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Venkatraman Kannan

@venkatramankannan

Message

I build backend data systems and AI workflows that automate healthcare and product operations.

India

Message

At Lassie AI, I build PMS synchronization and AI-powered insurance payment posting workflows for dental practices. I reduced synchronization time from two hours to 6–10 minutes, improved patient and claim matching from 91% to 98%, and cut Cloud Run costs by $2,000 per month.

Previously at AppsForBharat, I built Go microservices, event-verification systems, reverse ETL pipelines, and CRM integrations. My work improved analytics funnel completion from 10% to 77%, raised user feedback rates from 38% to 79%, and reduced AWS infrastructure costs by $1,500 per month.

Experience

Work history, roles, and key accomplishments

Current

Software Engineer

Current

Lassie AI

Dec 2025 - Present (9 months)

Built and maintained the PMS sync ecosystem to synchronize patient and insurance data from on-premise Windows servers into GCP infrastructure. Introduced fingerprint-based incremental synchronization, reducing sync time from 2 hours to 6-10 minutes, and improved patient and claim matching success rates from 91% to 98%.

Python Django PydanticAI PostgreSQL Redis GCP Cloud Run Cloud Tasks Cloud Storage AI Data Synchronization Infrastructure Optimization

Software Engineer – Backend

AppsForBharat

May 2023 - Nov 2025 (2 years 6 months)

Built and maintained Go microservices for event capture and data ingestion, and led development of a real-time event verification system. Designed REST APIs for event routing, implemented reverse ETL pipelines, and integrated with multiple analytics and CRM platforms.

Go PostgreSQL MongoDB Redis AWS Kinesis Lambda AWS ECS Cloudwatch BigQuery Bitbucket Pipelines Microservices Event Driven Architecture

Software Engineering Intern

AppsForBharat

Jan 2023 - Apr 2023 (3 months)

Built an event property aggregator service in Go to provide centralized access to event properties across microservices. Developed a reminder feature for festive task management with backend workflows and data persistence using Go and MongoDB.

Go MongoDB