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Vetted Scala Professionals
Pre-screened and vetted.
Mid-level Machine Learning Engineer specializing in MLOps, RAG, and real-time personalization
Mid-level Backend Software Engineer specializing in FinTech payments, risk, and real-time systems
Senior Data Scientist specializing in AI/Deep Learning and applied machine learning
Mid-level Machine Learning Engineer specializing in MLOps and Generative AI
Mid-level Data Scientist/ML Engineer specializing in LLMs, NLP, and recommender systems
Senior Software Engineer specializing in distributed systems, ML infrastructure, and search
Executive Engineering Leader (CTO/VP) specializing in platform scaling and video streaming
Pavanika Thotakura
Senior Data Engineer specializing in cloud big data pipelines and real-time streaming
“Amazon data engineer who built a real-time fraud detection pipeline for AWS Lambda, tackling multi-region telemetry quality issues and scaling stream processing for billions of daily requests. Strong in production-grade data/ML workflows on AWS (EMR, Glue, Kinesis, SageMaker) with hands-on entity resolution and anomaly detection.”
Sara Fang
Mid-level Software Engineer specializing in cloud data platforms and distributed systems
“Backend/data engineer with production experience building FastAPI services with strong reliability patterns (circuit breaker, rate limiting, caching, graceful degradation) and JWT/OAuth2 auth. Has delivered AWS EKS deployments via Terraform with Secrets Manager/IRSA and HPA autoscaling, and built Glue/Spark ETL pipelines on S3 Parquet with schema-evolution and idempotent reruns; also demonstrated measurable SQL tuning impact (20–30s to <10s).”
Yashshree Patil
Mid-Level Software Development Engineer specializing in full-stack systems and ML
“AWS engineer who productionized an internal ML-driven data pipeline from a notebook prototype into a scalable, observable Python service (schema validation, deduplication, idempotency, safe retries, versioned transforms, CloudWatch alarms), reducing manual effort and improving data accuracy/trust. Experienced diagnosing workflow issues in real time (e.g., upstream schema changes) and partnering with account managers/support to unblock adoption of seller-facing Marketplace features by demonstrating reliability with concrete metrics.”
Mid-level Machine Learning Engineer specializing in deep learning, MLOps, and real-time inference
Senior Data Engineer specializing in cloud data platforms and large-scale ETL
Senior Software Engineer specializing in cloud-native microservices and full-stack web apps
Mid-level Python Full-Stack Developer specializing in FinTech and real-time data/ML systems
Junior Data/AI Engineer specializing in scalable data pipelines and Elastic Stack
Junior Software Engineer specializing in ML, computer vision, and data engineering