Vetted ChatGPT Professionals

Rahul Setia

Screened

Director-level Growth Marketing leader specializing in full-funnel acquisition and lifecycle optimization

Calgary, AB11y exp

“Growth and partnerships professional with experience across fintech (SMB loans) and edtech (ByteLearn), combining SEO-led content ecosystems and performance marketing experimentation with rigorous lead-quality verification. Has closed white-label partnerships in the dental industry and built creator/referral incentive programs, consistently tying initiatives to funnel metrics like leads, MQL/SQL, activations, LTV, and ROAS.”

Cia Hang

Screened

Executive IT and Operations leader specializing in digital transformation and security

Chicago, IL13y exp

“Candidate is very familiar with the venture capital and broader investment landscape, but is not interested in founding a company. They have worked with several TPG-backed or TPG-owned organizations, helping drive business scaling, cost reduction, and execution against investor governance requirements.”

“HRBP leader in a startup environment with experience supporting global teams and driving org change through structured communication and ADKAR-based change management. Built an analytics-focused function to mature data-driven decision-making, and created a role expectations playbook that later shaped onboarding and reduced role-related performance issues for newly promoted senior staff.”

“Analytics professional with hands-on experience in supply chain and logistics transformation, including enterprise data preparation in SQL, Python automation, and Power BI reporting. They highlight ownership of end-to-end digitization work at Blue Dart, where they defined operational metrics, aligned cross-functional stakeholders, and delivered measurable gains in transparency, reporting efficiency, and implementation quality.”

kartikeya tiwari

Screened

Senior Software Engineer specializing in AI systems and platform engineering

Bangalore, India6y exp

“Backend/AI engineer with experience owning production systems in fintech and product startups, including a predictive scaling platform that cut AWS spend by 40% and an ambiguous social-intelligence feature that doubled MRR from $50K to $100K. Also building AI search and document-processing workflows, with reported 99.7% extraction accuracy and hands-on use of both classical forecasting and modern LLM stacks.”

“Junior developer with over a year of experience who is already applying AI-assisted engineering practices in production, including GitHub Copilot, ChatGPT, SonarQube, and OpenAI-based workflows. On a Citibank public portal built with .NET 8 and Angular, they used AI tooling plus CI/CD quality gates to speed delivery and reportedly reduce post-deployment bugs by 30-40% while maintaining strict security and compliance standards.”

Deandra House

Screened

Director-level Talent Acquisition leader specializing in global recruiting operations

Plano, Texas19y exp

“Talent/Recruiting Operations leader who has managed 6–20 person TA Ops teams and led a global "Recruiting 2.0" transformation standardizing intake and structured interviews, automating screening/scheduling, and building Power BI funnel dashboards. Delivered measurable impact including ~30% time-to-fill reduction and improved candidate/hiring manager experience, and has hands-on systems implementation experience across Workday Recruiting, SuccessFactors, Eightfold, DocuSign, and background check integrations.”

“Healthcare analytics professional with TCS/Humana experience turning messy claims and eligibility data into reliable reporting assets using SQL and Python. They combine strong data engineering and analytics execution with stakeholder management, including automating monthly claims reporting from half a day to under 5 minutes and driving a provider outreach effort that reduced claim rejection rates by about 20%.”

“Software engineer who recently shipped an authentication and role-based access feature for a web app, using AI selectively for boilerplate, debugging, and test suggestions while retaining ownership of architecture, security, testing, and final review. Stands out for a disciplined, security-first approach to AI-assisted development and a pragmatic preference for lightweight API-driven solutions over unnecessary framework complexity.”

“Full-stack engineer with financial services experience (Lincoln Financial) who owned a customer-facing financial portal end-to-end using TypeScript/React and Node/Express. Has hands-on microservices and RabbitMQ event-driven workflows, addressing scale issues like retries/duplicates with idempotency and traceable logging, and built an internal real-time ops/support dashboard to improve monitoring and incident response.”

“Backend engineer who built an AI-driven "Smart Feedback Analyzer" API (Flask → FastAPI) that processes user feedback with NLP (Hugging Face + OpenAI) and returns structured insights. Demonstrates strong production-minded architecture: stateless services, Cloud Run + Docker deployment, Redis/Celery background processing, and Postgres/SQLAlchemy performance tuning (EXPLAIN ANALYZE, indexing, N+1 fixes), plus multi-tenant data isolation via JWT/API-key derived tenant IDs.”

“Built from scratch a social media analytics MVP featuring an LLM-powered semantic search agent that became a core part of the product experience within a 6-week deadline. Stands out for focusing on production readiness early—retrieval-first design, explicit tool constraints, structured outputs, idempotent services, and practical eval/monitoring loops rather than demo-only AI.”

Amit Verma

Screened

Mid-level Java Full-Stack Engineer specializing in healthcare and enterprise microservices

Birmingham, AL6y exp

“Developer who actively integrates AI tools like Copilot, ChatGPT, and Cursor into day-to-day coding, testing, debugging, and framework learning to improve delivery speed. They also organize multi-agent workflows across code generation, review, testing, and documentation while retaining final ownership of quality and architecture decisions.”

Kuwarpreet Singh

Screened

Junior ML and Full-Stack Engineer specializing in AI/ML applications

Buffalo, NY3y exp

“Master's-trained candidate with an AI/ML specialization who combines hands-on machine learning project work with practical AI-assisted software development. They actively use Claude, ChatGPT, and Claude Code for debugging, API integration, multi-file refactoring, and end-to-end feature scaffolding, while emphasizing validation against official docs before shipping.”

“Unity game developer who built a quest system for a Hearthstone-like card game where completing quests upgrades and expands card abilities, increasing build flexibility and improving player experience. Has general networking experience via socket servers and HTTP requests, and uses Cursor/ChatGPT to accelerate animation work while keeping core logic and code quality under manual control.”

Subhash Nair

Screened

Senior Talent Acquisition Specialist specializing in IT recruiting and AI-assisted sourcing

Dallas, TX15y exp

“Recruiting operations lead with 6 years supporting Capgemini/Capco-style client hiring, owning end-to-end workflows in Greenhouse. Implemented a technical pre-screen coding round and integrated HackerRank with the ATS to dramatically increase interview throughput and improve candidate quality, contributing to high-volume placements for Freddie Mac and closing a 20-role surge across BA/PM and engineering roles.”

Okiror Erasmus Mugadya

Screened

Entry-Level Unity Developer specializing in XR/VR simulations

Remote

“Unity developer with hands-on experience building a mixed reality game prototype for Meta Quest in a bootcamp and a self-directed car driving simulation featuring multi-environment/weather scenarios and UI driving guidance. Demonstrated practical problem-solving by fixing AI vehicle navigation issues through a custom C# pathing approach, and uses ChatGPT to speed up routine coding work.”