Sasank Varanasi

Software Development Engineer at Mindtree

Developed and deployed a secure, HIPAA-compliant patient data ingestion system using Python, Django REST Framework, and FHIR standards, improving real-time access to EHRs and reducing data retrieval latency by 30%. Led integration of microservices-based architecture on AWS involving S3, Lambda, EC2, and API Gateway, achieving 99.9% uptime and scalable access across five departments. Automated healthcare claims validation workflows, increasing accuracy and saving 120+ manual hours monthly. Designed a full-stack predictive analytics dashboard using Python (Flask), React, and Tableau to visualize treatment outcomes and reduce patient readmission rates by 15%. Led data migration of over 5 million medical records to PostgreSQL with zero data loss and full regulatory compliance.

Backend Python Developer at Datycs

Architected and deployed robust backend services with Python, Django, and REST APIs for integration of patient health records, ensuring seamless data synchronization. Engineered scalable microservices architecture using Docker and Kubernetes to automate deployments, improving system efficiency by 20% and reducing downtime by 30%. Collaborated with front-end teams to build responsive interfaces reducing UI bug tickets by 30%. Actively participated in Agile sprint planning using JIRA, Confluence, and Bitbucket for code reviews, documentation, and workflows.

Software Engineer at TechMahindra

Designed and deployed RESTful APIs using Python and Django supporting high-throughput fuel management systems, handling over 2TB of data and reducing latency by 20% with optimized DB access and caching. Led end-to-end ETL for legacy data migration supporting enterprise-wide defect tracking tools. Developed backend services integrating real-time VIN/PIN tracking, increasing operational efficiency by 30%. Automated defect tracking reports and auditing using Python scripts and Elasticsearch, reducing manual reporting time and increasing traceability.

Software Development Engineer at Mindtree

Designed and deployed a secure HIPAA-compliant patient data ingestion system using Python, Django REST Framework, and FHIR standards, enabling real-time access to EHRs and reducing data retrieval latency by 30%.

Backend Python Developer at Datycs

Architected and deployed robust backend services using Python, Django, and REST APIs to integrate patient health records with custom healthcare platforms, ensuring seamless data synchronization across client-facing applications.

Software Engineer at Tech Mahindra

Designed and deployed RESTful APIs using Python and Django to support high-throughput fuel management systems, handling over 2 TB of data and reducing request latency by 20% through optimized database access and caching strategies.

Software Development Engineer at Mindtree

Developed a secure HIPAA-compliant patient data ingestion system using Python, Django REST Framework, and FHIR standards, enabling real-time access to EHRs and reducing data retrieval latency by 30%. Led integration of microservices-based architecture on AWS (S3, Lambda, EC2, API Gateway), resulting in 99.9% uptime and scalable access across 5 departments.

Backend Python Developer at Datycs

Architected and deployed robust backend services using Python, Django, and REST APIs to integrate patient health records with custom healthcare platforms, ensuring seamless data synchronization across client-facing applications.

Software Engineer at Tech Mahindra

Designed and deployed RESTful APIs using Python and Django to support high-throughput fuel management systems, handling over 2 TB of data and reducing request latency by 20%. Led end-to-end ETL development for legacy data migration using Python, Excel macros, and SQL.

Software Development Engineer at Mindtree

Developed HIPAA-compliant patient data ingest systems using Python, Django REST Framework, and FHIR standards, enabling real-time access to EHRs. Led integration of a microservice-based architecture on AWS (S3, Lambda, EC2, API Gateway) for scalable access across multiple departments. Automated healthcare claims validation workflows using Pandas, Scikit-learn, and business rules logic, achieving high accuracy and reducing manual effort. Designed and developed a full-stack predictive analytics dashboard (Python/Flask, React, Tableau) to visualize treatment outcomes and reduce readmission rates. Led a data migration initiative of over 5 million medical records to PostgreSQL with zero data loss and 100% regulatory compliance through QA and Pytest coverage.