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Vetted Team Leads
Pre-screened and vetted.
Kanaka Chalam Volety
Staff DevOps/SRE Engineer specializing in AWS, Kubernetes, and GitOps
“Infrastructure-focused engineer with Vonage experience modernizing early-stage cloud architecture (Terraform modularization, blue-green deployments, containerization, and zero-downtime database migration planning to Aurora). Also built a local end-to-end side project, Vastu AI, combining a custom-trained YOLO model (Roboflow-labeled data) with a locally hosted LLM via Ollama to generate a vastu compliance report from floor-plan images.”
Intern Robotics Software Engineer specializing in ROS2 and embedded robotics
Junior Robotics Engineer specializing in autonomous navigation and perception
Senior Software Engineer specializing in AI/ML, cloud microservices, and full-stack web apps
Senior Recruiter & Talent Acquisition Partner specializing in high-volume retail and beauty hiring
Senior Operations & Policy Leader specializing in Trust & Safety and global creator support
Director-level University Recruiting & Early Career Programs Leader (Global)
Senior Full-Stack Engineer specializing in SaaS platforms and AI integration
Senior Cloud Platform Engineer specializing in AWS/GCP data platforms
Executive AI & Cloud Architect specializing in LLM systems, agentic AI, and low-latency trading
Director-level Business Development & Product Marketing leader in FinTech/Crypto and SaaS
Carl Kibler
Executive engineering leader specializing in AI and Healthcare IT
“Senior technical leader pursuing CTO roles who combines deep engineering breadth with strong product instincts and direct investor-facing startup experience. Has represented engineering, security, and IT in diligence processes, built investor-prep materials, and thinks strategically about AI-forward products, pivots, and market fit without falling into hype.”
Mikeal Day
Executive Engineering Leader specializing in SaaS, FinTech, and AI
“Startup-oriented product/technology leader targeting CTO roles, with experience evaluating and scoping high-impact product expansions. At Crelate, helped assess and shape a contract timekeeping/invoicing initiative that expanded TAM by hundreds of millions and increased ACV 2-3x, contributing to successful market traction and the company’s path to Series C.”
Zhilang Gui
Junior Solutions Engineer / Full-Stack Engineer specializing in AI-native SaaS and APIs
“Worked at easybee ai building a production-grade "voice of the customer" LLM intake agent, hardening a fragile sandbox prototype with JSON-schema constrained outputs, Python/FastAPI validation middleware, and automated retries. Strong in real-time debugging of agentic workflows (snapshot isolation, modular tracing) and in implementing safety/compliance guardrails like a content-moderation middleware to support enterprise adoption.”
Mid-level Technical Account Manager specializing in Healthcare IT (EHR) and inpatient pharmacy
Mid-level Robotics & AI Engineer specializing in Reinforcement Learning and Sim-to-Real
Director-level Biostatistics & Data Science leader specializing in clinical trials and RWE
Mid-level Full-Stack Engineer specializing in AI and enterprise software
Executive Engineering Leader specializing in cloud-native platforms, APIs, and DevEx
Sanjay Mamani
Executive Technology Leader specializing in enterprise data, AI, and cloud analytics
“25-year builder/operator who has scaled others' visions and led VC-backed startup incubation work (Saltmines). Built Bridgetree’s AI CoE from 0 to 1 and cites $20M+ measurable customer impact, with experience leading 110-person cross-disciplinary teams. Exploring a new venture idea (gotAgentic.ai) focused on agentic AI solutions such as AI-ready data prep, agentic SDLC teams, and front-office automation (scheduling/invoicing).”
Christina Darstbanian
Mid-level DevOps & Cybersecurity Software Developer specializing in IAM/CIAM automation
“Frontend engineer who led the end-to-end UI for an internal employee catalog tool at Genetec, building React/TypeScript dashboards with complex search filters. Emphasizes tight product-owner feedback loops (weekly demos), Figma-based design alignment, and disciplined delivery practices using CI/CD, automated tests, and version tagging for rollouts/reverts.”