.png){kind=logo}
Vetted ETL Pipelines Professionals
Pre-screened and vetted.
Principal AI & Cloud Architect specializing in banking and healthcare platforms
Senior Software Engineer specializing in compliance and risk-sensitive full-stack systems
Senior Full-Stack .NET Engineer specializing in healthcare, FinTech, and AI search
Senior Full-Stack Engineer specializing in FinTech and cloud-native systems
Senior Backend Engineer specializing in AWS serverless platforms for FinTech and Healthcare
Mid-level Data Scientist / ML Engineer specializing in risk, fraud, NLP and recommender systems
Mid-level Machine Learning/AI Engineer specializing in GenAI, RAG, and LLM inference
Mid-level Software Engineer specializing in backend systems, cloud platforms, and AI services
Mid-level Full-Stack Developer specializing in cloud-native web apps and LLM integrations
Mid-level AI Software Engineer specializing in agentic AI, RAG, and data engineering
Mid-level Business Intelligence Engineer specializing in AI-powered analytics
Mid-level Revenue Operations Analyst specializing in business analytics and Salesforce
Senior Project Manager and Scrum Master specializing in regulated technical programs
Senior Backend Engineer specializing in scalable cloud and compliance systems
Tushar Gwal
Mid-level AI/ML Engineer specializing in GenAI, computer vision, and MLOps
“AI engineer with experience taking a GPT-4-powered GenAI career coach toward production on Azure AI Foundry, re-architecting the backend with hybrid (vector + keyword) search and RAG optimizations to cut latency by 50%. Also has client-facing TCS experience building healthcare ETL pipelines and delivering error-free monthly reports, plus current work analyzing agentic system reasoning traces and guardrail drift as an AI research fellow.”
Anju Vilashni Nandhakumar
Entry-level Machine Learning Engineer specializing in RAG and NLP systems
“Built a 24/7 Python/LangChain email agent in production with validation, circuit breakers, human-review escalation, and structured observability. Also applied data and automation skills at Community Dreams Foundation, including turning a vague donor-insights request into a usable donor-risk prediction workflow and raising ETL reliability from roughly 85% to 99% by diagnosing SQLite concurrency issues.”
Preetham Dandu
Junior Software Engineer specializing in backend, distributed systems, and cloud platforms
“MS candidate with strong backend/data engineering focus who builds research and data systems with production-grade rigor (reproducibility, observability, restartability). Has hands-on experience securing and scaling FastAPI-based gateways in front of Java microservices, leading SQL Server→Snowflake migrations with dual-write/feature-flag rollouts, and hardening Kafka-based fleet-tracking systems against out-of-order and duplicate events.”