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Vetted ETL Professionals
Pre-screened and vetted.
Junior AI Engineer specializing in distributed ML pipelines and time-series forecasting
Mid-level Data Science & AI/ML Engineer specializing in MLOps, NLP, and computer vision
Senior Data Analyst specializing in healthcare, insurance, and financial analytics
Senior Data Analyst specializing in BI, data engineering, and predictive analytics
Mid-level Data Scientist specializing in ML, NLP, and LLM-powered analytics
Mid-level Python Developer specializing in backend APIs and AWS cloud-native systems
Mid-level Software Engineer specializing in backend APIs and data pipelines
Mid-level Data Scientist specializing in ML, NLP, and analytics for FinTech
Mid-level Full-Stack Java Developer specializing in cloud-native microservices
Mid-level Data Engineer specializing in cloud ETL, streaming, and data warehousing
Mid-level Machine Learning Engineer specializing in production ML, MLOps, and Generative AI
Mid-level DevOps Engineer specializing in AWS, Kubernetes, and regulated healthcare platforms
Senior Full-Stack Software Engineer specializing in cloud-native FinTech and data pipelines
Senior .NET Developer specializing in cloud-native microservices and modern web apps
Senior Full-Stack Python Developer specializing in microservices, data engineering, and cloud
Shreevershith Kollabettu
Mid-level AI Engineer specializing in LLMs, agentic systems, and MLOps
“AI-focused engineer with Infosys experience building Azure/.NET chatbot applications and recent hands-on work with FastAPI/LangChain. Built a hackathon multi-agent legal counsel system showcasing agent orchestration, and emphasizes production readiness via Docker, GitHub Actions CI/CD, pytest automation, and adversarial simulations for auditable AI behavior. No direct robotics/ROS experience to date.”
Vamsidhar Vuddagiri
Mid-level AI/ML Engineer specializing in LLMs, MLOps, and Azure
“AI/ML engineer who led Impacter AI’s production deployment of a specialized outreach LLM (CharmedLLM) fine-tuned on GPT-4.1, cutting API costs ~40% while boosting outreach effectiveness ~60%. Built the supporting MLOps and data infrastructure (MLflow, Kubernetes, PySpark, Kafka) and has agentic AI experience from University of Dayton, using LangChain + RAG and vector search (Pinecone) to improve reliability and reduce hallucinations.”
Shrutika Chawla
Senior Full-Stack Developer specializing in React/React Native and SaaS platforms
“Frontend engineer who has led end-to-end delivery of a climate-risk visualization/financial impact web platform using micro-frontends (Webpack Module Federation), a shared MUI design system, and React Query server-state to keep independent modules consistent and performant. Also improved a complex rules-heavy document editor (Crove.app) by eliminating input lag with memoization + Web Workers and introducing a headless rendering engine reused across products, with disciplined rollout via feature flags and Sentry monitoring.”