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Vetted NumPy Professionals
Pre-screened and vetted.
“Built and shipped a production-grade RAG-powered news summarization and Q&A product, tackling real-world issues like retrieval drift, hallucinations, latency, and autoscaling deployment (Docker + FastAPI + Streamlit Cloud). Experienced in end-to-end ML/LLM workflow automation using Airflow, Kubeflow Pipelines, and MLflow, and has demonstrated business impact (40% inference precision improvement) through close collaboration with non-technical stakeholders at Evoastra Ventures.”
Akshay Amudhan
Entry Machine Learning Engineer specializing in quantitative finance and DeFi
“Built and deployed a production RAG chatbot using a vector database + LangChain-orchestrated pipeline, focusing on grounded, context-aware responses. Demonstrates practical trade-off thinking (retrieval quality vs latency/cost), hallucination control, and iterative improvement through logging, manual review, and stakeholder feedback loops.”
Intern Full-Stack & Machine Learning Developer specializing in MERN and real-time systems
Junior Full-Stack Developer specializing in React, Node.js, and AI/ML
Entry AI Developer specializing in Generative AI, agentic tools, and RAG chatbots
Entry AI Engineer specializing in machine learning, computer vision, and data mining
Entry Data Scientist specializing in applied mathematics and predictive modeling
Intern Machine Learning Engineer specializing in NLP, RAG, and time-series forecasting