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Vetted PyTorch Professionals
Pre-screened and vetted.
Junior Machine Learning Engineer specializing in Agentic RAG and Document AI
“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.”
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 Data Scientist specializing in applied mathematics and predictive modeling
Entry-level Product Manager and AI/ML Engineer specializing in agentic AI
Intern Machine Learning Engineer specializing in NLP, RAG, and time-series forecasting