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Vetted Neural Networks Professionals
Pre-screened and vetted.
Senior Machine Learning Engineer specializing in multimodal AI and Wi‑Fi sensing
Mid-level AI/ML Engineer specializing in LLM fine-tuning and RAG pipelines
Intern Data Scientist specializing in model compression and agentic RAG systems
Intern AI Software Engineer specializing in machine learning and computer vision
Intern DevOps Engineer specializing in multi-cloud infrastructure and Kubernetes
Mid-level AI & Machine Learning Engineer specializing in MLOps and NLP
Mid-level Data Scientist specializing in machine learning, computer vision, and generative AI
Mid-level AI/ML Engineer specializing in NLP, GenAI, and fraud/risk analytics
Senior Backend/Cloud Engineer specializing in Java, Spring Boot, and AWS
Mid-level QA Automation Engineer specializing in web, API, and CI/CD test automation
Mid-Level Software Engineer specializing in ML and healthcare data systems
Ann Emily Gregoire
Senior Frontend Developer specializing in React and industrial ERP systems
“Frontend engineer focused on scalable architecture and long-term maintainability, emphasizing modular component design in React + TypeScript. Has experience building reusable component libraries (including Storybook and shared repos) and collaborating with design/product to refine UX workflows, reducing development time over successive iterations.”
sai anuragh Sangoju
Mid-level AI/ML Engineer specializing in fraud detection, credit risk, and NLP
“Built and deployed a production LLM-powered university support chatbot on Azure using a RAG pipeline, focusing on reducing hallucinations, improving latency, and handling ambiguous queries via confidence checks and clarification prompts. Also has hands-on orchestration experience (Airflow/Azure Data Factory), including hardening a demand-forecasting ingestion workflow with sensors, retries, and automated alerts, and uses a metrics-driven testing/monitoring approach for reliable AI agents.”
Mid-level Full-Stack Developer specializing in cloud-native web applications
Mid-level Data Scientist & AI Engineer specializing in NLP, computer vision, 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).”
Diana Minine Gudinho
Mid-level Data Scientist specializing in GenAI, RAG, and forecasting
“ML/NLP engineer focused on large-scale data linking for e-commerce-style catalogs and customer records, combining transformer embeddings (BERT/Sentence-BERT), NER, and FAISS-based vector search. Has delivered measurable lifts (e.g., +30% matching accuracy, Precision@10 62%→84%) and built production-grade, scalable pipelines in Airflow/PySpark with strong data quality and schema-drift handling.”