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Vetted Regression Analysis Professionals
Pre-screened and vetted.
Director of Data Science specializing in ML, NLP/LLMs, and MLOps
Senior AI/ML Engineer specializing in healthcare AI, LLMs, and MLOps
Senior Generative AI & Machine Learning Engineer specializing in LLMs and MLOps
Mid-level Backend Software Engineer specializing in FinTech and scalable APIs
Mid-level Machine Learning Engineer specializing in NLP, LLMs, and deep learning
Junior UX Researcher specializing in privacy, trust, and human-centered AI
Senior Production Support Engineer specializing in Java applications and cloud operations
Mid-level Data Analyst & ML Engineer specializing in GenAI, NLP, and cloud data pipelines
Mid-level Data Engineer specializing in cloud data pipelines and analytics platforms
Mid-level Data Scientist specializing in customer analytics, ML pipelines, and churn forecasting
Mid-level Paid & Lifecycle Marketing Manager specializing in performance and retention
Mid-level AI/ML Engineer specializing in recommender systems, NLP, and MLOps
Mid-level Full-Stack Developer specializing in .NET, Python/Django, and cloud-native web apps
Senior Strategy & Operations Manager specializing in analytics, pricing, and business operations
Mid-level AI/ML Data Engineer specializing in analytics, ML pipelines, and LLM applications
Mid-level Data Scientist specializing in marketing analytics and scalable data platforms
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.”
“Built and deployed a production RAG-based LLM Q&A and summarization platform for internal documents, emphasizing grounded answers with structured prompting and citations to reduce hallucinations. Experienced orchestrating end-to-end LLM workflows with LangChain plus cloud pipelines (Azure ML Pipelines, AWS), and runs iterative evaluation using both metrics (accuracy/hallucination/latency/cost) and real user feedback to drive reliability.”
“Built and deployed a live LLM-powered platform that takes a LinkedIn job URL + resume and generates job-specific resumes and personalized outreach at scale, with production-grade logging/monitoring/retries on Vercel + Railway. Experienced with agent orchestration (AWS Bedrock/Strands, LangGraph, CrewAI) and rigorous AI workflow testing, plus stakeholder-facing prototypes like data lineage/metadata and NL-to-SQL + dashboard generation.”