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Vetted Logistic Regression Professionals
Pre-screened and vetted.
Senior Cloud & Data Architect specializing in multi-cloud infrastructure and database platforms
Senior Generative AI Engineer specializing in RAG, LLM fine-tuning, and AI agents
Director of Data Science specializing in ML, NLP/LLMs, and MLOps
Senior AI/ML Data Scientist specializing in cloud-deployed NLP, CV, and MLOps
Mid-Level Back-End Software Engineer specializing in regulatory reporting (EMIR)
Mid-level Machine Learning Engineer specializing in NLP, LLMs, and deep learning
Principal Data Scientist specializing in Generative AI, LLMs, and ML platforms
Mid-level AI/ML Engineer specializing in GenAI, RAG, and cloud-native ML platforms
Mid-Level Full-Stack Software Engineer specializing in cloud microservices and LLM/RAG systems
Mid-level AI/ML Engineer specializing in NLP, RAG, and agentic AI
Intern Data Scientist specializing in NLP and Large Language Models
Mid-level Data Scientist specializing in marketing analytics and scalable data platforms
Senior Machine Learning Engineer specializing in NLP, Generative AI, and healthcare/legal AI
Senior AI Platform Engineer specializing in agentic AI and RAG systems
Rubeena Riyas
Senior AI Engineer specializing in LLM agents, RAG, and scalable data platforms
“ML/data engineer who owned an end-to-end production sales analytics pipeline at 15,000+ user scale, delivering ~50% compute reduction, ~80% faster reporting, and ~$1.2M impact. Also shipped a production RAG-based AI assistant over internal BigQuery/docs with evaluation metrics and safety guardrails, and built shared Python libraries to standardize reliability and accelerate engineering teams.”
Varaprasad Bathula
Intern AI/ML Engineer specializing in LLM applications and data infrastructure
“Hands-on LLM practitioner who built a production document-processing pipeline in Python, tackling long-document handling and latency with chunking/batching and a user-driven correction feedback loop. Experienced operationalizing AI workflows with Kubernetes (CronJobs, autoscaling, scheduled data cleaning and weekly retraining) and applying structured testing/evaluation (E2E, LLM-as-judge, HITL) while communicating solutions clearly to non-technical clients using visual diagrams.”
Manish Mallikarjuna Devatha
Principal Applied Scientist specializing in ML systems and Generative AI
“Built and owned an end-to-end agentic RAG chatbot platform for Baptist Health that helped clinicians access policy and clinical documents faster, reducing manual lookup by 80% and delivering about $2M in annual savings. Brings strong healthcare GenAI production experience, including HIPAA-aligned governance, PHI redaction, observability, evaluation, and scalable Python/Kubernetes deployment practices.”