Summary
Gaurhari Dass is a software engineer with over a decade of experience building large-scale data and real-time systems across cloud, bioinformatics, IoT, logistics and retail domains. He has architected petabyte-scale multi-omics pipelines and fraud-detection streams ingesting millions of events per second, cutting processing times by up to 40% and improving detection and query performance through thoughtful data modeling and ML. Hands-on with Spark, Kafka, Flink, dbt, MongoDB, Elasticsearch and Kubernetes, he combines streaming, batch and vector/LLM integrations to deliver low-latency, highly available platforms (99.9% uptimes). He’s driven measurable business impact—reducing false positives, fuel costs and latency—while mentoring teams and shipping production APIs and CI/CD pipelines. Based in Cambridge and contributor to OmicsDI, he brings a rare mix of genomics-aware data engineering and pragmatic ML-in-production experience that helps research and enterprise teams turn complex datasets into actionable products.
11 years of coding experience
12 years of employment as a software developer
12th, Non Medical, 12th, Non Medical at dayanand model school
Btech, Computer Science, Btech, Computer Science at NIT Jalandhar
10th, Science, 10th, Science at Swami sant dass public school
English