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Vetted pandas Professionals
Pre-screened and vetted.
Mid-level Data Analyst specializing in marketing analytics and machine learning
Intern Robotics Engineer specializing in ML, SLAM, and robot manipulation
Mid-level AI/ML Engineer specializing in MLOps, streaming data, and NLP/CV
Mid-level Applied AI Engineer specializing in LLM agents and RAG systems
Mid-level Software Engineer specializing in AI-driven backend and automation
Mid-level Data Scientist specializing in predictive modeling and applied mathematics
Mid-Level Full-Stack Java Developer specializing in React, Spring Boot, and cloud microservices
Mid-Level Software Engineer specializing in IoT platforms and data pipelines
Junior Software Developer & QA Engineer specializing in test automation and AI/ML
Senior Backend/Infrastructure Engineer specializing in Python microservices and AWS
Mid-level AI/ML Engineer specializing in GenAI, RAG, and multi-agent LLM systems
Senior Full-Stack Engineer specializing in growth, analytics, and funnel optimization
Mid-Level Software Engineer specializing in full-stack systems and authentication
Mid-level Data Engineer specializing in cloud data platforms and real-time pipelines
Senior Python Backend Engineer specializing in scalable APIs, cloud microservices, and AI/ML platforms
Senior Full-Stack Python Engineer specializing in secure cloud platforms and ML systems
Ruthvika Mamidyala
Mid-level Data Scientist specializing in GenAI, RAG, and predictive modeling
“Backend engineer who built and evolved Python/FastAPI services (including AWS-deployed ML prediction APIs) for real-time profitability and risk insights at TenXengage. Emphasizes pragmatic architecture, strong validation/observability, and secure access controls (RBAC + row-level filtering), and has led safe migrations via parallel runs and incremental rollouts; reports ~20% forecasting accuracy improvement.”
sathwik kuchana
Mid-level AI Engineer specializing in Generative AI, LLMs, and RAG on AWS
“Built and deployed an LLM-powered clinical decision support and risk monitoring platform for mental health at Valuai.io, emphasizing low-latency, evidence-grounded responses and crisis-safe behavior with clinician escalation. Strong production agent-orchestration background (LangChain/CrewAI) plus rigorous evaluation (clinician-in-the-loop + evaluator agent) and large-scale synthetic testing; also applied multi-agent workflows to document verification and fraud detection during an AI internship at Nixacom.”