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Vetted Monitoring Professionals
Pre-screened and vetted.
Senior Full-Stack Engineer specializing in AI/ML product engineering
Director-level Engineering Leader specializing in personalization platforms, MLOps, and GenAI
Mid-Level Backend/Infrastructure Engineer specializing in distributed storage systems
Executive engineering leader specializing in cloud, ecommerce, and enterprise platforms
Senior Full-Stack .NET Engineer specializing in cloud-native web applications
Senior Software Engineer specializing in payments, billing, and fraud/risk platforms
Mid-level Software Engineer specializing in full-stack and distributed backend systems
Executive Technology & Resilience Leader specializing in AI, multi-cloud, SRE, and cyber resilience
Executive CTO and serial founder specializing in AI platforms and Financial Services
Staff Software Engineer specializing in secure cloud-native data platforms
Senior Software Engineer specializing in distributed systems and e-commerce platforms
Staff AI Platform Engineer specializing in enterprise SaaS and cloud AI systems
Senior Software Engineer specializing in full-stack systems and telemetry platforms
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and MLOps
Senior Cloud Engineer specializing in AWS/Azure infrastructure, DevOps, and cloud-native platforms
Mid-level Software Engineer specializing in backend and distributed systems
Thazim Banu Shaffee
Engineering Manager specializing in payments, risk, and high-scale distributed systems
“Engineering leader/player-coach on a risk core transaction platform (payments/branded checkout) who led major migrations from a monolithic stack to microservices, including API contract redesign and performance improvements (reported ~500ms latency reduction). Experienced running high-stakes production incidents (upgrade-related outage/degradation) end-to-end with RCA and rollout-process changes, and has accelerated delivery via documentation/tooling (audit sign-off cycle reduced from ~3 sprints to ~1).”
Sai Chandra Bandi
Mid-level AI/ML Engineer specializing in Generative AI, LLM alignment, and RAG
“Built and productionized a real-time enterprise RAG pipeline to improve factual accuracy and reduce LLM hallucinations by grounding responses in constantly changing internal knowledge bases (policies, manuals, FAQs). Experienced in orchestrating end-to-end ML workflows (Airflow/Kubernetes), handling messy multi-format data with schema enforcement (Pydantic/Hydra), and maintaining freshness via streaming incremental embeddings plus batch refresh. Also delivers applied ML solutions with non-technical teams (marketing/CRM) for segmentation and personalized engagement.”