Vetted Backend Development Professionals

“AI engineer with experience taking a GPT-4-powered GenAI career coach toward production on Azure AI Foundry, re-architecting the backend with hybrid (vector + keyword) search and RAG optimizations to cut latency by 50%. Also has client-facing TCS experience building healthcare ETL pipelines and delivering error-free monthly reports, plus current work analyzing agentic system reasoning traces and guardrail drift as an AI research fellow.”

“Full-stack engineer who built and scaled an AI-powered web product (React/Next.js + TypeScript/NestJS) with MongoDB, Redis, and RabbitMQ. Strong in rapid iteration while maintaining production quality—uses versioned APIs, feature flags, CI/CD, and observability (correlation IDs/structured logs) to ship frequently and debug distributed workflows. Also created an internal operations dashboard for real-time visibility and control of background jobs/AI workflows that was adopted quickly by ops and product teams.”

“Data engineer/software engineer who led an end-to-end ETL/ELT pipeline at Pearson processing millions of rows of student data nightly, including client-side data prep/validation, SFTP/API ingestion, staging-based SQL validation/transforms, and production loading. Built reliability features like configurable per-client validation thresholds, detailed reporting, concurrency throttling via a custom queue, and multi-source merge/backfill logic to keep nightly loads running even when sources fail.”

“AI Software Engineer (student employee) at University of Washington IT who helped deploy "Purple," a governed, explainable LLM platform on Azure used by 100,000+ students/faculty/staff. Independently led scalable reliability efforts by building automated agent quality/load/red-team testing and CI/CD health validation (Playwright/Node.js, Azure DevOps), and previously built an explainable AI scheduling assistant for clinical operations at Proliance Surgeons.”

“Backend/platform engineer who has owned a real-time data ingestion/processing/reporting API built with FastAPI, Redis, and Celery, including performance tuning via query/index optimization, caching, and async workers. Strong Kubernetes + CI/CD + GitOps (ArgoCD) experience, plus hands-on monitoring/logging (Prometheus/Grafana/ELK) and a Kafka/Spark real-time streaming project from their master’s program.”

“System-level robotics software engineer with production experience in both ROS 1 and ROS 2 who served as technical owner for an initial ROS1→ROS2 migration, including catkin→ament/colcon and refactoring core communication nodes. Strong in hardware-validated integration work—debugged intermittent message drops by tuning ROS 2 QoS for embedded firmware interfaces and stabilized real-time navigation behavior through timing/telemetry analysis and cross-team coordination.”

“AI/backend engineer who fine-tuned and deployed a production LLM chatbot using a LangChain + FAISS RAG pipeline, improving latency with PEFT/LoRA and driving strong business impact (40% customer adoption; 92% satisfaction). Also served as technical lead on a data aggregation system for underwriting/quoting, introducing GraphQL for more efficient, maintainable querying and applying CDC to keep cached ranking data fresh at scale.”

“Bootstrapped founder/fractional-CTO type building a community-first tooling platform and niche product lab, emphasizing trust and "family" culture. Operates extremely lean by self-hosting open-source LLM tooling locally and leverages a network of senior generalists willing to trade short-term compensation for learning and equity. Has worked across real estate tech, logistics, and hospitality POS and is applying a multi-modal "brain trails" concept to product opportunities.”

“Backend engineer with insurance/claims domain experience who modernized legacy claims processing systems to support AI-assisted claim review. Emphasizes production-ready API design in Python/FastAPI (schemas, async, caching, graceful degradation), strong observability with Prometheus, and layered security including JWT auth plus database row-level security (Supabase/Postgres).”

“Backend Python engineer who built core services for a telecom automation engine monitoring thousands of routers in real time and auto-generating support tickets. As the sole Intelygenz engineer on the project, they diagnosed a costly Terraform/GitLab CI/CD resource-leak issue in AWS and implemented a cleanup redesign that eliminated orphaned resources and reduced client cloud spend. Also shipped applied-AI ticket triage suggestions via API integration and built an end-to-end Gmail-to-ticket ingestion workflow.”

