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Vetted SEO Professionals
Pre-screened and vetted.
Mid-level Digital Marketing & GTM Strategist specializing in lifecycle automation and performance growth
Mid-level Product Marketing professional specializing in go-to-market strategy and growth
Senior Software Engineer specializing in cloud-native backend systems and data platforms
Senior Marketing Leader specializing in growth, brand strategy, and demand generation
Senior Performance Marketing Manager specializing in paid acquisition and full-funnel growth
Mid-level Digital Marketing Strategist specializing in performance marketing and growth
Executive Finance & Operations Leader specializing in manufacturing and distribution turnarounds
Intern AI/ML Engineer specializing in LLM agents and healthcare data science
Senior Full-Stack Engineer specializing in scalable web platforms and e-commerce
Director-level Marketing Leader specializing in brand strategy and integrated growth marketing
Senior Marketing Manager specializing in brand strategy, GTM, and integrated campaigns
Mid-level Digital Marketing & CRM Specialist specializing in demand generation for B2B SaaS
Junior Full-Stack Software Engineer specializing in AI and web applications
Director-level Content Marketing & Brand Voice leader specializing in multi-channel growth
Senior Marketing Video Producer specializing in social media and brand storytelling
Senior Multimedia & Post-Production Leader specializing in marketing and unscripted content
Senior Front-End Engineer specializing in React/Next.js and secure federal UI/UX
Senior YouTube Channel Manager and Digital Strategist specializing in channel growth and monetization
Director-level Marketing & Brand Lead specializing in Web3 and performance advertising
Mid-market SaaS Account Executive specializing in outbound pipeline generation
Punith Jayaramu
Mid-Level Full-Stack Software Engineer specializing in FinTech and Mortgage systems
“Full-stack engineer with deep AWS serverless and reliability experience in fintech/underwriting systems, including eligibility scoring and dynamic rule deployments. Built and productionized an LLM-powered incident RCA assistant (Bedrock Claude 3 + custom RAG + React) achieving 92% precision and ~75% MTTR reduction, with mature guardrails (evals, drift monitoring, HITL, audit logs) and strong operational rigor (canaries, chaos testing, DLQ remediation).”