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Vetted ETL Pipelines Professionals
Pre-screened and vetted.
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.”
Navya Perumbudur
Mid-level Data Analyst specializing in SaaS product and business analytics
“Analytics professional with hands-on experience building SQL and Python workflows for support operations and product reporting. They stand out for turning messy CRM, ticket, and activity data into validated, performance-optimized reporting tables and dashboards, while partnering closely with stakeholders to standardize KPI definitions around SLA performance and retention.”
Xiaoai Zhu
Entry-level Software Engineer specializing in AI and full-stack data systems
“Backend/AI engineer who has built an offline, citation-grounded RAG system end-to-end with hybrid retrieval, local LLM inference, and quantitative evaluation via RAGAS. Also brings real-time systems experience from an Airbnb-like booking platform and data pipeline/ML quality work from a Bilibili internship, with a strong emphasis on reliability, privacy, and measurable correctness.”
Mid-level Software Engineer specializing in cloud-native microservices and real-time data pipelines
Mid-level Data Scientist specializing in machine learning, analytics, and cloud data pipelines
Senior Full-Stack Software Engineer specializing in Python/Django and modern JavaScript
Senior Full-Stack Engineer specializing in Python, cloud-native systems, and LLM applications
Mid-Level Full-Stack Software Engineer specializing in FinTech and EdTech
Intern Software Engineer specializing in cloud infrastructure and distributed systems