Vetted Workflow Automation Professionals

“Game/tools-focused QA professional with experience at Playable Worlds, Disney, and Metaplace, emphasizing CI-driven quality (Jenkins PR gating, unit tests, Slack/JIRA visibility) in live production environments. Has hands-on defect isolation experience using developer tools to diagnose hard-to-repro player issues and improve turnaround by providing reliable repro steps and clear QA workflows.”

“18-year game/real-time animation veteran with shipped AAA experience (e.g., Just Cause 4) and credits across titles like Borderlands 3, The Outer Worlds, Bloodlines 2, and Disintegration. Has served as Animation Director (Decoy Games), leading internal/external teams and defining gameplay/cinematic style, with deep hands-on expertise in mocap + hand-key pipelines, UE integration, and performance-focused iteration in-engine.”

“Full-stack engineer with hands-on production experience building real-time customer-facing features (order tracking + push notifications) across React/React Native and Node/Spring Boot with Postgres/MySQL. Demonstrates strong reliability patterns (transactional outbox, background workers, idempotent webhook ingestion) and has deployed/operated systems on AWS (ECS/Fargate/ALB, CloudWatch, CodePipeline) with structured observability and environment separation.”

Hleb Rahoisha

Screened

Senior Unity/C# Developer specializing in mobile and VR games

Warsaw, Poland7y exp

“Unity gameplay engineer with hands-on experience spanning AI behavior-tree architecture (Behavior Designer), authoritative multiplayer networking (Photon/Mirror), and aggressive VR (Meta Quest) optimization. Built designer-friendly tooling (Excel-driven balancing, prefab automation bridging Marvelous Designer/Blender/Unity) and has experience mentoring juniors within an entity/HMVC-based architecture at Playtica.”

Harikiran Jangam

Screened

Mid-level AI/ML Engineer specializing in NLP, LLMs, and RAG systems

California, USA3y exp

“Backend engineer who built and evolved a PHI-compliant RAG system (FastAPI + LangChain + embeddings/FAISS) for internal document search and summarization, delivering <400ms p95 latency at ~2,500 daily requests and measurable impact (30% faster investigations, +17% retrieval relevance). Demonstrates strong security and rollout discipline (RBAC/RLS/JWT, redaction/audits, shadow mode, dual writes, canaries) and a focus on reducing hallucination risk via grounded guardrails and confidence-based fallbacks.”

“Software developer with hands-on experience refactoring a legacy .NET CMS into a newer API-driven application (ASP.NET MVC, JavaScript/HTML), including dynamic asset migration and resolving team merge conflicts in Bitbucket. Built automated tests with PyTest and used Postman for API validation, and leveraged Splunk for production issue detection; also worked on an end-to-end ticketing/workflow management project with prioritization and verification steps.”

“M&A business development and deal sourcing professional focused on founder/owner outreach for lower middle-market and middle-market transactions. Describes building proprietary high-volume outbound systems, using intent data and financial screening to identify profitable private companies, and cites generating 15+ qualified $3M+ EBITDA prospects that converted into clients, along with involvement in a $100M+ closed transaction.”

“Analytics professional with hands-on experience building SQL/Python pipelines, customer ID mapping logic, and self-serve BI dashboards across marketing/CRM and regulated aviation reporting environments. Particularly strong in turning messy multi-source data into trusted reporting assets, with repeated claims of major efficiency gains, faster decision-making, and high-confidence stakeholder adoption.”

Jeremy Greenawalt

Screened

Principal AI Engineering Leader specializing in LLM integration and developer workflows

20y exp

“Built and launched a production customer-service LLM agent/MCP system for a large website, enabling reps to search across millions of SKUs and manuals that were previously impractical to navigate manually. They emphasize maintainable AI architecture, staged rollouts, guard-agent evaluation, and multi-agent code review workflows spanning accessibility, performance, and security.”

“Built a production-grade LLM document processing and workflow orchestration platform at CBRE for internal operations teams, handling highly variable long-form documents with a reusable architecture involving 50+ coordinated LLM calls per request. Stands out for treating agentic systems like distributed backend infrastructure, with strong emphasis on evaluation, observability, reliability, and vendor-agnostic orchestration across Bedrock, Vertex AI, and OpenAI.”

Surya Ravula

Screened

Junior Software Engineer specializing in backend systems and AI automation

Hyderabad, India2y exp

“Backend/platform engineer with Boston Scientific experience building secure healthcare integrations, resilient AWS data pipelines, and a production internal LLM support chatbot. Stands out for combining legacy-system modernization, strong reliability practices, and measurable operational impact in regulated healthcare environments.”

Lokesh Jain

Screened

Senior AI/ML Engineer specializing in supply chain and healthcare systems

Bentonville, AR6y exp

“Built and deployed AcademiQ Ai, a production LLM-based teaching assistant using GPT/BERT with RAG (LangChain + Pinecone) to handle large student notes and generate adaptive explanations/quizzes. Demonstrated measurable retrieval-quality gains (18% precision improvement, 22% less irrelevant context) by tuning similarity thresholds and chunking based on user satisfaction signals. Also orchestrated terabyte-scale, real-time demand forecasting pipelines using Airflow and Kubeflow on GCP with strong monitoring, shadow deployment, and feedback-loop practices.”

“Full-stack engineer with hands-on experience spanning React/TypeScript frontend architecture, .NET/Entity Framework backend services, and database optimization. Has owned end-to-end features like payment processing flows and also helped ship a 0→1 AI developer productivity capability, showing a mix of product sense, startup speed, and practical performance engineering.”

Dania Yammout

Screened

Senior CRM and Email Marketing Manager specializing in e-commerce

Newport Beach, CA8y exp

“CRM leader with roughly seven years of experience across fashion and aesthetic pharma/wellness, including building CRM infrastructure during a HubSpot-to-Salesforce transition. They’ve owned Salesforce Marketing Cloud/Data Cloud, launched new SMS and DTC capabilities, supported both B2B and B2C programs, and now manage a small CRM team while remaining deeply hands-on with SQL, segmentation, QA, and performance reporting.”

“Full-stack engineer with recent startup-style experience at SynapOne building enterprise B2B SaaS platforms for compliance and operational review workflows. Stands out for turning ambiguous business problems into production systems, including AI-assisted workflow automation, scalable Go/Python microservices, React/TypeScript interfaces, and PostgreSQL/Elasticsearch-backed platforms used daily by customers.”

Muhammad Ali

Screened

Senior Full-Stack Engineer specializing in cloud-native FinTech and AI systems

Virginia, USA9y exp

“DevOps-focused engineer with 8 years of hands-on experience in early-stage startup environments, working on small teams to modernize CI/CD and Kubernetes deployments. They report reducing release times from hours to minutes, improving reliability and production recovery, and building backend APIs and automation for an internal SaaS platform shaped by security, scale, and compliance requirements.”

“Engineering leader who grew from Lead Developer to CTO at Clips4Sale, scaling the org to around 30 people while restructuring engineering around revenue-driving initiatives like search, payments, reliability, and creator tools. Also built AI-powered event discovery and chatbot systems at FOSH using Claude, combining human feedback, prompt evaluation, and product simplification to improve output quality and user experience.”