“Backend/data engineer who reports building production Python services (FastAPI + JWT) backed by Postgres and Redis, and modernizing data workflows using AWS Glue + PySpark with S3/RDS. States experience delivering AWS solutions (S3, SES, Cognito) and using golden datasets/snapshot testing for migration parity, with many details withheld due to NDAs. Seeking fully remote work with a $300k base salary expectation.”

“Internship project at Builder Market: built an end-to-end production multimodal LLM application that estimates renovation/replacement costs from appliance photos (CLIP embeddings) or text descriptions, combining fine-tuning with agentic RAG. Focused heavily on real-world performance constraints—latency and cost—using parallel agent workflows, model routing to smaller/open-source models, re-ranking, and retrieval chunking, and collaborated closely with CEO/co-founders to deliver the solution.”

“Game developer who implemented the battle simulation/progression system for "Gladiator Imperium," focusing on turn logic, stat-driven combat, and player-facing feel through UI and camera polish. Also has experience modernizing a 10+ year legacy project by refactoring into new frameworks and even migrating to a different programming language, leveraging AI to interpret undocumented code.”

“Full-stack engineer from seed-stage Violet Labs who owned an end-to-end production "compare push results" feature for external integrations, including solving tricky false-positive success cases by validating against internal entity hashes and confirmed integration events. Experienced building React/TypeScript SPAs with a Node + Postgres backend, deploying via AWS/Kubernetes, and setting up CloudWatch logging/metrics/alarms with SNS paging.”

“Brazil-based tech leader who helped build Bankly’s end-to-end Banking-as-a-Service platform—delivering a plug-and-play solution in 6 months and architecting for ~5k requests/second; Bankly later became the largest BaaS in Brazil. Also runs a closed, personal-capital private trading group focused on automating investment decisions with AI trading bots, but is currently prioritizing international career growth over entrepreneurship.”

“Unity game developer who built a context-sensitive movement and camera system for a grid-based dungeon crawler and used DOTween for key gameplay animations. Worked at Chimera Entertainment on Songs of Silence, contributing via bug fixes, working within an existing Photon Fusion protocol, and implementing a UI-heavy in-game lexicon; also leverages AI tools (e.g., ChatGPT) to accelerate editor/tooling and gameplay scripting.”

“Lead Unity VR developer who shipped multiple Meta Quest Store releases, including porting Titanic VR and building Rollercoaster Legends titles for Quest 3 (with Quest 2 support). Also independently built and released a multiplayer mobile trivia game using PlayFab, P2P networking with host migration, and encrypted/serverless backend updates to reduce hacking.”

“Infrastructure/Platform-focused engineering leader who led a large-scale AWS modernization, standardizing Terraform IaC and embedding security/policy validation into CI/CD to reduce drift and improve auditability. Also delivered data reliability improvements by incrementally migrating key integrations to an event-driven Kafka model with DLQs and lag monitoring, and has hands-on incident leadership using observability tooling (New Relic).”

“Backend/AI engineer in healthcare/insurance (mentions Cigna) who has shipped production systems spanning high-reliability APIs, async job architectures (Celery), and LLM/RAG features. Built an LLM document assistant with Terraform-managed AWS infra, semantic search retrieval, and strict permissioning/audit logs, and designed an automated prior-authorization workflow with human-in-the-loop escalation and compliance-driven thresholds.”

“Software/data engineer who has shipped internal platform features end-to-end, including a widely used CSV export tool with synchronous + async flows on AWS that reduced timeouts and improved database access security. Also built a high-volume pipeline processing 80M+ daily banking transactions for advertiser user categorization, and delivered a production Gemini-powered financial calculator using structured prompting and robust API error handling.”

“Built and operated a real-time student event/party discovery platform with map-based search, RSVP, and authentication using React/TypeScript, Node.js, and Firebase Firestore. Demonstrates strong backend correctness under concurrency (transactions, idempotency, retries/backoff) and solid API product thinking (versioning, Swagger docs, structured errors, cursor pagination), including custom geospatial querying via Haversine filtering.”