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Vetted ETL Pipelines Professionals
Pre-screened and vetted.
Mid-level Machine Learning Engineer specializing in NLP, LLMs, and MLOps
Principal Data Scientist specializing in Generative AI, LLMs, and ML platforms
Senior Software Engineer specializing in FinTech and cloud platforms
Mid-level AI/ML Engineer specializing in GenAI, LLMs, and real-time ML systems
Mid-Level Software Engineer specializing in cloud-native microservices and AI automation
Mid-level Data Scientist specializing in customer analytics, ML pipelines, and churn forecasting
Mid-level AI/ML Engineer specializing in GenAI, RAG, and cloud-native ML platforms
Intern Data Scientist specializing in NLP and Large Language Models
Mid-level AI Data Scientist specializing in financial risk, fraud detection, and NLP/LLM systems
Mid-Level Software Engineer specializing in cloud-native distributed systems
Senior Data Scientist specializing in Generative AI, NLP, and MLOps
Mid-level Full-Stack Engineer specializing in cloud-native microservices and data integrations
Mid-level Data Engineer specializing in AWS, Spark, and streaming data pipelines
Staff Salesforce Engineer specializing in enterprise CRM and integrations
Jugal Rayala
Mid-level Full-Stack Developer specializing in AI-powered cloud applications
“Full-stack engineer who has owned customer-facing AI recommendation and analytics dashboards end-to-end (backend APIs/data processing through React UI, deployment, and monitoring). Demonstrates strong systems thinking around scaling microservices—using observability, caching, async workflows, and resilience patterns—and also built an internal ops dashboard that became the default tool for on-call incident reviews.”
Linzhi Wu
Intern Investment & Business Analyst specializing in financial modeling and analytics
“Early-stage investing/venture sourcing profile with experience building a structured founder-sourcing pipeline across online communities, universities/hackathons, and in-person events. Interned at OrCap LLC, where they converted cold outreach into qualified founder conversations by staying useful over time (insights, relevant intros) and running structured first calls that led to internal greenlights for deeper diligence.”
Rakesh Eleti
Mid-level AI/ML Engineer specializing in LLMs, RAG, and MLOps
“Healthcare ML/AI engineer at Cigna who has owned a clinical RAG pipeline from prototype through production, monitoring, compliance, and iteration. Stands out for combining LLM product delivery with healthcare-grade safety and explainability, driving a 38% retrieval precision gain, 42% hallucination reduction, and meaningful improvements in team velocity and system reliability.”