Vetted Large Language Models (LLMs) Professionals

“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.”

“Analytics and automation candidate with experience delivering data and AI solutions for major public-sector and enterprise clients including STC, Abu Dhabi Ports, and the Ministry of Culture. They combine SQL, Python OCR pipelines, dashboards, and cloud LLMs to turn messy unstructured data into scalable workflows, with reported impact including 70% faster document processing and 80-85% reduction in manual resume screening.”

Reber Ferhat Uluca

Screened

Senior Unity Developer specializing in mobile games and XR (VR/AR)

Den Helder, Netherlands5y exp

“Unity game developer/designer who built the core combat, NPC, and player ability systems for an action game (MonstersVSZombies), including a mechanic where defeated enemies can be recreated as allied versions. Emphasizes modular, generic C#/.NET architecture to scale content quickly, and has hands-on VR optimization experience (mesh/draw call reduction and baking lighting to improve FPS).”

“AI engineer with hands-on experience shipping production systems across semantic search, RAG/LLM applications, and computer vision. Built a personalized e-commerce search platform with measurable relevance and latency gains, and deployed grounded GenAI chat systems that significantly reduced hallucinations while lowering support burden. Also brings edge-deployment experience in monocular depth estimation and 3D reconstruction, suggesting strong breadth across modern applied AI.”

MARCOS FILHO

Screened

Mid AI/Software Engineer specializing in LLMs, agents, and distributed systems

Recife, Brazil3y exp

“Solo builder focused on backend and AI-driven decision-support products, especially around real estate/tower investment use cases in Dubai and Brazil. Describes hands-on work with PostgreSQL, Redis, crawlers, caching, LLMs, embeddings, and agent-style systems, with an emphasis on shipping end-to-end under ambiguous requirements.”

shuntoria reid

Screened ReferencesModerate rec.

Senior AI Trainer and Data Annotator specializing in LLM and computer vision datasets

Greenwood, SC11y exp

“Early-career software engineer with a blended background in technical support, QA, data work, and hands-on web development. Built QA-tracker-style applications and small AI-enabled prototypes using Python, Flask, SQL, JavaScript, and React, with a strong emphasis on testing, debugging, and turning messy requirements into practical user workflows.”

“Backend-focused developer who built LinguaTile (language learning app) on a FastAPI + MongoDB monolith deployed to Google Cloud Run, emphasizing async performance and security (RBAC/JWT, rate limiting, request tracing). Also created Mark-RS, a static HTML generator with a 100% CommonMark-compliant Markdown parser, demonstrating strong edge-case rigor and systems robustness.”