Vetted CSS Professionals

“Python/Django backend engineer with open-source experience upgrading Archivematica to Django 4.2 LTS, including resolving a tricky breaking change in datetime parsing by implementing a preservation-safe legacy timestamp conversion layer. Also built a cost-efficient, reproducible Small Language Model (Microsoft Phi-3) fine-tuning pipeline that turns CSV product data into a domain-specific searchable Q&A chatbot, with emphasis on memory optimization and overfitting prevention.”

“Full-stack system analyst/programmer at PeakPlay Sports (startup) who built an AI "coach" product end-to-end in ~2 months, using a LangGraph-orchestrated multi-agent architecture with a FastAPI backend. Shipped production RAG grounded in athlete history (OpenAI embeddings + vector store) with guardrails and a structured eval loop (golden set + LLM-judge + human review) to improve engagement and reduce hallucinations.”

“Full-stack developer who owned and shipped an end-to-end web application for LeafNBeyond (React/Node/Postgres), deployed to production at leafnbeyond.com, with reported 35% sales growth and strong UX feedback. Also built Azure-based ETL pipelines using lakehouse/medallion architecture with validation and retry logic, and has AWS fundamentals from a master’s coursework (EC2, RDS, IAM, load balancing).”

“Robotics software contributor from Binghamton University’s drone research lab who built a Dockerized, multithreaded Python control stack integrating Crazyflie firmware for low-latency, real-time coordination of multiple drones. Hands-on with telemetry/command pipelines, profiling and control-loop optimization, and wireless comms using CrazyRadio PA.”

“Robotics software engineer with ROS 2 Humble/Nav2 experience on a warehouse robot fleet, focused on improving throughput in dynamic human environments. Implemented C++ local-planner and velocity-control changes using LiDAR-based motion prediction and real-time costmap tuning under a 20ms control loop, and built a Gazebo digital twin with custom failure-injection plugins plus Docker/Kubernetes deployment tooling.”

“Built a university campus assistant chatbot (BabyJ/WWJ) using RAG and agentic routing with a FastAPI + React stack and JWT auth, focusing heavily on production concerns like latency and reliability. Uses techniques like speculative prefetching, smart intent routing, and rigorous eval/testing (golden sets, regression, edge cases) while collaborating closely with campus admin/advising teams to iterate based on real user feedback.”

“Frontend engineer focused on scalable React + TypeScript dashboards and workflows, using feature-based architecture and a reusable component/hook approach. Has hands-on experience improving performance in table-heavy admin UIs (pagination, lazy loading) and shipping major features quickly with staging/manual QA, gradual rollouts, and rapid iteration based on production feedback.”

“Software engineering intern who built and deployed a full-stack telemedicine platform (React/Node/MongoDB) used daily in a pediatric clinic, incorporating PyTorch-based predictive features. Demonstrated strong customer-facing iteration and production performance debugging—resolved a live slowdown by indexing/optimizing MongoDB queries and adding caching, improving response times by ~50%.”

“Aspiring Console QA candidate with hands-on PlayStation and Nintendo Switch testing instincts developed through deep gaming experience (edge-case inputs, handheld vs docked comparisons, online play smoothness). Has delivered under tight deadlines on a small-team project and has practical experience using internal AI tools to draft test documentation and analyze report/feedback data to identify patterns and prioritize issues.”

“Backend/ML engineer with healthcare domain experience building secure Medicare/Medicaid data APIs and real-time patient risk scoring. Shipped an end-to-end ML pipeline (scikit-learn/XGBoost) served via SageMaker and integrated into Flask APIs, with strong production reliability practices (Kafka schema validation, regression replay, observability, drift monitoring, and human-in-the-loop guardrails).”

“Full-stack engineer at Srasys Inc. who built and owned production payments/checkout for an e-learning platform serving 5,000+ users using Next.js App Router + TypeScript. Deep focus on correctness and reliability (Stripe webhooks, signature validation, DB-level idempotency) plus measurable performance wins (~40% latency reductions) through Postgres indexing/EXPLAIN ANALYZE and Redis-backed caching with CloudWatch monitoring.”

“Built and shipped production AI features in the automotive dealership domain, including an end-to-end computer-vision damage detection system for trade-ins and a tool-calling, RAG-enabled LotSync AI Agent that answers inventory/VIN questions using strict schemas and internal APIs to avoid hallucinations. Also developed a Dagster + Oracle automated reporting pipeline as a Graduate Research Assistant, supporting 15+ university departments with normalized, reliable ETL workflows.”

