Vetted TypeScript Professionals

“AI/back-end engineer at Canon who helped build and operate an internal production LLM platform that acts as a secure middle layer between users and models, defending against jailbreaks/prompt injection while enabling RAG, memory, and grounded responses over company data. Experienced with LangChain/LangGraph orchestration, vector DB retrieval, and reliability practices (testing, monitoring, adversarial prompts) to run high-throughput, low-latency AI workflows in production.”

“Built and deployed LLM-powered features for a startup organizational management application, focusing on real-world deployment constraints like latency and cost. Implemented RAG with FAISS and improved retrieval quality by switching embedding models (OpenAI/Hugging Face) and fine-tuning embeddings on medical corpora for a medical-report UI feature. Uses LangChain and LangGraph to orchestrate multi-node LLM API workflows and evaluates systems with metrics like latency, cost per request, and error taxonomy.”

“XR professional with 9 years in the industry and 3 years using Unity; built a solo Unity city-building/resource management game (BLEAK) inspired by Anno in a dystopian cyberpunk setting. Has shipped web-based XR experiences (not Unity headset titles) and emphasizes pragmatic scope control and production adaptability, honed further during time at Zappar.”

“Frontend engineer who led end-to-end delivery and scaling of an internal HR product (Easy Time), owning architecture decisions (React/TypeScript, Redux Toolkit, Tailwind/shadcn). Experienced building complex dashboard UIs with advanced filters and real-time interactions, collaborating directly with design (Figma) and shipping quickly via incremental delivery and GitLab CI-driven deployments.”

“Frontend engineer experienced leading client-facing portals (including WebGL integrations) and admin panels, with a strong focus on scalable architecture (monorepo, shared design system/atomic design) and performance. Has built complex React+TypeScript workflows like multi-step user creation with dynamic forms, and ships major features (e.g., video recording) using feature-flagged, trunk-based delivery and E2E testing.”

“Frontend engineer who led end-to-end builds for chauffeur/service platforms (Mychauffeur.com, comfydrive.com), implementing Atomic Design architecture with Next.js, MUI, and Redux. Experienced in building React+TypeScript dashboards, improving performance via SSR migration, and shipping high-risk features like MADA payment integration with Cypress-based QA and Sentry monitoring.”

“ML/NLP practitioner who has delivered production systems in regulated domains, including a healthcare compliance pipeline using RAG (GPT-4/Claude) plus TF-IDF retrieval that increased document review throughput 4.5x. Also has hands-on experience improving fraud detection data quality via entity resolution (Levenshtein, Dedupe.py) validated with A/B testing, and building scalable, monitored workflows with Airflow, CI/CD, and AWS SageMaker.”