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Vetted Scala Professionals
Pre-screened and vetted.
Mid-level Data Engineer specializing in real-time streaming and AI/ML data platforms
Mid-level Full-Stack Engineer specializing in Java/Spring and AWS microservices
Mid-level Data Engineer specializing in cloud data pipelines and financial/billing analytics
Mid-Level Software Engineer specializing in distributed data platforms and AI/ML pipelines
Senior Machine Learning Engineer specializing in Generative AI and Healthcare IT
Mid-level Software Engineer specializing in backend systems for Healthcare IT and FinTech
Mid Software Engineer specializing in distributed systems and full-stack platforms
Principal Backend Software Engineer specializing in JVM microservices on AWS
Mid-level Data Scientist / ML Engineer specializing in risk, fraud, NLP and recommender systems
Intern Full-Stack/AI Engineer specializing in LLM applications and cloud-native web systems
Senior Full-Stack Java Developer specializing in cloud-native microservices
Mid-level Data Scientist specializing in GenAI, NLP, and cloud MLOps
Senior Data Engineer specializing in cloud lakehouse platforms for banking and healthcare
Mid-level Data Engineer specializing in cloud lakehouse and streaming analytics for financial services
Mid-level Data Scientist specializing in ML, NLP, and LLM-powered analytics
Sai Manikanta Kasireddy
Mid-level Machine Learning Engineer specializing in cloud-native GenAI and RAG systems
“Built and productionized an internal GenAI chatbot that makes company policy/SOP knowledge instantly searchable, using a secure RAG architecture on AWS (Bedrock/Titan embeddings/OpenSearch Serverless, Textract/Lambda/S3 ingestion, Claude 3 Sonnet). Demonstrates strong MLOps/orchestration experience (Airflow, Step Functions with Lambda/Glue/SageMaker) and a rigorous reliability approach (RAGAS metrics, A/B testing, citation validation, monitoring), including collaboration with compliance stakeholders via review dashboards.”
Khuram Ismaeel
Senior AI/ML Engineer specializing in machine learning and cloud-native AI systems
“ML/AI engineer with hands-on ownership of production recommendation and GenAI systems, spanning experimentation, deployment, monitoring, and iteration. Stands out for delivering measurable outcomes—22% CTR lift, 15% conversion lift, and a 30% reduction in support tickets—while demonstrating strong judgment on latency, cost, and safety tradeoffs in real-world systems.”
Nagasaikumar Jampani
Mid-level AI/ML Engineer specializing in Generative AI and RAG pipelines
“AI/LLM engineer with healthcare domain experience who built a production clinical support “chart bot” for Molina, including PHI-safe ingestion of 200k+ PDF policies, vector retrieval, and a fine-tuned LLaMA served via vLLM on ECS Fargate. Demonstrated measurable performance wins (HNSW + namespace partitioning; 30% inference latency reduction) and a rigorous evaluation/monitoring approach, while partnering closely with nurses and operations teams to shape workflows and guardrails.”
Intern Full-Stack Software Engineer specializing in AI-powered web applications
Mid-level Full-Stack Java Developer specializing in cloud-native microservices