“Early-career/out-of-college CS candidate with practical backend-adjacent experience in a wine storage business: helped shift client intake from Constant Contact to a website form and supported an internal migration to Storable Edge with Dropbox-based backups. Also has academic experience debugging a custom programming language/type system, catching an edge case that broke type definitions and caused crashes.”

“UX Designer who has shipped end-to-end mobile and web experiences, including a student library companion app integrated with Canvas to reduce navigation friction and overwhelm. Also built information architecture and navigation for a bead e-commerce site (Beadalon) using Miro/WordPress/WooCommerce and validated improvements via analytics. Has experience designing a mental-health journaling companion with guided prompts and sketching based on student interviews and prototype testing.”

“Frontend engineer who led end-to-end delivery of a React/Next.js platform and real-time analytics dashboard at HacknoTech, emphasizing scalable UI architecture and performance. Uses a pragmatic state strategy (React Query for server state, Redux Toolkit for UI state), built shared component libraries with Tailwind, and improved load times by ~40% through code splitting/lazy loading and Lighthouse-driven tuning.”

“Frontend engineer who has led workflow-heavy React/TypeScript products end-to-end, emphasizing feature-based architecture, reusable UI patterns (forms/tables/async states/permissions), and performance optimization for data-dense dashboards. Strong track record of shipping quickly with quality via PR standards, targeted testing, UAT, staged rollouts, and iteration driven by analytics, error reports, and operator feedback.”

“Full-stack engineer (4+ years) with a Master’s in Computer Science who owned end-to-end customer-facing social networking features at NextBits, building TypeScript/React/Next.js + NestJS systems with microservices, RabbitMQ, MongoDB, and Redis. Experienced scaling real-time notifications/messaging/presence to millions of concurrent users with sub-100ms performance targets, zero-downtime CI/CD, and internal tooling for monitoring AI/ML pipelines and queue backlogs.”

“Backend engineer at Hexanika who owned a real-time fraud-detection platform: built Django microservices, integrated a GenAI anomaly-scoring model, and optimized data/infra for low-latency production (including ~40% query-latency reduction). Experienced running containerized services on AWS/GCP with Kubernetes/GKE, GitHub Actions-based CI/CD + GitOps, and building Pub/Sub streaming pipelines and on-prem-to-cloud migrations.”

“Worked on an AI-adjacent search/results product with a React front end and an API-driven backend, focusing on scalability and performance. Emphasizes decoupled JSON API architecture, React rendering optimizations (useMemo/useCallback), and large-dataset techniques like virtualization, plus strong user-issue triage via log analysis and edge-case fixes in query handling/ranking.”

“Backend engineer who built and scaled a FastAPI-based backend for an AI-driven maintenance system automating vendor sourcing/bidding/communication. Emphasizes async, message-driven architecture with strong observability and state-machine-driven workflows, plus robust webhook/idempotency patterns to prevent duplicate/out-of-order events from causing bad bids or state changes.”

“QA/production specialist operating in VFX-style pipelines with game-like iteration cadence; owned and kept an on-set, in-camera UI screen animation package stable and camera-ready throughout filming on Alien: Romulus in Hungary. Uses Nuke-based node QC setups plus ShotGrid/NIM-driven traceability and risk-first triage to drive fast fixes under tight, high-visibility production timelines.”

“Backend engineer building an AI-powered social media platform on AWS, with hands-on experience shipping LLM-backed application features and improving production performance under high traffic. Strong focus on reliability/observability (CloudWatch, structured logs, health checks) and database optimization (MongoDB explain/slow logs, indexing, caching, connection pooling).”

“Frontend engineer who led an enterprise Vue 3 product end-to-end with a feature-based architecture and Pinia state management, with a strong emphasis on accessibility at scale. Created and published an accessibility library (vue-a11y-directives) used in a production front-desk app (Hotelkeyapp) and by other developers via npm.”

“Full-stack engineer with deep startup experience (pre-seed through IPO/SPAC) currently building a Next.js/TypeScript SaaS sports analytics platform with a complex Postgres-based entitlement/ACL system. Has delivered measurable UX/business impact (35% retention lift, 40% volume increase) and built production-grade daily ETL + model training/inference workflows with validation and checkpointing for reliability.”