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Vetted Software Engineers in the Raleigh-Durham
Pre-screened and vetted in the Raleigh-Durham.
Senior Software Engineer specializing in frontend architecture and AI-enhanced developer tools
Senior Software Engineer specializing in Python, cloud microservices, and conversational AI
Matthew Allyn
Executive engineering leader specializing in enterprise architecture, cloud, AI, and FinTech
“Engineering leader with experience modernizing e-commerce platforms and leading product strategy for data-driven franchise growth tools. Notable for scaling distributed teams, making pragmatic build-vs-buy and architecture decisions, and delivering measurable business impact including dramatically faster checkout performance and revenue gains.”
Senior QA Engineer specializing in AAA game quality engineering and Unreal Engine validation
Senior Software Engineer specializing in backend systems and FinTech APIs
Puyu Yang
Senior Cloud Platform Engineer specializing in AI infrastructure and distributed systems
“Engineer with hands-on experience shipping production Python integrations and designing for reliability from day one, including idempotency, retries, dead-letter handling, contract checks, and full observability. Also brings web automation experience with Puppeteer and has implemented high-availability failover using load balancer liveness checks, backup environments, and cold standby architecture.”
Mid-level Software Engineer specializing in MLOps, AI infrastructure, and distributed systems
Swagat Adhikary
Junior Software Engineer specializing in LLM agents and FinTech platforms
“AI/LLM engineer with Fidelity Investments experience who built and shipped a production GraphRAG system that augmented prompts with codebase context, improving business analyst efficiency by 15% and saving ~$3.5M annually. Strong in AWS EKS/Kubernetes/Helm and enterprise IAM/OIDC patterns (including cross-account S3 access), with experience mentoring interns and collaborating with non-technical leaders to extend AI pipelines (e.g., adding SQL functionality during MVP).”
Mid-Level Software Engineer specializing in cloud-native microservices and real-time data pipelines
Executive engineering leader specializing in FinTech, payments, and cloud platforms
LaxmiPrasanna Pothureddy
Senior Project/Program Manager specializing in automotive embedded product development
“Automotive embedded product leader (player-coach/product-functional engineering) who helped ship a cybersecurity gateway ECU into production, owning architecture decisions, critical module reviews, and delivery. Demonstrated hands-on security/diagnostics expertise (ADA, RSA) and production defect ownership, plus experience tailoring quality-gate processes to speed variant delivery without sacrificing quality.”
Uma mahesh
Mid-level AI Software Engineer specializing in Generative AI and healthcare automation
“Backend/AI engineer with 5+ years spanning ServiceNow, Cognizant, and GE Healthcare, where they built agentic AI and RAG systems for safety-critical medical device workflows. Particularly compelling for teams needing production LLM systems in regulated environments: they combine cloud deployment and evaluation rigor with HIPAA-aware privacy controls, explainability, and measurable business impact.”
Mid-Level Software Engineer specializing in AWS, data pipelines, and backend systems
Mid-level Full-Stack Engineer specializing in Java, React, and cloud-native systems
Mid-level Full-Stack Developer specializing in Java/Spring and cloud-native microservices
Junior Robotics & ML Engineer specializing in computer vision and transformer models
Mid-level Software Engineer specializing in backend systems and distributed services
Anirudh Indurthi
Mid-level Full-Stack Java Engineer specializing in cloud-native microservices
“Software engineer with strong full-stack and platform experience (TypeScript/React/Node.js) who has built real-time analytics dashboards and microservices using RabbitMQ. Demonstrates production-minded decision-making under launch pressure (manual fallback for payment-impacting third-party API issues) and has delivered internal DevOps tooling that automates compliance checks via GitHub/Jira integrations.”