Pre-screened and vetted.
Mid-level Data Engineer specializing in financial data engineering and scalable pipelines
Senior Full-Stack Developer specializing in cloud-native microservices (AWS)
Senior Data Scientist specializing in healthcare analytics and scalable ML pipelines
Senior Business Systems Analyst specializing in FinTech, insurance, and data analytics
Mid-level GenAI/ML Engineer specializing in LLMs, RAG, and agentic AI
Executive engineering leader specializing in AI, FinTech, and cloud platforms
Mid-Level Software Engineer specializing in distributed systems and GenAI
“Capgemini engineer with 4+ years building and deploying high-availability, low-latency fraud detection APIs and multi-cluster distributed systems for a Fortune 20 bank, including zero-downtime production rollouts and multi-layer (SQL/network/hardware) performance debugging. Also built a Python + OpenAI/LangChain LLM-powered grading workflow for Austin School for Women, cutting feedback time from 90 minutes to 5 minutes per submission for 200+ learners.”
Executive technology leader specializing in big data, AI/ML, and SaaS platforms
“Hands-on IT/engineering executive who has led high-impact architecture changes and compliance-driven data systems. Notably built an internally developed columnar database at Troparé (with dual-support UI for legacy/new DBs) and shipped an MVP in 3–4 months with dramatic performance improvements, and previously delivered PCI/opt-out compliant deletion workflows while addressing DB performance and migrations.”
Executive technology leader specializing in healthcare IT, cloud, and cybersecurity
“Current CTO of an analytics company in the eye industry that was acquired by a larger organization, and now exploring building a new analytics platform for individual provider offices. Focused on helping practices grow revenue and improve the patient journey to drive long-term retention, with entrepreneurial motivation tied to building a legacy business for their family.”
Director-level Product Leader specializing in AI, data, and customer engagement SaaS
“Senior product leader at Airship driving both major platform modernization and the company's AI transformation. They led a contact-centric rebuild touching nearly the entire customer engagement platform, then built an AI recommendations product on Vertex/Gemini with a design-partner rollout model. They also bring rare depth across analytics, experimentation, personalization, and email marketing, plus experience rebuilding PM teams and shaping product strategy with executive leadership.”
Director of Product Management specializing in FinTech and financial data platforms
“Product leader in financial services who has built both customer-facing and internal AI-enabled products, including an award-nominated retirement plan platform that drove submissions from 40% to 98% in good order and unlocked a $10M revenue stream. Also built product process and team structure from the ground up at Consero, with experience applying AI/LLMs to workflow automation and reporting in complex, data-heavy environments.”
Senior business analytics consultant specializing in pricing and go-to-market strategy
“Consultant with an unusual blend of federal contracting, cybersecurity engagement leadership, and PE-backed commercial strategy work. Completed a Master's in Business Analytics while working full time, then drove analytically intensive pricing and go-to-market projects at Blue Ridge, including a tax software engagement with $13-27M projected first-year impact and a self-identified $3-4M opportunity.”
Junior Full-Stack Software Engineer specializing in web apps and developer tools
“Frontend engineer who built the full frontend for gameofstreaks.com using React/Next.js with an emphasis on responsive design, accessibility, SEO, and performance profiling. Has experience refactoring legacy HTML/CSS/JS sites into reusable React components and shipping quickly with unit tests, CI/CD, and branch-based deployments; also collaborates with designers in hackathon settings (e.g., an AI interview practice app).”
Mid-Level Software Engineer specializing in cloud data platforms and FinTech payments
“Backend engineer focused on financial systems, having evolved payments and reconciliation platforms using Python/FastAPI and PostgreSQL with an emphasis on idempotency, validation, and consistency. Has led monolith-to-services migrations using feature flags and shadow traffic, and implements defense-in-depth security (OAuth2/JWT plus DB-level row security) for multi-tenant environments.”
Senior Full-Stack AI Engineer specializing in enterprise workflow and LLM systems
“Cheryl Fernandez is a frontend/platform engineering leader who has built complex real-time products in highly regulated healthcare and enterprise investigation environments. She combines deep React/TypeScript and streaming architecture expertise with cross-functional ownership across APIs, infrastructure, device behavior, and product strategy, including modernizing FDA-audited remote patient monitoring systems and adding AI-assisted workflows at EY.”
Senior Technical Product Manager specializing in data instrumentation and analytics platforms
“Technical Product Manager with hands-on experience shipping and running live free-to-play games (including Cartoon Network BMX Champions) across web and mobile, with exposure to Roblox and some console. Focuses on data-driven live ops—daily rewards, streaks, push notifications, and limited-time events—paired with A/B testing and funnel/retention analytics to improve engagement and IAP performance.”
Mid-level Backend Software Engineer specializing in Spring Boot, microservices, and cloud-native AI
“Backend engineer with experience modernizing a large-scale procurement platform at Jio Platforms by breaking a monolith serving 35 business units into Spring Boot microservices, improving uptime and cutting report latency ~30%. Also built high-concurrency FastAPI systems (200ms at ~500 concurrent users) with strong security (JWT/OAuth2/RBAC), event-driven Kafka integrations, and reliability patterns like exactly-once delivery for ~1M monthly triggers.”
Engineering Manager specializing in enterprise SaaS, cloud architecture, and AI/ML
“Senior engineering manager who stays hands-on (~50/50) while leading teams through design reviews, code reviews, and production issue triage. Shipped scalable platform features (notifications, user action tracking via microservices) with strong quality/performance practices (TDD, high-load testing). Owned a complex cross-system SSO/IdP incident end-to-end, identifying a SameSite+iFrame root cause and delivering a configurable product fix plus support documentation.”
Mid-level Product Owner / Application Developer specializing in supply chain ERP and agentic AI platforms
“Architect/product owner/lead developer who built high-scale ERP supply chain and inventory transaction capabilities (including order-to-order pegging) with strong performance tuning in Postgres and robust monitoring/reprocessing dashboards. Also led product for an enterprise agentic development platform using LLM integrations to generate user stories, data models, workflows, and RBAC-secured applications, with sandboxing and promotion guardrails plus UAT across technical and non-technical personas.”
Senior Full-Stack & AI Engineer specializing in LLM integrations and cloud-native systems
“Backend/data engineer with hands-on production experience building FastAPI Python APIs and AWS-native platforms (Lambda/API Gateway, SQS, ECS Fargate) with Terraform + GitHub Actions CI/CD and strong reliability practices (JWT/RBAC, retries/timeouts, structured errors/logging). Also built AWS Glue ETL pipelines (S3/RDS to curated S3/Athena) with schema evolution and data quality controls, modernized legacy processing via parallel-run validation and phased cutovers, and has demonstrated SQL tuning impact (seconds to <200ms) plus incident ownership for batch pipeline SLAs.”
Mid-level Full-Stack Software Engineer specializing in web, cloud, and AI/ML
“Software engineer with experience at Wipro and Tylmen Tech owning customer-facing onboarding and real-time features end-to-end (React + Spring Boot) and building TypeScript/React apps backed by Node.js microservices (MongoDB, RabbitMQ). Strong in production reliability and fast iteration: feature-flagged rollouts, idempotent APIs/consumers, DLQs, and SLO-driven incident tooling, including an internal QA & release dashboard adopted by engineering and support teams.”