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Vetted Datadog Professionals
Pre-screened and vetted.
Senior QA Engineer specializing in web, mobile, and API testing for FinTech
Senior DevOps & Site Reliability Engineer specializing in multi-cloud Kubernetes platforms
Mid-level AI/ML Engineer specializing in LLM agents, search/recommendation, and MLOps
Principal AI Architect & Data Engineer specializing in GenAI, agentic systems, and MLOps
Mid-level Data Engineer specializing in cloud data pipelines and Snowflake warehousing
Senior Full-Stack Java Developer specializing in cloud-native enterprise applications
Mid-level QA Engineer specializing in test automation for SaaS, FinTech, and climate tech
Mid-level Software Engineer specializing in full-stack and AI-enabled platforms
Mid-level Full-Stack Software Engineer specializing in Ruby on Rails and JavaScript SPAs
Senior DevSecOps Engineer specializing in secure CI/CD and cloud compliance
Mid-level Full-Stack Software Engineer specializing in cloud-native microservices and SPAs
Senior DevSecOps Engineer specializing in AWS GovCloud, Kubernetes, and compliance automation
Senior Customer Success & Strategic Account Management leader specializing in AI-driven FinTech SaaS
Vikesh Patel
Senior AI/ML Engineer & Data Scientist specializing in LLMs, RAG, and MLOps
“ML/NLP practitioner who has delivered production systems in regulated domains, including a healthcare compliance pipeline using RAG (GPT-4/Claude) plus TF-IDF retrieval that increased document review throughput 4.5x. Also has hands-on experience improving fraud detection data quality via entity resolution (Levenshtein, Dedupe.py) validated with A/B testing, and building scalable, monitored workflows with Airflow, CI/CD, and AWS SageMaker.”
Gautam Agrawal
Mid-Level Software Engineer specializing in backend systems, cloud, and applied LLM/NLP
“Applied LLMs to classify long nonprofit mission statements into 8 segments without labeled data, using an ensemble of clustering/embedding methods plus zero-shot RoBERTa/BART and a Tree-of-Thought prompting pipeline with LLM-as-judge evaluation (Gemma). Also built LangChain/LlamaIndex agentic RAG workflows including a text-to-SQL data analysis assistant grounded on DB schema with retries and performance optimizations on an HPC cluster.”
Harish Chaurasia
Junior AI/ML Engineer specializing in AI agents and reinforcement learning
“Backend/AI engineer who built Matchable, an end-to-end AI-powered workforce matching platform using FastAPI, transformer-based NLP, PostgreSQL, and AWS, with a strong focus on practical system design tradeoffs. Also brings research-oriented experience from Los Alamos/ASU simulation work and has built multi-agent LLM workflows with schema validation and auditability, suggesting a thoughtful approach to reliability in AI systems.”
Isaac Maupin
Mid-level Full-Stack Engineer specializing in scalable web and mobile applications
“Frontend-leaning full-stack engineer who discusses building production React features integrated with backend APIs, Redux, and Algolia search. Shows strong awareness of maintainability and release safety through TypeScript modeling, feature flags, Sidekiq for async processing, and post-launch monitoring of traffic and pod memory.”