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Vetted Jupyter Notebook Professionals
Pre-screened and vetted.
Mid-level Data Analytics & BI Developer specializing in Power BI dashboards
Intern AI Software Engineer specializing in machine learning and computer vision
Mid-level AI/ML Engineer & Data Scientist specializing in NLP and production ML
Mid-level Machine Learning Engineer specializing in NLP, computer vision, and LLMs
Mid-level AI & Machine Learning Engineer specializing in MLOps and NLP
Mid-level AI/ML Engineer specializing in GenAI, NLP, and AWS MLOps
Senior DevOps Software Engineer specializing in CI/CD automation and Linux platforms
Junior Full-Stack & Mobile Software Engineer specializing in AI-enabled products
Junior ML/Data Engineer specializing in NLP, cloud data pipelines, and real-time sentiment analysis
Mid-level AI/ML Engineer specializing in NLP, GenAI, and fraud/risk analytics
Junior AI Engineer specializing in LLMs, enterprise automation, and bioinformatics
Mid-Level Software Engineer specializing in cloud-native microservices and data platforms
Senior Full-Stack Software Engineer specializing in .NET, React, SQL, and AWS
Junior AI Engineer specializing in distributed ML pipelines and time-series forecasting
Senior Site Reliability Engineer specializing in infrastructure automation and production systems
Mid-level Data Engineer specializing in cloud ETL, streaming, and data warehousing
Junior Robotics and Computer Vision Engineer specializing in perception and autonomy
Junior Robotics & Mechatronics Engineer specializing in embedded automation and robotic systems
Mid-level AI/ML Engineer specializing in financial risk, NLP, and MLOps
Sravani Gangaraju
Mid-level AI/ML Engineer specializing in NLP, computer vision, and recommender systems
“Built and deployed a production NLP sentiment analysis system at Piper Sandler to turn noisy, finance-specific customer feedback into scalable insights. Demonstrates strong end-to-end MLOps: fine-tuning BERT, improving label quality, monitoring for language drift, and automating retraining/deployment with Airflow and Docker (plus Kubeflow exposure).”
Ravali Yerrapothu
Senior Machine Learning Engineer specializing in LLMs, RAG, and Computer Vision
“Built a production LLM-powered clinical note summarization and retrieval system that structures patient/provider/payer discussions into standardized outputs (symptoms, treatments, clinical codes, and prior-auth decisions) and stores notes as embeddings for hybrid search and proactive prior-authorization prediction. Experienced with LangChain/LangGraph orchestration, RAG, and grounding against medical code databases, and has communicated model feasibility/limitations to business stakeholders (Virtusa/Comcast).”