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Vetted Predictive Modeling Professionals
Pre-screened and vetted.
Mid-level Data Analyst/Data Scientist specializing in ML, dashboards, and predictive analytics
Mid-level AI/ML Engineer specializing in NLP, GenAI, and fraud/risk analytics
Senior Software Developer specializing in cloud-native microservices and GenAI/ML
Staff GenAI Solutions Architect specializing in LLMs, RAG, and AI platforms
Mid-level Machine Learning Engineer specializing in MLOps, fraud detection, and data security
Mid-level AI/ML Engineer specializing in Generative AI agents and workflow automation
Senior QA Engineer specializing in test automation, API testing, and AI-assisted QA
Mid-level Data Scientist specializing in machine learning and analytics
Mid-level Machine Learning Engineer specializing in MLOps and Generative AI
Mid-level Full-Stack Developer specializing in data platforms and analytics dashboards
Mid-level Data Analyst/Data Engineer specializing in machine learning and NLP
Mid-level Data Science & AI/ML Engineer specializing in MLOps, NLP, and computer vision
Senior Data Analyst specializing in healthcare, insurance, and financial analytics
Mid-level Data Scientist specializing in ML, NLP, and LLM-powered analytics
Executive CIO/CTO specializing in AI transformation for healthcare and enterprise operations
Mid-level Backend Python Developer specializing in APIs, ETL, and transaction processing
Vamsidhar Vuddagiri
Mid-level AI/ML Engineer specializing in LLMs, MLOps, and Azure
“AI/ML engineer who led Impacter AI’s production deployment of a specialized outreach LLM (CharmedLLM) fine-tuned on GPT-4.1, cutting API costs ~40% while boosting outreach effectiveness ~60%. Built the supporting MLOps and data infrastructure (MLflow, Kubernetes, PySpark, Kafka) and has agentic AI experience from University of Dayton, using LangChain + RAG and vector search (Pinecone) to improve reliability and reduce hallucinations.”
Mid-level Data Scientist & AI Engineer specializing in NLP, computer vision, and MLOps
Mid-level Software Engineer specializing in FinTech and scalable backend systems
Mid-level AI/ML Engineer specializing in financial risk, NLP, and MLOps
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).”
VamshiKrishna Challa
Mid-level Data Scientist specializing in industrial IoT, predictive analytics, and generative AI
“ML/NLP engineer with Industrial IoT experience who built an end-to-end anomaly detection and GenAI explanation system: AWS (S3, PySpark, EC2/Lambda) pipelines feeding dashboards, plus transformer-embedding vector search to connect anomalies to noisy maintenance notes and past events. Demonstrated measurable impact (15% lift in defect detection; ~35% reduction in manual review; 35% fewer preprocessing errors) and strong productionization practices (orchestration, monitoring, rollback, data-quality controls).”