Vetted Backend Engineers

“Backend/platform engineer with payments and insurance domain experience (Cognizant), owning high-volume production systems end-to-end. Shipped a Spring Boot payment tokenization service with strong observability and phased migration that cut transaction latency ~30% and improved payment efficiency ~25%. Also productionized an ML-driven financial health/risk analytics pipeline with near real-time dashboards across 70+ schools, emphasizing interpretability, data quality, and drift monitoring.”

“Founding engineer with strong end-to-end product delivery across IoT + mobile + serverless cloud: built firmware for a Bluetooth-connected device (ESP32), a native Swift iOS app, and an AWS serverless backend (API Gateway/Lambda/SQS/SNS/DynamoDB) including payments via Stripe. Also shipped a separate startup product in 6 months: a React visual tool that generated HTTP/REST APIs with a Django backend, admin panel, and a code-generating CLI.”

“Backend developer (recent co-op at Ticker) building and architecting financial backend services with near real-time data needs, including third-party API integrations. Improved performance and reliability via Redis caching (tiered refresh + TTL) and PostgreSQL query tuning (EXPLAIN ANALYZE + composite indexes), and has exposure to AI-agent/RAG concepts for validating stock-market information against trusted sources.”

Kingsley Torlowei

Screened

Senior Software Engineer specializing in AI systems and data platforms

Remote8y exp

“Built and productionized LLM agents that ingest multi-source workplace data (Slack, meetings, calendars, PM tools) to extract entities (tasks/decisions/risks/initiatives) and generate customer insights like risk alerts, deadline-miss prediction with evidence, and workload overload detection. Also architected a graph-DB-backed multi-step agent using LangChain + Pydantic with async queue/worker execution and LLM-as-judge evaluation plus human review loops.”

Sharanya Rao

Screened

Mid-level Backend & Blockchain Engineer specializing in Cosmos SDK and EVM

Remote, USA4y exp

“Built and productionized an LLM+RAG lending assistant on AWS to help loan officers quickly answer questions from credit policies and prior decisions, tackling hallucinations with retrieval-only responses and a no-context fallback. Also automated end-to-end ETL and model retraining/deployment using Apache Airflow, and has experience translating clinical stakeholder needs (doctors/care managers) into ML features, metrics, and dashboards.”

Henry Li

Screened

Junior Software Engineer specializing in mobile, full-stack, and game development

California, USA2y exp

“Engineer with hands-on experience shipping production-critical AI-assisted workflows, including an internationalization system for a React Native/Expo mobile game that expanded from English-only to 15 languages. Stands out for pragmatic, safety-first use of AI: they design deterministic validation layers, constrain model scope, and prioritize architecture, QA, and maintainability over hype-driven agent complexity.”

“Product/backend engineer from Revinate with experience in a startup-like SaaS environment, working on B2B tools for hotel managers. Stands out for hands-on performance optimization work that cut core service response times from roughly 800ms to about 300ms using Redis caching and database query improvements, alongside full-stack JavaScript/TypeScript and Python experience.”

Simon Ray

Screened

Senior Full-Stack Developer specializing in scalable backend and microservices systems

Virginia, USA8y exp

“Full-stack engineer with strong Go/React experience who built a property management MVP from scratch as the only engineer at a pre-seed startup, owning everything from architecture to deployment. Also brings fintech depth from a production AWS-based platform handling payments, transactions, and financial calculations that was later acquired by an IBM subsidiary.”