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Vetted R Professionals
Pre-screened and vetted.
Junior Machine Learning Software Engineer specializing in cloud-deployed predictive models
Mid-level AI Engineer specializing in retail personalization and LLM-powered systems
Senior Data Analyst specializing in healthcare, insurance, and financial analytics
Senior Data Analyst specializing in BI, data engineering, and predictive analytics
Mid-level Data Scientist specializing in ML, NLP, and LLM-powered analytics
Mid-level Data Scientist specializing in ML, NLP, and analytics for FinTech
Mid-level Data Engineer specializing in cloud ETL, streaming, and data warehousing
Mid-level Machine Learning Engineer specializing in production ML, MLOps, and Generative AI
Junior Business Analyst specializing in real estate finance and data analytics
Mid-level Business Analyst specializing in BI, predictive analytics, and operations
Mid-level Data Analyst specializing in BI, ETL automation, and dashboard reporting
Mid-level Business Systems Analyst specializing in financial systems and QA
Junior GTM and growth operator specializing in AI, SaaS, and sports tech
Mid-level Data Analyst specializing in analytics, dashboards, and growth insights
Mid-level AI/ML Engineer specializing in FinTech and production ML systems
Junior marketing and communications analyst specializing in PR, social media, and data research
Naresh Vemula
Mid-level Data Engineer specializing in Cloud & Big Data ETL/ELT
“Data engineer in financial services (Northern Trust) who has worked across ingestion, transformation, data quality, orchestration, and serving on AWS (S3/Glue/EMR) with Airflow. Highlights include processing ~15M transactions with validation/anomaly detection for regulatory reporting and improving Snowflake query performance by 27% for risk/compliance reporting. Also built a personal real-time streaming service (FastAPI, Kafka, Redis, Cassandra) and uses production reliability patterns like blue-green/atomic swaps and robust retry strategies.”
Drashti Magia
Junior AI Engineer specializing in LLMs, multimodal ML, and applied machine learning
“Software engineer with a disciplined, production-minded approach to AI-driven development: uses ChatGPT, Claude, GitHub Copilot, and scoped coding agents to accelerate delivery without giving up architectural judgment. Notably applied a multi-agent workflow on ClinicOps Copilot, using agents for planning, Bedrock/RAG scaffolding, and failure testing while personally owning architecture, grounding quality, and end-to-end review.”
Amit Prajapati
Mid-level Software Engineer specializing in full-stack development and applied AI
“Built a production RAG chatbot for Worcester Polytechnic Institute that indexes 500+ webpages using FAISS + Llama 3, with strong grounding/hallucination controls (confidence thresholds and citations). Also has internship experience orchestrating multi-step ETL pipelines with AWS Step Functions and delivered a 30x faster fraud/claims triage workflow at Munich Re using association rules and stakeholder-friendly dashboards.”