Vetted SaaS Professionals

“Cloud consulting veteran building DragnCloud, an agentic cloud infrastructure builder aimed at teams outgrowing Heroku/Supabase who need complex setups (data pipelines, custom LLM hosting, multi-tier apps) without hiring consultants. Has SaaS background and has served as a Fractional CTO for funded companies; currently focused on landing the first 20 customers and expanding automation into higher-value workflows.”

“Backend/data engineer with hands-on production experience building Python (FastAPI/Flask) data enrichment services secured with Okta OAuth2 and monitored via Splunk/Dynatrace. Has delivered AWS event-driven and data-migration solutions (Lambda + Kafka to EKS; Glue from on-prem Oracle to S3/data lake) and modernized Informatica match/merge logic to cloud services using parallel-run parity validation and stakeholder sign-off.”

“Startup-focused engineering leader applying for a CTO role; previously served as founding CTO of a tech startup and held engineering/architecture roles across several others. Evaluates new ventures through market research and market demand, and emphasizes building from the ground up with strong teams (has not personally participated in fundraising).”

“Ops/tech program leader who supported the national rollout of the 988 Suicide & Crisis Lifeline by building an enterprise OKR system and implementing Asana + real-time dashboards across technology, operations, clinical support, and communications. Has led a 15-person team and repeatedly improves executive productivity through pragmatic tool rollouts (HubSpot, SharePoint/Confluence, Slack/Zoom) and lightweight integrations.”

“Operations-focused startup advisor/consultant who builds lightweight, scalable internal systems (ownership mapping, cadences, Notion, OKRs) for early-stage teams. Drove measurable ops impact including a 35% reduction in onboarding time at Securiguard by implementing an automated onboarding platform integrated with HRIS, and is experienced coaching founders through change resistance while maintaining speed.”

“Early-career candidate with customer service experience and a cybersecurity bootcamp background (vulnerability management). Undergraduate project focused on securing online exams during COVID using identity verification (facial recognition + email/phone code) and 360-degree monitoring to reduce cheating, and they navigated student pushback to enforce integrity.”

“CEO & co-founder of Spotlight Creators, a digital platform for visual artists, which they took from idea validation (100 artist interviews) to a live product with 50+ artists and 50+ customers. Drove GTM through hands-on social content across Instagram/YouTube/TikTok, ran local artist spotlight events, and pursued fundraising via cold outreach and acceptance into Launch NY while building skills in pitch decks, financial projections, and ARR modeling.”

“Backend engineer with deep experience modernizing a provider credentialing/compliance platform with multiple upstream/downstream integrations. Focused on building predictable, scalable REST APIs (primarily ASP.NET Core; framework-agnostic approach applicable to FastAPI), improving performance via DB/query optimization, and hardening workflows with idempotency, transactions, feature flags, and strong auth/RBAC patterns.”

“Frontend engineer/product lead with experience building a Tableau-like data visualization dashboard at StradigiAI, including a scalable SQL-like query/filter approach for high-volume data. At LogMeIn/GoTo, migrated a TypeScript React product from Redux to React Query with shared state abstractions across web, Electron, and React Native, and helped leverage a design system to support a rapid company rebrand.”

“Frontend engineer who led end-to-end development of a React-based carbon credits data collection and analysis tool, focusing on scalable architecture and performance (code splitting, SWR caching, memoization, Lighthouse monitoring). Experienced building complex route-driven TypeScript wizards with Redux/Rematch state persistence, and refactoring legacy monolithic UI into reusable, tested, documented components while shipping deadline-driven features using feature flags and tight QA collaboration.”

“Built and deployed a scalable, production-ready LLM knowledge assistant using a RAG architecture (LangChain + vector store/FAISS) to replace keyword search for internal documents. Demonstrates hands-on expertise in hallucination reduction and retrieval quality improvements through semantic chunking, similarity tuning, prompt design, and human-in-the-loop validation, plus strong stakeholder communication via demos and visual explanations.”

“Backend/data engineer with production experience in financial payroll, tax, and compensation platforms, building Python microservices and AWS-based data pipelines for high-volume, peak-driven workloads. Strong reliability focus (OAuth2 auth, retries/timeouts, structured logging, incident response) and proven performance wins, including cutting complex report queries from ~8 minutes to under 30 seconds.”

“Backend/data engineer with hands-on production experience building a real-time notification API on Flask/Celery/Postgres and scaling it on AWS with Docker, Redis queuing, and SQLAlchemy query optimization. Also delivered AWS serverless deployments (Lambda) using Terraform + GitHub Actions and built AWS Glue ETL pipelines from S3 to Redshift with CloudWatch monitoring and DataBrew data quality checks.”

“Backend/data engineer with hands-on production experience across Python/Flask microservices and AWS serverless/data platforms (Lambda, DynamoDB, S3, Glue/PySpark). Demonstrated strong reliability and operations mindset (JWT/RBAC, retries/timeouts/circuit breakers, CloudWatch/SNS alerting) and measurable performance wins (SQL report runtime cut from 10 minutes to 30 seconds). Seeking ~$150k base and cannot travel for onsite meetings for the next 5–6 months due to family medical constraints.”

“Growth-creative/performance creative specialist focused on UGC-led paid social across Meta, TikTok, and YouTube. Uses structured creative testing (e.g., hook/angle matrices) and modular asset systems to iterate quickly; cited a campaign that lifted efficiency (25% CPA improvement, ROAS 1.8x→2.4x) and then scaled spend ~60% while maintaining performance.”