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Vetted Snowflake Professionals
Pre-screened and vetted.
Abhijeet Gajjar
Mid-level Mobile Software Engineer specializing in iOS, React Native, and AI-enabled backends
“Backend engineer who built and scaled a FastAPI-based backend for an AI-driven maintenance system automating vendor sourcing/bidding/communication. Emphasizes async, message-driven architecture with strong observability and state-machine-driven workflows, plus robust webhook/idempotency patterns to prevent duplicate/out-of-order events from causing bad bids or state changes.”
“Full-stack engineer with deep startup experience (pre-seed through IPO/SPAC) currently building a Next.js/TypeScript SaaS sports analytics platform with a complex Postgres-based entitlement/ACL system. Has delivered measurable UX/business impact (35% retention lift, 40% volume increase) and built production-grade daily ETL + model training/inference workflows with validation and checkpointing for reliability.”
Junior Software Engineer specializing in Python automation and full-stack web development
Mid-level Data Scientist / AI Research Engineer specializing in LLMs, RAG, and applied ML
Mid-level Data Scientist specializing in computer vision and behavioral analytics
Mid-Level Application Support Engineer specializing in SAP, cloud IAM, and production operations
Junior Full-Stack Software Engineer specializing in web applications and cloud deployment
Mid-level Full-Stack/AI Engineer specializing in LLM microservices, RAG, and data pipelines
Mid-Level Backend Engineer specializing in Java microservices and cloud-native systems
Mid-level AI/ML Engineer specializing in fraud detection, credit risk, and NLP
Intern Software Engineer specializing in cloud infrastructure, DevOps, and AI-enabled systems
Mid-level Digital Marketing & Analytics Associate specializing in SEO and BI dashboards
Ricky Zheng
Senior Backend/AI Engineer specializing in AWS-native data processing and legacy modernization
“Backend/data engineer with hands-on production experience building a FastAPI Python service on AWS for real-time AI workflows (Postgres/Redis, containers behind API Gateway) with strong reliability practices (JWT auth, timeouts/retries, health checks). Has delivered AWS infrastructure using Terraform + GitHub Actions across environments, built Glue ETL pipelines into Snowflake with idempotent recovery, and modernized legacy batch workflows via parallel-run parity validation and phased cutovers.”
Entry-Level Full-Stack AI Engineer specializing in RAG pipelines and enterprise SaaS
Junior Full-Stack Software Developer specializing in cloud-native apps and data/AI
Mid-level Full-Stack Software Engineer specializing in cloud microservices and data/ML
Mid-level R&D Engineer specializing in applied AI, experimentation, and cloud-integrated prototypes
Mid-level Machine Learning Engineer specializing in Generative AI and healthcare NLP
Mike Fernandez
Mid-Level Software Engineer specializing in cloud data platforms and CI/CD
“AI/LLM engineer who has owned end-to-end production delivery of multi-agent RAG systems on Azure (React + FastAPI + data pipelines + Terraform), including rigorous evaluation/monitoring and reliability guardrails. Shipped an AI-driven observability root-cause analysis assistant that reduced MTTR ~30%, cut alert noise ~20%, and reached ~70% adoption in the first month; also built a clinical document Q&A system with citations and compliance-oriented controls.”