Vetted HTML Professionals

“Full-stack engineer with about 3 years of experience who is deeply hands-on with AI-assisted development and agentic systems. Built TubeAgent using LangChain, Ollama, FAISS, and Llama 3, and has demonstrated measurable impact by cutting review time by 90% and reducing deployment time from 30 minutes to under 5 minutes at NC State. Combines practical experimentation with strong architectural thinking around resilient, composable AI systems.”

“Built and owned core systems for VISTA, a VR drone training simulator in Unity/C#, including modular training scenarios, drone physics, restricted airspace logic, and dynamic weather-aware gameplay. Stands out for combining VR performance discipline on Meta Quest with realistic-yet-trainable flight controls and close collaboration with faculty SMEs to align the simulation with real training workflows.”

Bill Cheng

Screened ReferencesStrong rec.

Director-level Engineering Leader specializing in SaaS platforms and AI systems

Remote, USA26y exp

“Entrepreneurial candidate building an LLC focused on applying AI to improve call center customer service, with an early go-to-market focus on local government call centers. They are already in discussions with a government prospect and have a clear thesis around solving high turnover and low knowledge retention through AI-assisted training and support systems.”

“Backend/full-stack engineer who has built AI-powered search and workflow systems in production, including a semantic resume-matching platform for recruiters and internal security data dashboards at ReliaQuest. Stands out for combining modern AI tooling with pragmatic reliability, performance tuning, and strong product intuition in ambiguous environments.”

“Front-end engineer with strong browser UI and accessibility instincts, including ownership of a complex responsive color/style picker for a major paint brand and foundational theming work for a SaaS CMS. Particularly notable for combining progressive enhancement, cross-browser rigor, and accessibility leadership to make polished interfaces work reliably across devices and user needs.”

“Geospatial/simulation specialist who built and shipped high-fidelity 3D visual databases for a DoD-used simulation/render engine, owning the full pipeline from dataset selection and ingestion (imagery/LiDAR/OSM/elevation) through performance testing and delivery. Implemented Python-based AI scripts to auto-detect terrain features and drive automated 3D scene population, and has experience with authoritative client-server synchronization (DIS) plus VR headset performance constraints (Varjo/Oculus/HoloLens at 90Hz).”

“Master’s-level IoT course project that the candidate helped evolve into a research lab effort by “ROSifying” a soil-fertility detection rover (autonomous navigation within a GPS geofence, sensor fusion, and rover-to-base-station telemetry via NRF24 to a Raspberry Pi dashboard). Also built a ROS/Gazebo vision-based teleoperation system using a SigLIP hand-gesture model mapped to geometry_msgs/Twist, and improved stability by instrumenting and filtering a latency-prone perception-to-control pipeline.”

“Frontend engineer who led the end-to-end UI for an internal employee catalog tool at Genetec, building React/TypeScript dashboards with complex search filters. Emphasizes tight product-owner feedback loops (weekly demos), Figma-based design alignment, and disciplined delivery practices using CI/CD, automated tests, and version tagging for rollouts/reverts.”

“Built a production SQL chatbot for access-log analytics that replaced manual custom report requests with natural-language querying, using LangGraph and a ChromaDB-backed RAG pipeline for grounded, consistent answers. Implemented a privacy-preserving design where the LLM never sees raw customer data (only query metadata) and has experience building multi-agent/tool-calling systems with LangGraph (DeepAgents), including solving sub-agent communication drift via self-reflection.”

“Backend-focused JavaScript/Node.js engineer with e-commerce domain depth from Decathlon, working on foundational microservices for order management, inventory, and fulfillment integrations. Led an infrastructure redesign and shipped a Shopify-based persistent cart experience, diagnosing early production issues via monitoring/log analysis and improving reliability through stronger session persistence and fault-tolerant architecture.”

“Backend-leaning full-stack engineer in lending/financial services (Kotak Mahindra Bank Autos360; currently at Ally Financial) working on Spring Boot microservices with React dashboards. Has built reliability improvements for credit-bureau integrations (Experian) and created an internal monitoring/reporting platform that aggregates metrics/logs/ETL across services, cutting troubleshooting by ~40%.”

“Open-source JavaScript library contributor/maintainer focused on performance and usability—uses profiling and user feedback to optimize large-dataset processing and modernize abstractions. Refactored a nested-callback event handling system into an observer-pattern dispatcher with batched event queues, reducing CPU usage and improving maintainability; also handles community-reported crashes by reproducing issues, fixing memory leaks, and updating docs.”

“Engineering-focused designer who has led end-to-end design of an aerodynamic gas turbine exhaust diffuser/fairing system, working across aerodynamics, thermal, manufacturing, test, and operations. Known for improving decision-making speed and alignment by standardizing CFD/performance visualizations and restructuring complex validation workflows into more intuitive, data-readable experiences, incorporating field/inspection feedback to improve maintainability.”

