.png){kind=logo}
Vetted spaCy Professionals
Pre-screened and vetted.
Mid-level AI/ML Engineer specializing in NLP, GenAI, and fraud/risk analytics
Senior Software Developer specializing in cloud-native microservices and GenAI/ML
Mid-level AI/ML Engineer specializing in LLMs, NLP, and MLOps
Junior AI Engineer specializing in LLMs, enterprise automation, and bioinformatics
Mid-level Machine Learning & AI Engineer specializing in LLMOps, digital twins, and RL
Mid-level AI Engineer specializing in Computer Vision, NLP, and Generative AI
Mid-level AI/ML Engineer specializing in LLM fine-tuning and RAG for healthcare
Mid-level Data Science & AI/ML Engineer specializing in MLOps, NLP, and computer vision
Junior Machine Learning Software Engineer specializing in cloud-deployed predictive models
Mid-level AI Engineer specializing in retail personalization and LLM-powered systems
Mid-level Data Scientist specializing in ML, NLP, and LLM-powered analytics
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.”
revanth polthi
Mid-level Data Scientist specializing in Generative AI and MLOps
“GenAI/LLM engineer with production experience at Allstate building an end-to-end document intelligence workflow for insurance operations—automating document intake, classification, and risk signal extraction. Emphasizes high-reliability design for regulated/high-stakes outputs using schema enforcement, confidence thresholds, validation rules, and human-in-the-loop routing, with metric-driven offline evaluation and production monitoring.”
Mid-level Data Scientist & AI Engineer specializing in NLP, computer vision, and MLOps
Mid-level Machine Learning Engineer specializing in healthcare and enterprise analytics
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).”
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.”
Junior Full-Stack Software Engineer specializing in cloud-native microservices and data platforms