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Vetted Data Quality Professionals
Pre-screened and vetted.
Mid-level Paid Media Manager specializing in Google Ads and Meta performance marketing
Junior Data Scientist specializing in production ML, LLM systems, and cloud analytics
Mid-level Product Manager specializing in B2B SaaS and API-driven data products
Mid-level Data Engineer specializing in cloud data platforms and streaming analytics
Mid-level Sales Development Representative specializing in B2B outbound pipeline generation
Mid-level AI Engineer specializing in Azure Generative AI and data platforms
Junior Software Engineer specializing in full-stack development and machine learning
Junior Data Analyst specializing in analytics, ETL, and machine learning
Mid-level AI/ML Data Engineer specializing in MLOps and Generative AI
Mid-level Data Analyst specializing in policy research and stakeholder-ready data storytelling
Mid-Level ML/AI Engineer specializing in LLMs, RAG, and multi-agent systems
Akash Mishra
Mid-level Data Engineer specializing in ETL pipelines on GCP
“Full-stack engineer from Larix Technologies who led a Next.js migration feature: an internal real-time workflow status dashboard built with App Router/TypeScript using server components for initial render and client polling for live updates. Demonstrates strong post-launch ownership—monitoring latency/error rates, adding caching and payload reductions, and optimizing Postgres queries/indexes—plus experience building durable RabbitMQ-based message routing workflows with idempotency, retries, and dead-letter queues.”
Chinmoy Das
Mid-Level Full-Stack Software Engineer specializing in AI agents and cloud platforms
“Backend/data engineer focused on climate/emissions data platforms, building production Python (FastAPI) microservices and AWS serverless/ETL pipelines (Glue/Athena/Lambda/EventBridge). Demonstrated strong reliability and observability practices plus measurable optimization wins, including cutting PostgreSQL query runtimes from minutes to seconds and reducing AWS costs from ~$6k/month to ~$400/month.”
Adarsh Vodnala
Mid-level Full-Stack Software Engineer specializing in SaaS and AI-enabled platforms
“Built and shipped production AI features in the automotive dealership domain, including an end-to-end computer-vision damage detection system for trade-ins and a tool-calling, RAG-enabled LotSync AI Agent that answers inventory/VIN questions using strict schemas and internal APIs to avoid hallucinations. Also developed a Dagster + Oracle automated reporting pipeline as a Graduate Research Assistant, supporting 15+ university departments with normalized, reliable ETL workflows.”
Pujitha Sangaraju
Mid-Level Embedded Software Engineer specializing in real-time firmware and industrial automation
“Robotics software engineer focused on reliability in real-time sensor pipelines and ROS/ROS2 integration, with hands-on experience hardening systems against noisy data, dropouts, and network variability. Uses ROS introspection tools plus simulation (Gazebo/Webots) to diagnose latency and stability issues before hardware deployment, and supports repeatable rollouts via Docker and CI/CD.”
Mid-level Data Scientist / AI Research Engineer specializing in LLMs, RAG, and applied ML
Senior QA and Customer Success professional specializing in software quality and client operations
Intern Full-Stack Software Engineer specializing in web development, data pipelines, and cloud
Mahaboob Johny
Mid-level Data Analyst specializing in SQL/Python analytics, ETL pipelines, and BI dashboards
“Data/AI practitioner who built a production LLM-driven healthcare claims analytics and dashboarding system to reduce avoidable ER visits—processing 1.4M+ claims, flagging 19% as non-emergent, and projecting ~$2.8M in annual savings. Demonstrates strong real-world LLM reliability and performance engineering (grounding, numeric validation, caching, materialized views, quantization) plus orchestration experience with Airflow and Azure Data Factory.”