scaling backend services to support 500,000+ patients and 300,000+ caregivers, ensuring: Ο High availability Ο Horizontal scalability Ο Low-latency API responses – Collaborated closely with DevOps teams on CI/CD pipelines, environment promotion, and production readiness in an Agile setup. – Involved in development using Python, Django, and PostgreSQL to manage caregiver-patient relationships – Scaled backend to support 5,00,000 patients and 3,00,000 caregivers with role-based access control and secure data handling – Exposed secure Fast API endpoints with token-based authentication and automated caregiver assignment and shift scheduling

– Developed Fast API-based microservices for HSBC's enterprise vulnerability and risk management platform, supporting internal banking applications across multiple business units. – Built banking-grade, stateless microservices to ingest, validate, and normalize ~100 GB of security and vulnerability data from diverse internal scanners, third-party security tools, and compliance systems. – Implemented secure API layers using Fast API with: Ο Token-based authentication and authorization Ο Strict request/response validation using Pydantic Ο Defensive input validation to meet enterprise security standards – Developed data processing pipelines to classify, enrich, and prioritize vulnerabilities based on: Ο Severity Ο Asset criticality Ο Regulatory and compliance impact – Automated vulnerability analysis and risk flagging workflows, reducing manual security triage by ~70% and accelerating remediation timelines across banking systems. – Exposed processed vulnerability and risk data through Fast API REST endpoints, enabling: Ο Real-time risk visibility Ο Enterprise reporting dashboards Ο Integration with remediation and governance platforms – Implemented fault-tolerant and resilient microservice patterns, including: Ο Idempotent processing Ο Retry and failure-handling strategies Ο Safe handling of partial or corrupted data feeds – Collaborated closely with cybersecurity, risk, compliance, and DevOps teams, ensuring services adhered to HSBC: Ο Internal security controls Ο Regulatory expectations Ο Enterprise architecture standards – Ensured services were production-ready for regulated banking environments, focusing on: Ο Secure logging and monitoring Ο Clear service boundaries and contracts Ο Maintainability and long-term scalability – Acted as a senior technical consultant, guiding teams on adopting Fast API, Python microservices within a global banking ecosystem.

– Implemented NLP extraction pipelines that improved extraction accuracy from ~G0% to ~90% – Designed relational models in PostgreSQL and REST APIs to handle processed claim data with added validation and monitoring

– Developed a defect tracking system using Flask, MySQL, and SQL Alchemy to streamline issue reporting – Integrated client-specific workflows for Huawei and implemented automated notifications to accelerate resolution cycles

– Built the Sparkle Search Rating Tool to analyze search results across platforms using Flask, SQL Alchemy, and Pandas – Delivered data pipelines and analytics components to support search quality scoring and reporting

– Developed Python scripts using sys, os, Excel, re, random, and collections modules for effective customer data management and migration. – Facilitated seamless data transition from outdated systems to new databases for multiple clients, ensuring data accuracy throughout. – Ensured the integrity and consistency of migrated customer data during system upgrades and large-scale database transitions.

– Developed a Virtual Private Network for mobile users using C++ and Python, improving secure connectivity for Belgacom. – Created backend applications to validate and execute database operations, ensuring accurate and efficient data processing. – Implemented Python scripts for data migration and old data deletion, streamlining handling and preserving data integrity. – Applied SOAP, WSDL, and IDL structures to enhance project functionality and facilitate seamless integration with client systems.

– Developed a Virtual Private Network for mobile users in Chile, Mexico, Ecuador, Colombia, and Venezuela, enhancing connectivity and security. – Delivered the Number Portability feature for Comcel Claro, migrating 10 million users efficiently from the Alcatel database to the Huawei database. – Utilized Python, C++, SQL, and Linux to develop backend components, ensuring seamless system integration and functionality. – Analyzed and implemented CAP, MAP, and INAP telecom protocols, optimizing architecture design and system performance across multiple networks.

– Executed roaming-based charging project for DMPI, designing logic that reflected precise charging behavior across all user locations. – Utilized C++, SQL, Linux, and CAP to build and implement scalable charging modules supporting diverse roaming scenarios.