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Vetted R Professionals
Pre-screened and vetted.
Executive Blockchain Analytics Founder/CEO specializing in institutional-grade data platforms
Intern Software Engineer specializing in Machine Learning and Generative AI
Senior Machine Learning Engineer & Solution Architect specializing in cloud AI systems
Director-level strategy and product leader specializing in healthcare, AI, and GTM
Senior AI/ML Engineer specializing in recommender systems, GenAI, and applied ML
Senior Full-Stack Software Engineer specializing in scalable cloud-native systems
Staff Software Engineer specializing in streaming platforms and media delivery
Junior Machine Learning Engineer specializing in fraud detection and healthcare ML
Senior Software Engineer specializing in AI/ML infrastructure and GenAI
Junior Investment Analyst specializing in private markets (PE/VC) and fund due diligence
Principal Data Scientist specializing in Generative AI and security analytics
Senior Software Engineer specializing in Siri/Maps conversational AI evaluation
Staff Software Engineer specializing in frontend architecture for streaming platforms
Senior Full-Stack Software Engineer specializing in scalable web platforms
Mid-level Site Reliability Engineer specializing in cloud infrastructure and AI-driven reliability
Vishanth Iyer
Senior AI/ML Engineer specializing in LLMs, multimodal AI, and scalable MLOps
“ML/NLP engineer with experience at NVIDIA and Cruise building production-grade AI systems across genomics/biomedical research and autonomous vehicle data. Has delivered multimodal LLM pipelines, large-scale entity resolution, and hybrid semantic search (BERT embeddings + FAISS + Elasticsearch), with measurable impact (≈40% accuracy/retrieval gains; ≈30% data consistency improvement) and strong MLOps practices (Kubernetes, CI/CD, MLflow, Prometheus/Grafana).”
Brian Gomez
Senior Machine Learning Engineer specializing in AI/ML, NLP, and computer vision
“McKinsey & Company ML/NLP practitioner who builds production-grade AI systems across sectors (notably healthcare and finance), including RAG/LLM solutions, entity resolution pipelines, and embedding-powered search with vector databases. Demonstrated measurable impact (40% reduction in data duplication) and strong MLOps/data workflow practices (Airflow, MLflow, Spark, AWS/GCP, Prometheus, CI/CD).”
Deepak Guntreddi
Mid-level Full-Stack Developer specializing in Java/Spring Boot and React
“NVIDIA engineer who built and shipped a production LLM-powered enterprise knowledge system (summarization, transcription, and Q&A) that cut document retrieval time ~30%. Deep hands-on experience with RAG (FAISS/Pinecone), GPU-accelerated microservices on AWS, and reliability/safety practices (Guardrails AI, prompt A/B testing, canary releases) plus strong MLOps orchestration across Airflow, Step Functions, and Kubernetes GitOps.”
Sai Anirudh Kondaveeti
Senior Software Engineer specializing in Azure cloud, identity, and networking
“Backend/cloud engineer with deep Azure and distributed-systems experience: owned an end-to-end Python multi-orchestrator config generator (Contrail) spanning OpenStack/vCenter/OpenShift/Kubernetes via a translation-layer approach. Built GitOps-style ARM-template infrastructure and CI/CD with automated testing, including a zero-downtime Databricks-to-Synapse migration using parallel production validation. Worked on Microsoft Azure Identity gateway (reverse proxy for auth) and executed ring-based deployments for major platform migration.”
Raghavender Vedire
Staff Backend/Distributed Systems Engineer specializing in cloud observability and payments
“Backend/full-stack engineer with experience building large-scale systems on Salesforce and eBay, including a sharded Oracle-backed personalization store used by millions of sellers and a Spring Boot microservice that executes scheduled payouts at high volume. Emphasizes production readiness via state-machine-based idempotency, strong observability (Splunk/Elasticsearch/PagerDuty), and extensive Selenium/Sauce Labs automation.”