Vetted Kotlin Professionals

“Backend/platform engineer who built an LLM-driven QA automation system (“mockmouse”) using a Flask orchestration microservice, Socket.IO real-time updates, Redis caching, and strict Pydantic schemas to turn prompts into reliable action graphs and automated browser tests. Has hands-on Kubernetes delivery experience (Docker/Helm/Jenkins) and has supported large migration programs, validating ETL cutovers with 1M+ synthetic records and rigorous output comparisons; also built event-driven monitoring/anomaly detection streaming into Grafana.”

“Backend-focused engineer who built a time-sensitive data retrieval system for a source with no public API, using an AWS EC2-hosted persistent browser session plus a PostgreSQL TTL caching layer—cutting manual retrieval by 99% and achieving sub-10-second average retrieval. Emphasizes production security (Secrets Manager, encryption, IP allowlisting, rate limiting) and robustness via testing and edge-case handling (atomic file operations).”

srikanth tulluru

Screened

Mid-level Product Designer & Design Technologist specializing in design systems and GenAI UX

Remote, USA3y exp

“Enterprise/industrial UX designer focused on making complex, real-time automated systems feel trustworthy and predictable. Has hands-on experience observing operators in logistics/automation environments, building shared interaction models to unify fragmented products, and collaborating tightly with engineers using component-system thinking (HTML/CSS/TypeScript) to ship resilient UIs that handle partial failures.”

“Frontend-focused engineer who built the entire UI architecture for a GenAI product as the sole founding engineer, shipping a unified experience across iOS, Android, and web. Stands out for combining cross-platform Flutter expertise with browser-level performance tuning, accessibility, and design-system thinking, including measurable wins like 45% faster load times, 94% accessibility, and dramatically faster engineer onboarding.”

“Built end-to-end product features for a Web3 monetization platform and also shipped a privacy-first mobile accessibility app, SenScribe, using on-device sound classification and LLM summarization with zero cloud dependency. Particularly interesting for roles spanning full-stack product engineering, mobile AI, and applied ML where careful debugging, stakeholder alignment, and real-world usability matter.”

“Frontend engineer focused on scalable React + TypeScript dashboards and workflows, using feature-based architecture and a reusable component/hook approach. Has hands-on experience improving performance in table-heavy admin UIs (pagination, lazy loading) and shipping major features quickly with staging/manual QA, gradual rollouts, and rapid iteration based on production feedback.”

“Built a university campus assistant chatbot (BabyJ/WWJ) using RAG and agentic routing with a FastAPI + React stack and JWT auth, focusing heavily on production concerns like latency and reliability. Uses techniques like speculative prefetching, smart intent routing, and rigorous eval/testing (golden sets, regression, edge cases) while collaborating closely with campus admin/advising teams to iterate based on real user feedback.”

Yousef Abdelsalam

Screened

Junior Software Engineer specializing in Odoo, web performance, and backend systems

Orlando, FL2y exp

“Full-stack developer who shipped LLM-powered customer support automation, including an AI call center designed for always-on, high-concurrency real-time phone handling. Also built a WhatsApp lead-conversion chatbot using Zapier webhooks, Redis state, and Twilio messaging, and reports measurable outcomes (+11% customer satisfaction, ~7% cost reduction) while using GPT-4.1.”

Ayushant Khandekar

Screened

Junior Full-Stack Developer specializing in GenAI-powered web and mobile apps

Remote2y exp

“Web3 creator-led growth and community builder who frames crypto as infrastructure and designs content to drive measurable on-chain behavior. Uses X-native distribution (threads, replies, quote-tweets) paired with interactive CTAs and on-chain dashboards to convert attention into trust and product usage, with a structured 90-day plan for launching and scaling protocol communities.”