Summary
Vishal Doshi is a Senior Software Engineer with 11 years of experience building cloud-native, production-grade ML and IoT systems, currently contributing at Cognite from Austin. He combines deep Python expertise (FastAPI, Flask, Pydantic, mypy) and machine learning tooling (TensorFlow, Ray Tune, MLflow) with hands-on MLOps delivery—having led an end-to-end automated model-building platform that democratized model deployment for non-data scientists. Strong background in microservices, CI/CD (Helm, Helmsman, Jenkins, Spinnaker), and container orchestration (Kubernetes, Docker) complements practical experience with time-series IIoT feature engineering and event-driven architectures (Pulsar/Kafka). He has shipped telemetry and observability integrations (Prometheus/Grafana) and optimized on-demand training workflows for cost and resilience, reflecting a pragmatic focus on operational ML. Trained in computer science (MS, University of Illinois Chicago) and with a history in predictive analytics for asset-heavy industries, he blends applied research tooling like Streamlit and Jupyter with production rigor to turn models into reliable services.
11 years of coding experience
9 years of employment as a software developer
Diploma Information Technology, Diploma Information Technology at Maharashtra State Board of Technical Education
Master of Science (M.S.) Computer Science, Master of Science (M.S.) Computer Science at University of Illinois Chicago
Bachelor of Engineering (B.E.) Computer Engineering, Bachelor of Engineering (B.E.) Computer Engineering at University of Mumbai
English