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Vetted R Professionals
Pre-screened and vetted.
Intern-level economist and strategy analyst specializing in econometrics and macroeconomic research
Junior business analytics consultant specializing in data, finance, and performance insights
Intern data and technology analyst specializing in analytics and IT systems
Senior Machine Learning Engineer specializing in AI, NLP, computer vision, and GenAI
Entry-level data analyst specializing in social science and nonprofit analytics
Mid-level Data Engineer specializing in healthcare analytics and AI pipelines
Junior growth and research professional specializing in AI, biotech, and venture
Mid-level finance professional specializing in credit risk and private credit
Senior Software Engineer specializing in embedded systems, simulation, and data science
Junior venture investor and startup operator specializing in consumer tech
Senior Data Engineer specializing in Azure, Databricks, and BI/ETL platforms
Mid-level Data Scientist / ML Engineer specializing in LLMs and predictive analytics
Senior Data Engineer specializing in multi-cloud data platforms and real-time analytics
Senior Data Scientist specializing in healthcare analytics and scalable ML pipelines
Mid-level GenAI/ML Engineer specializing in LLMs, RAG, and agentic AI
Mayank Pratap
Intern Robotics Engineer specializing in autonomous navigation and SLAM
“Robotics software engineer with deep ROS2 Humble/Nav2 experience who built an SDF-based navigation system (RRT* global planning + gradient-based local avoidance) and implemented scan-matching localization. Proven real-time performance debugging and optimization on hardware (Unitree B1), including halving compute-cycle latency and resolving ROS2 jitter/message-drop issues through explicit QoS and executor/callback-group design.”
Manyuvraj Sandhu
Mid-level Full-Stack Developer specializing in Next.js, AI-driven apps, and payments
“Frontend engineer who has led complex React + TypeScript products end-to-end, including a real-time canvas-based digital signature editor and a multi-step AI workflow dashboard. Demonstrates strong architecture and performance instincts (state machines for streaming async updates, bundle/render optimizations) plus pragmatic shipping practices (feature flags, automated tests, analytics and user interviews), with a quantified impact from refactoring (~30% less duplicated UI code).”
Senior Machine Learning Engineer specializing in MLOps and Generative AI
Mid-level AI/ML Developer specializing in FinTech fraud detection and GenAI assistants
Mid-level Data Scientist specializing in financial ML, NLP, and MLOps
Mid-level AI/ML Software Engineer specializing in Generative AI and NLP
Naga Gayatri Bandaru
Mid-level AI/ML Engineer specializing in MLOps and production ML systems
“Backend/ML engineer who has shipped high-scale real-time systems across e-commerce and healthcare: built a PharmEasy real-time recommendation engine for ~2M monthly users (cut feature latency 5 min→30 sec; +15% cross-sell) and architected a HIPAA-compliant multimodal clinical diagnostic workflow (DICOM+EHR) with XAI, MLOps (MLflow/Airflow/K8s), and drift/monitoring guardrails supporting 10k+ daily predictions.”