Vetted Product Development Professionals

“Performance marketer focused on high-spend lead generation, running $50K+/month across Meta, Google, and native. Emphasizes profitability metrics (CPL, RPC, CVR) and a rigorous creative/landing-page testing cadence, reporting ~30–40% CPL reductions on Meta across multiple verticals while scaling volume. Builds cross-platform tracking dashboards and custom AI tools to launch and iterate campaigns at scale.”

Rahul Jaiswal

Screened

Mid-level Full-Stack Developer specializing in AI-powered SaaS and web platforms

Dimapur, India3y exp

“Full-stack engineer focused on AI-powered products who has independently built end-to-end systems ranging from a food delivery platform with admin/rider workflows and payments to RAG-based LLM apps like a PDF-to-chat book assistant. Particularly interesting for teams building production AI because they speak concretely about retrieval architecture, evals, observability, fallback design, and human-in-the-loop decisions in customer support use cases.”

Nechar KC

Screened

Entry-level AI Engineer specializing in full-stack LLM applications

Hayward, CA1y exp

“Built an AI-powered lecture-to-notes web app from personal pain at university, combining Spring Boot, React, PostgreSQL, and Python AI services for transcription and summarization. Also led architecture for FishBowl, a multi-agent Shark Tank-style pitch practice tool using GPT-4o, Perplexity, and ElevenLabs that won 1st place in the AI & Entrepreneurship track at HackHayward.”

“Chief of Staff in a bootstrapped company with cross-functional scope spanning hiring screening, GTM planning, and stakeholder/investor coordination. Emphasizes SOP- and KPI-driven operating systems, citing operational excellence improvement from ~50% to ~85–90% and leading negotiations/onboarding for strategic partnerships to boost growth and market visibility.”

Diego Hernandez

Screened

Entry-level Mechatronics Engineer specializing in robotics, automation, and ROS 2

Cali, Colombia

“Robotics software/embedded engineer who helped build an end-to-end perception sensor platform in a two-person team, owning PCB design, ROS architecture (sensor/processing/diagnostic nodes), and documentation. Experienced integrating heterogeneous sensors over CAN with Arduino and optimizing real-time performance bottlenecks (camera and high-frequency streams) using compression, grayscale pipelines, and reduced inference frequency; also containerized the system with Docker.”