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Vetted Scala Professionals
Pre-screened and vetted.
Junior Data/Backend Engineer specializing in distributed systems and streaming pipelines
Mid-Level Backend Engineer specializing in cloud-native distributed systems and data pipelines
Mid-level AI & Machine Learning Engineer specializing in production ML and LLM applications
Mid-Level Full-Stack Software Engineer specializing in FinTech and data platforms
Senior Software Engineer specializing in hybrid cloud, Kubernetes, and MLOps
Senior Software Engineer specializing in high-throughput systems across FinTech, e-commerce, and data platforms
Mid-level AI/ML Engineer specializing in production ML, NLP, and computer vision
Senior Software Engineer specializing in cloud-native microservices and real-time data pipelines
Senior Data Engineer specializing in cloud-scale data pipelines and legal data systems
Senior Machine Learning Engineer specializing in computer vision and healthcare AI
Senior Software Engineer specializing in AI-powered search and backend systems
Senior Data Engineer specializing in cloud lakehouse platforms and healthcare data
Senior AI/ML Engineer specializing in production AI systems for healthcare and finance
Senior Data Engineer specializing in cloud-scale pipelines and legal data utilities
Director of Architecture specializing in AdTech, AI/ML, and large-scale cloud platforms
Senior Data Engineer specializing in cloud data platforms and big data pipelines
Lalithya Manasa Patri
Senior Data Engineer specializing in cloud ETL and real-time streaming pipelines
“Data engineer with eBay experience owning end-to-end pipelines for real-time order and user behavior analytics at 10M+ records/day. Strong in PySpark/SQL transformations, Airflow reliability patterns, and production observability (CloudWatch), with measurable outcomes including improved data quality and 30–40% query performance gains. Also built Python data APIs for analytics/ML consumers with versioning and backward compatibility.”
Travoy Spelling
Senior Data Scientist / ML Engineer specializing in GenAI, LLMs, and NLP
“ML/NLP engineer focused on production GenAI and data linking systems: built a large-scale RAG pipeline over millions of support docs using LangChain/Pinecone and added a LangGraph-based validation layer to cut hallucinations ~40%. Also built scalable PySpark entity resolution (95%+ accuracy) and fine-tuned Sentence-BERT embeddings with contrastive learning for ~30% relevance lift, with strong CI/CD and observability practices (OpenTelemetry, Prometheus/Grafana).”