Vetted Authentication Professionals

“Full-stack engineer (T-Mobile experience) focused on authentication/session-management systems, with hands-on work optimizing token-validation flows and reducing latency by eliminating redundant API calls and adding caching. Brings strong production ownership with observability (Splunk/Grafana), Postgres data modeling/index tuning, and resilient async workflow design (idempotency, retries/backoff, queues).”

“Product leader with a strong blend of AI/ML product strategy, UX optimization, and design org building. They drove a matching product enhancement that increased daily matches from 2,400 to 7,800, and separately improved Amex onboarding conversion from 67% to 92% through targeted user research and copy changes. They also turned a vulnerable design team into an integral cross-functional capability by hiring talent and operationalizing design support across product teams.”

“Enterprise CSM with experience at IBM and Cloudera, focused on AI and cloud modernization engagements. Drives adoption, renewals, and expansion by building success plans with measurable ROI/usage outcomes, mediating complex stakeholder priorities, and unblocking deployments through tight Product/Engineering/Sales coordination. Also brings strong GTM analytics capability (Salesforce/HubSpot/GA/Tableau/SQL) to improve funnel performance and pipeline conversion.”

“Built and owned an end-to-end agentic RAG chatbot platform for Baptist Health that helped clinicians access policy and clinical documents faster, reducing manual lookup by 80% and delivering about $2M in annual savings. Brings strong healthcare GenAI production experience, including HIPAA-aligned governance, PHI redaction, observability, evaluation, and scalable Python/Kubernetes deployment practices.”

“Backend-focused engineer building customer support/order-tracking platforms with Java 17/Spring Boot microservices and a React/TypeScript frontend. Deep experience running event-driven systems on Kubernetes (Kafka, Redis, MySQL) with strong observability (Prometheus/Grafana/Splunk), SLOs, and safe deployment practices (feature flags, canaries). Also built an internal monitoring/debugging dashboard that consolidated metrics and logs for on-call engineers and was adopted by other teams to speed incident response.”

Syed Daim Ali

Screened

Intern Software Engineer specializing in FinTech and AI platforms

Sunnyvale, CA0y exp

“Systems-focused engineer who built an OS kernel with multithreading, priority scheduling, system calls, and synchronization primitives, and debugged race conditions end-to-end. While not yet hands-on with ROS/SLAM, they clearly connect low-level concurrency and scheduling decisions to deterministic, reliable robotics-style real-time workloads.”

“Built a production-grade agentic document intake system that converts PDFs into structured records with strict schema validation, confidence-based retries, and a human review UI. Demonstrates strong practical judgment around making LLM systems reliable in enterprise workflows, including custom orchestration, observability, and continuous evals rather than relying on off-the-shelf abstractions.”

Hongxi Chen

Screened

Intern Software Engineer specializing in distributed systems and backend infrastructure

Beijing, China0y exp

“Backend engineer with deep experience building event-driven logistics systems (orders, warehouse execution, real-time delivery tracking) using Spring Boot/PostgreSQL/Redis and strong observability (Prometheus/Grafana). Led a zero-downtime migration from monolithic MySQL to a sharded architecture for ~2M users with dual-write, checksum validation, and fast auto-rollback, and has strong security expertise including PostgreSQL RLS for multi-tenant SaaS and robust OAuth/JWT handling.”

“Built and shipped a production LLM-powered internal developer tool that accelerated code reviews by about 30% while maintaining reliability through modular orchestration, validation, and monitoring. Demonstrates strong practical depth in agent architecture, backend workflow orchestration, and observability for non-deterministic AI systems, with concrete examples of reducing agent errors by 60%.”

Tianxiang Yang

Screened

Mid-level Full-Stack Engineer specializing in MERN and FinTech

Arkansas, AR4y exp

“Frontend/full-stack engineer with Walmart experience building browser-based user features end to end, including an email mention notification system and performance improvements on e-commerce tooling. Strongest themes are React-based UI development, optimization, and refactoring legacy codebases toward more maintainable functional-component architecture.”

Jyotshna Dammu

Screened

Intern Autonomous Driving Software Engineer specializing in ADAS controls and embedded systems

Auburn Hills, MI3y exp

“Embedded control and systems-integration engineer with hands-on experience taking control logic from Simulink simulation through embedded implementation and rigorous MIL/SIL/HIL plus vehicle testing. Has built and tuned nonlinear/decentralized MPC for autonomous driving behaviors (obstacle avoidance, overtaking, multi-agent coordination) and has CI/CD experience (Jenkins/Git); currently ramping into ROS2 with Python/C++.”