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Vetted Encryption Professionals
Pre-screened and vetted.
Senior AI Engineer specializing in credit risk modeling and cloud ML platforms
Mid-level Full-Stack Software Engineer specializing in FinTech and Healthcare platforms
Junior Backend Software Engineer specializing in Java and Spring Boot
Junior Software Engineer specializing in full-stack web development and AI applications
Senior Data Scientist specializing in ML, NLP, and predictive analytics
Mid-Level Software Engineer specializing in Java microservices and distributed systems
Mid-level Full-Stack Developer specializing in payments and healthcare
Senior Data Engineer specializing in Azure Lakehouse and LLM/ML data platforms
Senior Cloud Operations & DevOps Engineer specializing in multi-cloud infrastructure and SRE
Senior AI/ML Engineer specializing in Generative AI, Agentic AI, and RAG systems
Senior Full-Stack Engineer specializing in AI/ML platforms and cloud-native backends
Mid-level Software Engineer specializing in distributed systems and cloud data pipelines
Mid-level Full-Stack Developer specializing in FinTech and modern web platforms
Senior Data Engineer specializing in real-time pipelines, cloud data platforms, and healthcare analytics
Senior Cloud Engineer specializing in AWS & Azure infrastructure, security, and automation
Senior Data Engineer specializing in AWS cloud data platforms and streaming analytics
Mansoor Khan
Mid-level Conversational AI Developer specializing in enterprise chatbots and RAG
“ML/AI practitioner with hands-on experience deploying models to production and optimizing for low-latency inference using pruning/quantization, with deployments on AWS SageMaker and Azure ML. Has orchestrated end-to-end ML pipelines with Airflow and Kubeflow (ingestion through evaluation) and emphasizes reproducibility via containerization and version-controlled artifacts, while effectively partnering with non-technical stakeholders using dashboards and business-aligned metrics.”
Sri Niyati Kompella
Senior Data Engineer specializing in cloud data platforms and ML pipelines
“Data engineer focused on AWS-based enterprise data platforms, owning end-to-end pipelines from multi-source batch/stream ingestion (Glue/Kinesis/StreamSets/Airflow) through PySpark transformations into curated datasets for Redshift/Snowflake. Emphasizes production reliability with strong monitoring/observability and data quality gates, and reports ~30% performance improvement plus improved SLAs and latency after optimization.”