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Vetted Classification Professionals
Pre-screened and vetted.
Director of Risk & Control Management specializing in financial services governance and regulatory remediation
Senior Full-Stack Developer specializing in cloud-native microservices and AI-driven healthcare apps
Mid-level AI/ML Engineer specializing in Generative AI, LLMs, and scalable inference
Senior Software Engineer specializing in AI for Healthcare and Enterprise SaaS
Abhinav Bandaru
Junior Data Scientist specializing in Generative AI and agentic LLM systems
“LLM/agentic-systems builder who has shipped production tools for investment research and procurement insights, including a company screener that processes thousands of conference-listed companies using FireCrawl + Google Search + Gemini. Demonstrates strong orchestration expertise (LangGraph multi-agent graphs), performance optimization (async/batching to sub-30s), and pragmatic reliability/evaluation practices with stakeholder-friendly UX (real-time cost tracking and model/parameter toggles).”
Subhash Mothukuru
Mid-level Machine Learning Engineer specializing in LLMs, generative AI, and MLOps
“Built and shipped a production LLM-powered medical scribe that generates structured clinical visit summaries using RAG, strict JSON schemas, and post-generation validation to reduce hallucinations. Experienced in making LLM workflows deterministic and observable (structured logging/metrics/tracing) and in evaluation-driven iteration with metrics like schema pass rate and edit rate; collaborated closely with clinicians and policy stakeholders at Scale AI to drive adoption.”
Mid-level Data Scientist specializing in NLP, MLOps, and semiconductor manufacturing analytics
Mid-level Machine Learning Engineer specializing in search ranking and NLP
Senior Data Scientist specializing in NLP, LLMs, and Generative AI automation
Staff Software Engineer specializing in AI/ML and data engineering for healthcare automation
Intern Software Engineer specializing in data engineering and LLM evaluation
Senior Applied ML Scientist specializing in LLMs, ads ranking, and RAG systems
Senior Software Engineer specializing in cloud platforms, data pipelines, and ML
Principal Data Scientist specializing in ML, NLP, and forecasting for marketing and supply chain
Mid-level Data Scientist specializing in ML for healthcare and strategy analytics
Mid-level Software Engineer specializing in Python, distributed systems, and AI backend services
Krishna Sahith Poruri
Mid-level AI/ML Engineer specializing in LLMs, RAG, and MLOps
“ML/LLM engineer who built a production RAG system (GPT-4 + FAISS + FastAPI) to deliver fast, grounded answers from proprietary documents, optimizing for sub-200ms latency and high-concurrency scale. Strong MLOps/observability background: drift monitoring with Prometheus + Streamlit, automated retraining via Airflow, Kubernetes autoscaling, and MLflow-managed model lifecycle, plus inference cost reduction through quantization and structured pruning.”
Mid-level AI/ML Engineer specializing in recommender systems, fraud detection, and LLMs
Mid-level AI/ML Engineer specializing in NLP/LLMs and production ML systems
Senior AI/ML Engineer specializing in personalization, recommendations, and forecasting
Rhutwij Tulankar
Engineering Manager and ML/Data Architect specializing in scalable data platforms and personalization
“Hands-on engineering manager at a marketing company leading a highly senior, distributed team (10 direct reports) while personally coding ~60–70% and owning end-to-end architecture across three interconnected products. Built agentic CRM automation and a reinforcement-learning-driven distribution layer for channel spend/bidding, with a strong focus on scalable design and observability (Prometheus/APM/logging) enabling frequent releases and few production incidents.”