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Vetted Monitoring Professionals
Pre-screened and vetted.
Senior Machine Learning Engineer specializing in MLOps and GenAI platforms
Principal Full-Stack Engineer specializing in AI platforms and enterprise systems
Senior AI/ML Engineer specializing in LLM systems and conversational AI
Senior Backend Software Engineer specializing in FinTech and distributed systems
Senior AI/ML Engineer specializing in ML infrastructure and conversational AI
Senior DevSecOps & Observability Engineer specializing in cloud automation and STIG compliance
Senior Backend Engineer specializing in Python and AWS cloud-native systems
Mid-level Backend Software Engineer specializing in scalable systems and healthcare workflows
Mid-level Full-Stack Developer specializing in microservices and AWS DevOps
Mid-level Software Engineer specializing in cloud API authorization and distributed backend systems
Senior Software Engineer specializing in distributed systems and agentic AI platforms
Mid-Level Software Engineer specializing in cloud-native distributed systems
Director of Engineering specializing in cloud, microservices, and data-intensive platforms
Senior Product Leader specializing in AI, growth, and monetization
Mid-level Platform Engineer specializing in cloud infrastructure and DevOps
Lalithya Manasa Patri
Senior Data Engineer specializing in cloud ETL and real-time streaming pipelines
“Data engineer with eBay experience owning end-to-end pipelines for real-time order and user behavior analytics at 10M+ records/day. Strong in PySpark/SQL transformations, Airflow reliability patterns, and production observability (CloudWatch), with measurable outcomes including improved data quality and 30–40% query performance gains. Also built Python data APIs for analytics/ML consumers with versioning and backward compatibility.”
Travoy Spelling
Senior Data Scientist / ML Engineer specializing in GenAI, LLMs, and NLP
“ML/NLP engineer focused on production GenAI and data linking systems: built a large-scale RAG pipeline over millions of support docs using LangChain/Pinecone and added a LangGraph-based validation layer to cut hallucinations ~40%. Also built scalable PySpark entity resolution (95%+ accuracy) and fine-tuned Sentence-BERT embeddings with contrastive learning for ~30% relevance lift, with strong CI/CD and observability practices (OpenTelemetry, Prometheus/Grafana).”
Anu Baluguri
Mid-Level Software Engineer specializing in cloud-native microservices and event-driven systems
“Full-stack engineer with production experience at Atlassian and Zoho, spanning GraphQL federation, React/TypeScript frontends, and cloud-native AWS/Kubernetes operations. Built and operated a federated GraphQL gateway with Terraform + CI/CD + observability, delivering major latency and integration-time improvements, and also designed high-volume Kafka data pipelines (10M+ events/day) with strong reliability guarantees.”