Vetted Visual Studio Code Professionals

“IT Analyst/research background with hands-on experience deploying and hardening a multi-agent AI support/triage system (ticket ingestion + knowledge-base retrieval) with strong emphasis on reliability and observability. Has debugged real production issues spanning backend services and network latency (sync failures/partial writes) and is comfortable in Linux environments; also has academic exposure to robotics simulation and ROS2.”

“Full-stack developer who uses AI deliberately rather than blindly, keeping generated code to a minority of core feature work so they retain full understanding of data flow. Built a React/TypeScript + Supabase task management app and shows strong judgment around debugging hallucinated schema/query output, refactoring for maintainability, and prioritizing security and logic over boilerplate speed.”

“Unity developer who has shipped VR games on Meta Quest/Oculus Go and demonstrates strong performance engineering for constrained hardware (multithreading, Unity Job System, Jump Point Search). Has built multiple games largely solo (e.g., Tap & Conquer), handling UI/flow, core gameplay, and save systems, and uses AI to speed up build/test/backup automation via shell scripting.”

Basit Siddiqui

Screened ReferencesStrong rec.

Senior Frontend Lead specializing in ed-tech platforms and gamified learning

Islamabad, Pakistan9y exp

“Frontend lead with ~6 years building edtech platforms (LMS + CMS) using Svelte and React/TypeScript. Manages a 6–7 person team and owns architecture, CI/CD, and production quality practices (error boundaries, crash/downtime alerting). Has hands-on experience improving performance at scale via micro-frontends, lazy loading/code splitting, and virtualization/pagination for heavy UI screens (e.g., Bonzo game platform).”

Katelyn Flores

Screened ReferencesStrong rec.

Mid-level XR Developer specializing in healthcare training simulations

6y exp

“XR Developer II at Orbis Education building multiplayer healthcare training simulations in Unity/C#. Shipped cross-platform experiences on Meta Quest 3 and iPad, including a new oxygen mask/tube simulation system that increased student engagement and learning feedback. Also built a capstone generative-AI patient interaction system replacing IBM Watson with an Ollama-based approach, evaluating cloud vs. self-hosting for latency/cost/reliability.”

“Frontend engineer who leads high-impact refactors and rebuilds end-to-end, including migrating a legacy Next.js frontend to React + Vite and consolidating fragmented styling into a single MUI Joy design system. Has deep experience improving performance and maintainability in complex, data-heavy UIs (orders/financial pages, multi-step editing flows) through modularization, query optimization, and shared context patterns, with strong QA discipline for sensitive financial actions.”

“Unity/C# gameplay engineer with strong systems-level experience shipping and optimizing a mobile 6v6 FPS, including custom pooling, input, networking, and anti-cheat architecture. Stands out for combining deep performance engineering with practical AI-assisted development workflows that helped deliver a prototype in one week, plus end-to-end ownership of a separate web app built for a doctor under a tight deadline.”

“Frontend-focused engineer with full-stack capability (Node/Express + MongoDB/MySQL) who emphasizes scalable quality practices: PR-driven reviews, CI quality gates, and a full testing pyramid (Jest/Vitest, React Testing Library, Cypress/Playwright). Built complex React + TypeScript role-based dashboards/workflows using reusable component architecture and layered state management (React Query/SWR, Context for auth/roles), with strong performance and UX polish (Lighthouse, lazy loading, accessibility, responsive design).”

“Data/ML practitioner who has built a production RAG-based knowledge assistant integrated into Microsoft 365/internal dashboards to help employees query internal documents in plain English. Experienced orchestrating and hardening ETL pipelines with Airflow and Azure Data Factory (validation, retries, monitoring) and running end-to-end model evaluation and production performance tracking via Power BI.”

Gautam Agrawal

Screened

Mid-Level Software Engineer specializing in backend systems, cloud, and applied LLM/NLP

IN, USA4y exp

“Applied LLMs to classify long nonprofit mission statements into 8 segments without labeled data, using an ensemble of clustering/embedding methods plus zero-shot RoBERTa/BART and a Tree-of-Thought prompting pipeline with LLM-as-judge evaluation (Gemma). Also built LangChain/LlamaIndex agentic RAG workflows including a text-to-SQL data analysis assistant grounded on DB schema with retries and performance optimizations on an HPC cluster.”

“Built Python-based data workflow integrations for a Huntsman Cancer Institute research project, focusing on reliable upload, validation, processing, and retrieval of messy research data. Demonstrates strong practical instincts around automation hardening, observability, and translating ambiguous manual processes into structured workflows, including Selenium automation when APIs were unavailable.”