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Vetted Data Modeling Professionals
Pre-screened and vetted.
Staff Machine Learning Engineer specializing in LLM agents and ML systems
Mid-Level Software Development Engineer specializing in cloud-native backend systems
Intern Product Engineer specializing in AI-native GTM and FinTech payments
Senior QA/UAT & Integration Test Manager specializing in enterprise platforms and data migration
Mid-level Data Scientist specializing in ML, MLOps, and forecasting for FinTech and AI hardware
Mid-level Full-Stack Java Developer specializing in Financial Services
Junior Software Engineer specializing in ServiceNow, data engineering, and AWS
Junior Software Development Engineer specializing in ML, NLP, and data visualization
Mid-level Data Engineer specializing in cloud-native ETL and data warehousing
Senior AI/ML Engineer specializing in Generative AI and Computer Vision
Senior HR Business Partner specializing in performance, org effectiveness, and global talent programs
Mid-Level Backend Software Engineer specializing in distributed systems and observability
Principal Data Scientist specializing in AI/ML forecasting and MLOps
Principal Data Scientist specializing in LLMs, RAG, and enterprise AI products
Adithya Rajendra
Junior Data Engineer specializing in Azure data platforms and GenAI analytics
“Data/ML practitioner with experience spanning medical imaging (retinal vessel analysis for hypertension/CVD risk prediction) and enterprise data engineering at Carl Zeiss. Built large-scale SAP data cleaning/validation pipelines (10M+ daily records, ~99% accuracy) and RAG-based semantic search with LangChain/vector DBs that cut manual querying by 82%, plus automation that reduced data onboarding from 8 hours to 12 minutes.”
Vaughn Eugenio
Mid-Level Software Engineer specializing in distributed microservices and real-time systems
“Software engineer with production experience at DraftKings and SRC, owning high-impact platform changes like early-start lineup validation fixes and a multi-service refactor to support dual-role players (e.g., Ohtani) using backward-compatible, feature-flagged rollouts. Has embedded onsite with military users to rapidly ship improvements to a COP/TAK mapping integration (TrackSync), and leverages AI tools (Claude) to accelerate learning and delivery in new domains (e.g., ESP32 smart deadbolt project).”
Hrishikesh Gawde
Mid-Level Software Engineer specializing in AI/LLM systems and Azure backend platforms
“LLM/agentic systems practitioner who specializes in moving demo-only assistants into reliable, observable, cost-controlled production services. Strong in real-time diagnosis of complex agent workflows (including tracing, loop detection, and guardrails) and in customer-facing enablement—running workshops, building tailored PoCs, and partnering with sales to close deals by proving reliability in high-risk pilots.”
Jahnavi Bellapukonda
Mid-Level Software Engineer specializing in full-stack web and cloud systems
“Full-stack engineer with strong data engineering and privacy-domain experience, having owned an automated Data Subject Rights (DSR) processing pipeline end-to-end across Azure SQL and GCP (GCS/BigQuery). Emphasizes production reliability via idempotency, validation checkpoints, structured logging/monitoring, and safe CI/CD-driven deployments, and has also built React+TypeScript + Node/Postgres web apps with scalable, maintainable architecture.”