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Vetted Data Validation Professionals
Pre-screened and vetted.
Mid-Level Software Engineer specializing in scalable systems and applied machine learning
Senior QA Engineer specializing in test automation, API testing, and cloud analytics platforms
Mid-Level Full-Stack Software Engineer specializing in Java/Spring Boot and React
Intern Data Scientist specializing in NLP and Large Language Models
Mid-level Full-Stack Developer specializing in FinTech payments and secure APIs
Junior Multimodal AI & Systems Engineer specializing in robotics and cloud infrastructure
Mid-Level Backend Software Engineer specializing in Java/Spring Boot microservices on AWS
Mid-Level Software Engineer specializing in AI platforms and backend systems
Mid-level Data Engineer specializing in streaming and cloud lakehouse platforms
Mid-level Data Engineer specializing in AWS, Spark, and streaming data pipelines
Mid-level Data Engineer specializing in cloud-native ETL and data warehousing
Mid-level AI Backend Engineer specializing in LLM applications and scalable ML systems
Staff Salesforce Engineer specializing in enterprise CRM and integrations
Mid-level Software Developer specializing in backend cloud and API platforms
Senior AI/ML Engineer specializing in GenAI, LLMs, NLP, and MLOps
Bradley Govender
Executive data and AI leader specializing in enterprise analytics transformation
“Product/data/analytics transformation leader with 6+ years driving large-scale modernization across media, healthcare, financial services, and consumer digital products. Notably led a challenging customer analytics transformation at Paramount Streaming and has hands-on experience prototyping LLM-powered analytics workflows while emphasizing governance, semantic layers, and human-in-the-loop deployment.”
JYOTHI N
Senior Data Scientist specializing in analytics, experimentation, and BI on AWS
“Data/ML practitioner focused on healthcare data quality and record linkage: analyzed 10M+ records, built anomaly detection and NLP-driven entity resolution, and automated AWS ETL/validation pipelines (Glue/Redshift/Lambda), cutting data errors by 40% and generating $500k in annual savings. Has hands-on experience with embeddings (Sentence Transformers/spaCy), FAISS vector search, and fine-tuning for domain-specific matching.”
Matthew Mullins
Senior Software Engineer specializing in AI/ML backend and cloud infrastructure
“Backend/data platform engineer with production experience at Walmart and Molina Healthcare, building Python microservices on AWS (EKS + Lambda) for real-time inventory and recommendation systems. Strong in reliability/observability and incident leadership, plus modernizing legacy healthcare workflows and building resilient AWS Glue/PySpark pipelines with schema evolution and data quality controls.”
Varaprasad Bathula
Intern AI/ML Engineer specializing in LLM applications and data infrastructure
“Hands-on LLM practitioner who built a production document-processing pipeline in Python, tackling long-document handling and latency with chunking/batching and a user-driven correction feedback loop. Experienced operationalizing AI workflows with Kubernetes (CronJobs, autoscaling, scheduled data cleaning and weekly retraining) and applying structured testing/evaluation (E2E, LLM-as-judge, HITL) while communicating solutions clearly to non-technical clients using visual diagrams.”