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Vetted Schema Validation Professionals
Pre-screened and vetted.
Mid-level AI/ML Engineer specializing in fraud detection and NLP in regulated industries
Mid-level Data Engineer specializing in Azure Databricks, Spark, and streaming analytics
Entry-level Software Engineer specializing in AI/ML and full-stack systems
Senior kdb+ Developer specializing in real-time market data and FinTech analytics
Mid-level Software Engineer specializing in Data Engineering, ML, and Generative AI
Senior Software Engineer specializing in low-latency C++ systems and AI infrastructure
Junior Data Scientist / Software Engineer specializing in forecasting, ETL, and full-stack systems
Senior Data Scientist specializing in ML, NLP, and predictive analytics
Mid-level Software Engineer specializing in backend and AI systems
Mid-level Full-Stack Software Engineer specializing in LLM/RAG systems in FinTech
Senior AI/ML Software Engineer specializing in healthcare NLP and search
Senior Python Backend Engineer specializing in microservices, cloud, and healthcare/telecom platforms
Mid-Level Full-Stack Software Engineer specializing in cloud-native microservices
Mid-level Software Engineer specializing in backend microservices and network test automation
Mid-level Data Scientist specializing in NLP, time-series forecasting, and GenAI
Senior Data Engineer specializing in AWS cloud data platforms and streaming analytics
Mid-level AI Engineer specializing in production LLM, RAG, and agentic AI systems
Swaraj Bhalerao
Mid-level Full-Stack Developer specializing in backend-heavy web applications
“Backend/full-stack engineer who has built AI-powered search and workflow systems in production, including a semantic resume-matching platform for recruiters and internal security data dashboards at ReliaQuest. Stands out for combining modern AI tooling with pragmatic reliability, performance tuning, and strong product intuition in ambiguous environments.”
Sri Niyati Kompella
Senior Data Engineer specializing in cloud data platforms and ML pipelines
“Data engineer focused on AWS-based enterprise data platforms, owning end-to-end pipelines from multi-source batch/stream ingestion (Glue/Kinesis/StreamSets/Airflow) through PySpark transformations into curated datasets for Redshift/Snowflake. Emphasizes production reliability with strong monitoring/observability and data quality gates, and reports ~30% performance improvement plus improved SLAs and latency after optimization.”
Hemanth Dantu
Senior Software Engineer specializing in data pipelines and legal data systems
“Data/analytics engineer who owned Angi’s service-request funnel event pipeline end-to-end, routing events server-side to bypass ad blockers and recovering ~15% lost tracking at millions of events/day. Built Snowflake/dbt reporting tables powering Looker dashboards, with strong emphasis on validation, monitoring/alerting, and safe schema evolution. Also shipped a reusable flow state management backend service with TTL storage, CI/CD, and developer-friendly APIs.”
Parvinder Singh
Mid-level Data Engineer specializing in AWS lakehouse platforms and scalable ETL/ELT
“Data engineer focused on reliable, production-grade pipelines and data services: has owned end-to-end ingestion-to-serving workflows processing millions of records/day, using Airflow, Python/SQL, and PySpark. Demonstrates strong operational rigor (monitoring, retries, idempotency, backfills) and measurable outcomes (98% stability, ~30% faster processing), plus experience exposing curated warehouse data via versioned REST APIs.”