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Vetted OpenTelemetry Professionals
Pre-screened and vetted.
Mid-level Software Engineer specializing in observability and AI tooling
Mid-level Software Engineer specializing in cloud-native distributed systems and AI (RAG)
Mid-level Full-Stack Software Engineer specializing in logistics microservices
Senior Full-Stack & AI Engineer specializing in FinTech and Healthcare
Junior Full-Stack Software Engineer specializing in backend, cloud, and AI systems
Mid-level Full-Stack Engineer specializing in SaaS, HR Tech, and distributed backend systems
Mid-level Full-Stack Python Developer specializing in cloud-native web applications
sajda kabir
Junior Software Engineer specializing in AI, voice, and full-stack product engineering
“Product-minded full-stack engineer from SuperU who built AI voice-agent infrastructure end-to-end, from React/TypeScript campaign UIs to a forked n8n orchestration backend and Postgres multi-tenant data model. Stands out for shipping quickly in ambiguous startup environments, debugging deep reliability issues across layers, and delivering measurable gains like activation rising from 20% to 70%+ and call drops falling below 0.5%.”
Haneesh Kapa
Junior AI Full-Stack Engineer specializing in LLM automations and RAG systems
“Built and shipped a production LLM-powered customer support assistant using a Python/FastAPI backend with RAG (embeddings + vector search) over internal docs and product/operational data. Instrumented the system with logging/metrics and ran continuous eval loops; post-launch improvements focused on retrieval quality (chunking/ranking) and performance/cost tradeoffs (query classification, caching, validation guardrails).”
SaiDheerajReddy Gadikota
Mid-level AI Engineer specializing in agentic systems and enterprise LLM platforms
“Current AI engineer at a startup who has spent the last year architecting multi-agent systems for software development workflows. Stands out for combining LLM speed with engineering discipline—using tools like Pydantic, LangGraph, and LangChain to build reliable, production-ready agent workflows with validation, routing, and retry logic.”
Entry-level Software Engineer specializing in full-stack, backend, and cloud development
Junior Software Engineer specializing in full-stack and cloud AI systems
Mid-Level AI/Full-Stack Engineer specializing in conversational AI and SaaS products
Mid-level Full-Stack Software Engineer specializing in AI, data pipelines, and cloud-native apps
Thimone Noupa
Mid-level DevOps Engineer specializing in AWS, Kubernetes, and CI/CD automation
“DevOps/cloud infrastructure engineer focused on AWS automation: built GitHub Actions/Jenkins pipelines for containerized deployments with strong security controls and rollback, and implemented Terraform-based AWS provisioning with modular code and remote state/locking. Has led on-prem to AWS migration cutovers with structured risk/rollback planning and stabilization, but has not worked directly with IBM Power/AIX/LPARs or PowerHA/HACMP.”
Mid-level DevOps Engineer specializing in cloud infrastructure and CI/CD automation
Senior Full-Stack Engineer specializing in Python, data platforms, and cloud systems
Mid-level Full-Stack Developer specializing in Python, React, and cloud-native microservices
Rutvi Rathod
Junior Full-Stack Software Engineer specializing in AI and web applications
“LLM/AI backend engineer with hands-on experience taking customer LLM prototypes into production using FastAPI, containerization, CI/CD, and OpenTelemetry-based observability. Demonstrated measurable impact by cutting LLM costs ~40% and reducing workflow errors ~50% through schema-enforced outputs, better tool definitions, retries, and prompt/model optimization; also supports pre-sales via technical discovery and rapid integration demos.”