Vetted Prompt Engineering Professionals

“Unity/C# gameplay engineer based in Portugal who shipped an AI-driven NPC narrative/quest system for a live mobile RPG, integrating Google Gemini via function-calling with strict JSON schemas to keep a deterministic game loop safe from hallucinations. Emphasizes high-performance engineering (zero per-frame GC, locked 60 FPS) with rigorous PR reviews and profiling gates, plus robust async/network patterns (UniTask, CancellationTokens) and LLM cost control via sliding-window context management. Seeking independent B2B contractor work at $45k–$50k USD/year.”

“Built production-style backend and AI systems across internship and project work, including a real-time sports platform backend and a Smart Email Assistant using GPT-4. Stands out for combining classic backend performance engineering with practical LLM workflow design, including measurable latency improvements, high uptime, and debugging of non-deterministic model behavior.”

Tejaswi devarapalli

Screened

Junior Software Engineer specializing in backend systems and AI infrastructure

Los Angeles, CA2y exp

“Built both a full-stack AWS file-processing pipeline and a production AI document Q&A system ('smart-doc'). Stands out for combining strong cloud engineering with practical LLM/RAG architecture, including hybrid retrieval, reranking, structured outputs, confidence-based retries, and production monitoring.”

“Fullstack engineer with a strong serverless/AWS and applied AI profile, having built document-upload-to-RAG chatbot systems using Bedrock/Titan as well as a production fintech reporting platform. Particularly compelling for teams needing a zero-to-one builder who can own architecture, frontend, backend, and user-informed product delivery; one recent product reached 100+ student users within 48 hours of launch.”

Ethan Martin

Screened

Senior Unity Developer specializing in desktop and XR simulation apps

Remote4y exp

“Unity/C# developer who built and continues to evolve a data-driven product configuration system for complex medical equipment—reverse-engineering undocumented, massive databases and generating 3D configured products with extensive rules—helping users (e.g., hospital sales workflows) save time and support increased sales. Also built an internal LLM-powered debugging assistant using structured Unity/backend telemetry and has hands-on Unity Netcode experience in smaller multiplayer prototypes.”

“Unity/C# developer who led an end-to-end refactor of a Duolingo-style gamified app’s core progression and UI system, redesigning architecture with MVVM/SOLID and event-driven UI updates. Delivered measurable performance improvements (rankings view from sub-35 FPS to ~55–60 FPS) plus draw-call reductions using UI Toolkit and sprite atlases. Also supported Photon-based VR multiplayer (Meta Quest) in an educational accident-simulator, focusing on real-time debugging and sync strategy.”

Toufiq Hasan

Screened

Entry-level Software Engineer specializing in backend and AI integration

New York, NY1y exp

“Built and shipped an LLM-powered crypto price tracking and alert agent in a web environment that scaled to roughly 10,000 users. The candidate emphasizes production reliability, structured outputs, and data normalization, and cites strong product impact including retention growth from 35% to 65% and roughly 95% positive user validation on alert interpretations.”

“Early-career backend developer building an Arc Raiders game-data API end-to-end in Go on AWS with PostgreSQL, making their first real deployment and learning system design hands-on. Also built an AI resume and cover letter generator using Gemini and has experience debugging open-source code and managing PRs in a capstone team project.”

“Outbound-heavy business development and demand gen operator who built scalable, trackable partner-led acquisition in Saudi Arabia—combining physical placements (fuel stations, schools/universities) with QR-to-landing-page funnels and Salesforce attribution. Has negotiated partner contracts with commission structures and driven measurable lead volume (5,000+ qualified leads; thousands tracked via partner channels) while iterating to reduce CPL using testing and keyword/tag refinement.”

KARISHMA PAPPU

Screened

Junior AI/ML Engineer specializing in machine learning and data pipelines

2y exp

“Built and productionized an LLM-based system that summarizes large volumes of unstructured content (customer feedback/internal docs) to reduce manual analysis and surface decision-ready insights. Brings strong reliability practices—prompt/schema constraints, validation checks, orchestration with Airflow/Databricks, and rigorous component + end-to-end testing—plus experience partnering closely with business stakeholders to drive adoption.”

“Hands-on automation and QA-focused developer using AI agents, MCP tools, and LLMs to streamline business workflows. Built agents for automated Jira bug logging, executive summary dashboards, and a rule-explainer that translates technical business rules into plain language for end users, while also supporting Selenium-to-Playwright migration and guiding peers on AI implementation.”

“Software engineer actively using AI-first development workflows, including Cursor, prompt engineering, and multi-agent setups, to dramatically compress development time. Most notably, they say they built a Regression Optimizer product end-to-end from scratch and used multi-agent approaches to improve troubleshooting and response quality.”