“Backend engineer/technical lead with experience building and operating real-time blockchain analytics systems at Merkle Science. Owned high-traffic Django/DRF services and Kafka streaming pipelines processing millions of events daily, with deep focus on performance (N+1 fixes, indexing, caching) and reliability (DLQs, retries, monitoring). Also led containerization and Kubernetes/GitOps-style CI/CD on Google Cloud, including a migration off Google App Engine to reduce cost and improve scalability.”

“Backend/platform engineer who owns policy-lifecycle workflow microservices built in Python/FastAPI with async + DDD, Kafka event processing, SQLAlchemy, JWT/RBAC, and Redis caching (cut DB load ~40%). Experienced deploying Java and Python microservices to Kubernetes with Helm and GitOps (ArgoCD) plus Jenkins/GitHub Actions pipelines to AWS/ECR, and has supported phased on-prem-to-cloud migrations with dependency mapping and data consistency strategies.”

“Former account manager/collector at Allied Account Services who ran 150–200 outbound calls/day (95% contact rate) and negotiated payment plans through an empathy-led, consultative approach. Also a solo e-commerce founder who launched a Shopify store and drove measurable growth (+55% traffic, +20% conversion, 120% monthly revenue growth in 3 months) and has been simulating SDR workflows in HubSpot with multi-channel outreach and automation/AI.”

“Backend engineer working on high-volume insurance claims intake systems who shipped a production GenAI document-classification capability in Spring Boot microservices. Emphasizes reliability in LLM systems (strict schemas, confidence thresholds, monitoring, and manual-review fallbacks) and runs evaluation loops with labeled historical documents to drive prompt/validation improvements and reduce manual review.”

“Full-stack engineer with startup experience who owned an end-to-end rebuild of a production analytics page at VideoNest (Next.js/TypeScript frontend, FastAPI/Python backend, Postgres), including third-party data ingestion/sync and query/index optimization; the feature reached 2,500+ users and received positive feedback from large clients. Also built a habit/community mobile app (Celeri) with near-real-time step updates using polling and UI optimizations like pagination and selective re-rendering.”

Siddhanth Erramaraju

Screened

Junior Full-Stack Developer specializing in MERN and AWS

Birmingham, AL3y exp

“Backend engineer focused on Python/Flask APIs and cloud-native delivery: builds stateless services with JWT auth, validation, and scalable deployment on Kubernetes using a GitOps workflow (ArgoCD-style) with easy rollbacks. Has also implemented Kafka-based real-time event pipelines and supported phased hybrid cloud/on-prem migrations with parallel runs and controlled cutovers.”

Jackie Chui

Screened

Senior Front-End Developer specializing in React/Next.js and interactive web experiences

8y exp

“Frontend engineer with 2 years at WestJet building an agent-facing booking UI layered on top of guest flows, including creating a dedicated agent UI library packaged in JFrog Artifactory for reuse across microfrontends. Also delivered a highly interactive Micron brand site using GSAP for scroll-driven animations and implemented resilient audio state/transition logic to handle rapid user scrolling. Experienced partnering closely with design/product (e.g., Corient) to prototype and ship polished, responsive experiences on tight timelines.”

Apurva Banka

Screened

Mid-level Full-Stack & AI Engineer specializing in cloud, data platforms, and LLM automation

Houston, TX5y exp

“Software engineer/product builder who has owned an agentic affiliate lead-gen platform end-to-end (Django + React/TypeScript) and deployed it on Kubernetes in anticipation of 10x user growth from ~5K DAUs. Also has healthcare claims microservices experience using Kafka, including hands-on performance tuning to address consumer lag and broker pressure, and built an internal downtime alerting tool adopted across the organization.”

Vedang Jadhav

Screened

Mid-Level Software Engineer specializing in cloud-native microservices on AWS

New York City, NY5y exp

“Backend engineer with experience across healthcare and fintech platforms (Anthem, Citia) building high-throughput Python microservices with strong compliance/security focus (HIPAA, tenant isolation). Has integrated ML workflows into production systems (ResNet embedding-based image similarity) using async pipelines (Celery/Redis) and AWS (Lambda/S3/ECS), delivering measurable performance and fraud/content-integrity improvements at scale.”

Sanveed Adnan Qureshi

Screened

Senior Marketing Analytics & Operations Analyst specializing in performance marketing and BI

Albert Lea, MN4y exp

“Paid media/demand gen marketer who owned a $50K/month multi-brand budget (five business units) across Google Ads and LinkedIn Ads. Ran structured A/B tests and made fast budget reallocations based on benchmarks (CTR/CPL/lead quality), and diagnoses performance declines via funnel and saturation analysis (frequency/overlap) to stabilize CPAs and restore volume.”