Vetted Software Development Professionals

“Frontend engineer with strong depth in React/TypeScript map-heavy applications, including geocoded CSV workflows, Google Maps integrations, and large-scale record management tools. Stands out for diagnosing tricky production issues involving rendering race conditions, stale state, and frontend/backend contract mismatches, then refactoring toward scalable, maintainable architectures.”

Amrit Srivastava

Screened ReferencesStrong rec.

Junior Software Engineer specializing in robotics simulation and machine learning

3y exp

“Undergraduate AI/robotics research assistant who built a city-scale robotics simulation stack for embodied question answering, including JSON-driven environment generation and a ROS 2 pipeline bridging Isaac Sim sensors (CV/LiDAR) to external ML/RL algorithms. Also created and deployed an open-source library workflow tool adopted across multiple local libraries, using GitHub Actions CI/CD for signed releases and automated updates.”

“Unity/C# AR developer who built a Pokemon Go-like location-based gameplay system end-to-end, spanning backend geospatial filtering (bounding box + Haversine), native iOS location/heading plugins, and Unity AR/UI/spawn logic, with a strong focus on real-world reliability issues like GPS drift. Also prototyped an AI pipeline combining on-device Core ML image segmentation with cloud-hosted PiFU HD (Docker/Kubernetes on GCP with GPU provisioning), ultimately shelving it due to cost/latency and model reliability constraints.”

Carlotta Island

Screened ReferencesStrong rec.

Junior Frontend Engineer specializing in React and FinTech web applications

3y exp

“Developer who uses AI as a practical collaborator rather than a crutch, pairing tools like Claude with console logging, testing, and hands-on validation. They emphasize understanding code, data flow, and architecture while staying current by building projects and following AI and engineering communities.”

“Built a production AI-native internal onboarding feature that reduced manual product setup effort by combining barcode API data, product photos, structured LLM outputs, and a polished real-time camera UI. Demonstrates hands-on experience across the full stack of LLM systems: prompt/schema design, multimodal inputs, backend orchestration with SQS and vector retrieval, and production reliability through evals, telemetry, and drift monitoring.”

Timothy Flechtner

Screened ReferencesStrong rec.

Executive Technology & Product Leader specializing in games, platforms, and real-time systems

23y exp

“Engineering leader with gaming and fintech/trading-firm experience who built a sponsor-funded gaming rewards platform (AmEx-style) requiring integrations across Steam/Epic/Xbox/PlayStation and Discord. Emphasizes production-grade, 12-factor delivery with Terraform/Docker/CI/CD and automated testing, plus pragmatic org scaling and remote-team culture built on aligned autonomy and trust.”

Ron Buchanan

Screened ReferencesStrong rec.

Executive technology leader specializing in cloud architecture and Healthcare IT

Summerville, SC20y exp

“Startup-focused builder currently developing a values-driven multi-platform mobile app in beta. Previously led a major technical turnaround at Lucina Analytics, taking the product from 0-to-1 and rebuilding it into an enterprise Azure-based SaaS platform that contributed to its acquisition by Unified Women's Health.”

Kris Wen

Screened ReferencesModerate rec.

Mid-level Software Engineer specializing in AdTech and AI-enabled web engineering

San Francisco Bay Area, CA4y exp

“Software engineer at American Express who built a zero-to-one first-party cookie tracking architecture as the industry moved away from third-party cookies, combining frontend, backend, CI/CD, and AI-assisted QA automation. Particularly strong in developer tooling and workflow automation, with measurable impact including 70% less manual QA, 8+ critical errors caught pre-production, and PR cycles reduced from 48 hours to under 8.”

“Full-stack engineer with strong Next.js App Router/TypeScript experience who built production dataset search/filtering and data-heavy dashboards backed by Postgres. Demonstrates hands-on performance work across the stack (EXPLAIN ANALYZE, composite indexes, caching, React profiling/memoization) and has built durable, Temporal-like orchestrated data-processing workflows with idempotency and retry strategies in an early-stage startup environment (Gaia AI).”

Shane Weinstock

Screened

Senior Data Scientist & Product Analytics Leader specializing in ML and experimentation

Austin, TX17y exp

“Aspiring founder with ~15 years of experience across varied backgrounds, motivated by frustration with slow, change-resistant large organizations and a desire to bring innovative ideas to market. Familiar with how venture capital/accelerators function (though not directly worked in them) and expresses strong willingness to take entrepreneurial risks.”