“Software engineer using AI heavily in day-to-day development, especially for cross-platform packaging and Bash-heavy workflows. Built a feature to package a Node.js app into Windows and Linux installers/executables, and has hands-on experience validating LLM-generated database reporting through prompt evals and code review.”

“Built and deployed an LLM-powered automation pipeline that ingests voice and documents, transcribes/extracts key information into structured data, and routes it through backend workflows using Python/FastAPI. Uses n8n to orchestrate multi-step AI processes with validation, retries, and monitoring, and iterates with stakeholders via rapid demos to refine changing requirements.”

“Built and shipped a production LLM-powered document processing agent (ingestion→OCR→LLM extraction/classification→validation→DB/workflow triggers) using Kafka and PostgreSQL. Emphasizes production reliability with strict JSON schemas, idempotent services, retries/backoff, fallback models, and human-in-the-loop review—driving ~90% automation, minutes-to-seconds processing, and ~10x throughput.”

Muhammad Midhat

Screened

Senior Full-Stack/Backend Engineer specializing in APIs, distributed systems, and AI integrations

9y exp

“AI/backend engineer who has built and scaled production LLM-powered SaaS features (document assistant + compliance review agent) on a Node.js/TypeScript + Postgres/Redis stack deployed to GCP Kubernetes. Demonstrates strong production reliability chops—async queueing, autoscaling, observability, and database tuning—with quantified wins (p95 latency -60%, query 4s to <200ms) and robust AI guardrails (strict RAG, schema validation, citations, HITL).”

Sarang Pratham

Screened

Junior Software Engineer specializing in data engineering and GenAI

Kundapur, India3y exp

“Built and deployed a production LLM-powered recruitment chatbot that automates key recruiting steps (sourcing, candidate engagement, screening). Strong in agent orchestration with LangGraph, including guided graph-based workflows, context-aware routing, and reliability measures like clarifying steps plus human-in-the-loop evaluation.”

Rahul Jaiswal

Screened

Mid-level Full-Stack Developer specializing in AI-powered SaaS and web platforms

Dimapur, India3y exp

“Full-stack engineer focused on AI-powered products who has independently built end-to-end systems ranging from a food delivery platform with admin/rider workflows and payments to RAG-based LLM apps like a PDF-to-chat book assistant. Particularly interesting for teams building production AI because they speak concretely about retrieval architecture, evals, observability, fallback design, and human-in-the-loop decisions in customer support use cases.”

“Full-stack engineer working on a medical practice SaaS, who owned an end-to-end charge entry module handling patient charges/payment workflows and complex client-side data transformations. Also built a fintech rating platform with real-time WebSocket streaming and TradingView-based charting, and has 10 years of university experience mentoring student "startup" capstone projects under tight deadlines.”

“AI/ML practitioner with production experience building a RAG-powered contextual customer support agent, optimizing for low latency using vector databases and smaller LLMs. Also deployed a fraud detection model on Kubernetes with auto-scaling for heavy transactional loads, and improved chatbot accuracy by 15% through metric-driven testing and evaluation. Partners with Marketing on personalization/recommendation initiatives with measurable outcomes tied to customer feedback.”

“QA/automation tester with experience across Cypress/Playwright/Cucumber and API testing who helped a large team with limited QA bandwidth by automating a previously manual Excel verification workflow using pandas. Reported a critical data-leakage defect and found ~40 issues during an old-to-new UI migration, collaborating regularly with developers/designers to improve product quality.”

Patrick Solis

Screened

Junior Full-Stack Developer specializing in React, Node.js, and Laravel

San Marcos, Nicaragua1y exp

“Frontend-focused engineer who led end-to-end React/TypeScript builds for internal university systems and a complex news-email automation dashboard, emphasizing scalable architecture, RBAC/JWT auth, and robust multi-filter state management. Also improved an existing hackathon app via Redux refactors, lazy loading, responsive/SEO enhancements, and performance gains to 90+ while collaborating closely with design (Figma) and backend teams.”

ALEKSANDR BOIARINTSEV

Screened

Senior Unity Engineer specializing in mobile game development

14y exp

“Unity/C# gameplay engineer with hands-on ownership of AI and multiplayer systems, including a modular ship AI system and a real-time battle flow built with Mirror. Stands out for combining strong gameplay architecture and network debugging with pragmatic AI/LLM-assisted development workflows, plus proven experience collaborating across distributed teams and time zones.”

“Unity-focused game developer with hands-on experience shipping performance-critical mobile, multiplayer, AI-driven, and cross-platform VR/mobile systems. Particularly strong in profiling-led optimization, resilient LLM integration, Photon networking, and adapting shared Unity architectures across Meta Quest and mobile.”