Vetted Amazon S3 Professionals

“Cloud infrastructure and security-focused candidate with hands-on AWS experience (Terraform for EC2/VPC, AMI copies across regions) and CI/CD exposure (Jenkins/Git/Docker, AWS CodePipeline). Has practical production troubleshooting experience around performance/monitoring and produces RCAs, but does not have direct IBM Power/AIX/PowerHA migration experience.”

“Unity AR/VR developer with experience delivering multiple projects using Vuforia, Unity AR Foundation, and Niantic Lightship, including VR terrain generation from GIS data learned and implemented on a tight timeline. Built a personal Unity "LLM testing tool" integrating ChatGPT, Gemini, Claude, Mistral, and DeepSeek into NPC characters with customizable multi-party conversation behavior for comparative evaluation.”

“Backend engineer who built and evolved a low-latency document search platform (C++/gRPC on Kubernetes with a vector database), emphasizing resilience under concurrent load through strict deadlines, retries, idempotency, and observability. Also experienced building secure, frontend-friendly FastAPI services (Pydantic + JWT) and executing safe incremental refactors using feature flags and parallel validation.”

Richa Chanpuriya

Screened

Mid-level Backend/Agentic AI Engineer specializing in GenAI automation and RAG systems

Remote, India3y exp

“Built and shipped a production AI-driven privacy automation system that autonomously navigates data broker sites to submit opt-out/data deletion requests end-to-end, including robust CAPTCHA detection/solving (e.g., reCAPTCHA/hCaptcha/Cloudflare) via 2Captcha. Experienced in orchestrating stateful LLM agent workflows with LangGraph and hardening them for production with strict state management, retries/fallbacks, validation layers, and database-backed observability/audit logs, collaborating closely with legal/compliance stakeholders.”

Manas Kumar Sherla

Screened

Junior Machine Learning Engineer specializing in NLP and LLM-based clinical AI

Charleston, IL2y exp

“Built a production automated resume matching system using Python, FAISS vector search, and Selenium-based job scraping, including mitigation for IP blocking and heterogeneous site structures. Also develops LLM/RAG applications with LangChain, using Pydantic-guardrailed structured outputs and LLM-as-a-judge evaluation (including a project focused on tone/semantics for a 3D avatar’s emotional responses).”

Yusuf Qazi

Screened

Mid-Level Full-Stack Developer specializing in Flutter, React, and AWS

Edmonton, Alberta3y exp

“Frontend engineer with experience leading a Flutter cross-platform mobile app end-to-end, emphasizing layered architecture (UI vs service/business logic) and performance tuning (off-main-thread image processing via isolates). Also builds React + TypeScript dashboards with reusable components (TailwindCSS) and scalable state management (Context + reducers), and has handled urgent production issues with QA-verified rollouts.”

“Full-stack JavaScript developer (Node + React) who built a CRM system end-to-end, including fine-grained access control (RBAC plus per-user permissions) and user activity tracking. Currently focused on performance optimization for a data-heavy web app, applying lazy loading, image compression, and pagination to dramatically reduce load times, and has implemented per-user API rate limiting to control request bursts.”

“Candidate stands out for treating AI as a structured productivity and coordination layer rather than just a coding assistant. They describe using role-based multi-agent workflows across research, planning, technical execution, QA, security, and documentation, with a strong emphasis on human review and production validation.”

Andrew Fu

Screened

“Backend/infrastructure engineer in the EBS org focused on global server lifecycle and fleet reliability. Led a major modernization from manual, ticket-driven recovery to centralized Python services and operator tooling with DynamoDB-backed state, strong auth/allowlisting, and CloudWatch monitoring, plus an AWS Glue/S3/SNS data pipeline to join server and hardware datasets for global operational querying and automated recovery.”