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Vetted ETL Pipelines Professionals
Pre-screened and vetted.
Mid-level Product & Technical Program Manager specializing in data-driven digital platforms
Senior Backend Software Engineer specializing in Python, cloud microservices, and FinTech
Mid-Level Full-Stack Software Engineer specializing in cloud-native microservices
Senior Data Scientist specializing in Generative AI, NLP, and ML for banking and healthcare
Senior Data Analyst & Data Scientist specializing in healthcare, epidemiology, and predictive modeling
Mid-level AI/ML Engineer specializing in MLOps, NLP/CV, and fraud detection
Mid-level Python Developer specializing in APIs, microservices, and data-driven e-commerce systems
Mid-level Data Analyst specializing in BI dashboards, SQL optimization, and cloud data pipelines
Senior Full-Stack Software Engineer specializing in React, React Native, and Spring Boot
Mid-level Supply Chain & Business Analyst specializing in SQL/Python analytics
Senior Machine Learning Engineer specializing in GenAI, LLMs, and MLOps
Mid-level Software Engineer specializing in distributed backend systems for FinTech
Mid-level Software Engineer specializing in distributed systems and cloud-native backend platforms
Senior Java Full-Stack Developer specializing in insurance and healthcare platforms
Senior AI Python Engineer specializing in Generative AI and MLOps
Saikrishna Paila
Junior AI Engineer specializing in RAG pipelines and agentic AI systems
“Built and shipped production RAG/agentic systems in high-stakes domains (biomedical and legal), including an enterprise biomedical document retrieval platform over ~10k scientific docs and a multilingual African-law assistant at the World Bank. Deep hands-on experience with LangChain/LangGraph/LlamaIndex and evaluation tooling (LLM-as-a-judge, safety/hallucination detection), with measurable gains in retrieval quality and hallucination reduction.”
Bhavya Surana
Junior Software Engineer specializing in distributed systems and AI automation
“Backend engineer/technical lead with experience building and operating real-time blockchain analytics systems at Merkle Science. Owned high-traffic Django/DRF services and Kafka streaming pipelines processing millions of events daily, with deep focus on performance (N+1 fixes, indexing, caching) and reliability (DLQs, retries, monitoring). Also led containerization and Kubernetes/GitOps-style CI/CD on Google Cloud, including a migration off Google App Engine to reduce cost and improve scalability.”