Pre-screened and vetted.
Mid-level Backend/Agentic AI Engineer specializing in GenAI automation and RAG systems
“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.”
Junior Machine Learning Engineer specializing in NLP and LLM-based clinical AI
“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).”
Mid-Level Full-Stack Developer specializing in Flutter, React, and AWS
“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.”
Junior Software Engineer specializing in .NET backend and cloud-deployed real-time systems
Entry-Level Mechatronics Engineer specializing in robotics, embedded systems, and ROS 2
Entry-Level Full-Stack Software Engineer specializing in backend systems and cloud deployment
Junior Full-Stack Developer specializing in FinTech automation and real-time dashboards
“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.”
“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.”