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Vetted OpenTelemetry Professionals
Pre-screened and vetted.
Senior Full-Stack Engineer specializing in payments and commerce platforms
Executive Technology Leader specializing in Cloud, Data Platforms, and AI/ML
Senior Full-Stack Software Engineer specializing in cloud-native microservices
Staff Full-Stack & AI Engineer specializing in LLM platforms and scalable cloud systems
Mid-level Full-Stack Developer specializing in cloud-native microservices
Senior Software Engineer specializing in cloud platforms, data pipelines, and ML
Director-level Backend & Data Engineering Leader specializing in AWS serverless platforms
Senior Full-Stack Software Engineer specializing in cloud-native microservices and AI platforms
Staff Software Engineer specializing in commerce, checkout, and payments platforms
Staff Full-Stack Engineer specializing in data engineering and real-time event platforms
Senior Full-Stack Engineer specializing in cloud platforms, AI/ML, and blockchain
Senior Software Engineer specializing in cloud-native microservices and observability
Mid-level Full-Stack Java Engineer specializing in scalable microservices and real-time data systems
Senior Full-Stack Engineer specializing in cloud-native .NET microservices
Mid-level AI/ML Engineer specializing in LLM fine-tuning and RAG systems
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and GPU-accelerated cloud systems
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.”
YAKKALI PAVAN
Mid-level Machine Learning & Generative AI Engineer specializing in NLP, CV, and RAG systems
“Built and deployed a production LLM-powered RAG document intelligence system used by non-technical enterprise stakeholders, cutting document search time by 40%+ while improving answer consistency. Demonstrates strong MLOps/data workflow orchestration (Airflow, AWS Step Functions, managed schedulers across GCP/Azure) and a metrics-driven approach to reliability, evaluation, and cost/latency optimization with guardrails and observability.”
Chandra sai kiran Kammari
Mid-level Machine Learning Engineer specializing in fraud detection and real-time personalization
“ML/LLM engineer with Stripe and Adobe experience who productionized a transformer-based Payments Foundation Model for real-time fraud detection at global scale (billions of transactions). Built petabyte-scale ETL/feature pipelines (Spark/EMR, Airflow, dbt, Kafka/Flink) and achieved <100ms multi-region inference (EKS, TorchServe, edge/Lambda, GPU/CPU routing) with strong PCI-DSS/GDPR compliance and explainability (SHAP/LIME), reporting a 64% fraud accuracy improvement.”
Senior Full-Stack Software Engineer specializing in SaaS, cloud-native systems, and AI/ML