Vetted HTML Professionals

“Frontend engineer who led end-to-end delivery of a React/Next.js platform and real-time analytics dashboard at HacknoTech, emphasizing scalable UI architecture and performance. Uses a pragmatic state strategy (React Query for server state, Redux Toolkit for UI state), built shared component libraries with Tailwind, and improved load times by ~40% through code splitting/lazy loading and Lighthouse-driven tuning.”

“Full-stack engineer (4+ years) with a Master’s in Computer Science who owned end-to-end customer-facing social networking features at NextBits, building TypeScript/React/Next.js + NestJS systems with microservices, RabbitMQ, MongoDB, and Redis. Experienced scaling real-time notifications/messaging/presence to millions of concurrent users with sub-100ms performance targets, zero-downtime CI/CD, and internal tooling for monitoring AI/ML pipelines and queue backlogs.”

“Backend engineer who built and scaled a FastAPI-based backend for an AI-driven maintenance system automating vendor sourcing/bidding/communication. Emphasizes async, message-driven architecture with strong observability and state-machine-driven workflows, plus robust webhook/idempotency patterns to prevent duplicate/out-of-order events from causing bad bids or state changes.”

samuel gomez serrano

Screened

Senior Frontend Engineer specializing in React, Next.js, and TypeScript

Mexico, Remote5y exp

“Frontend engineer who has led workflow-heavy React/TypeScript products end-to-end, emphasizing feature-based architecture, reusable UI patterns (forms/tables/async states/permissions), and performance optimization for data-dense dashboards. Strong track record of shipping quickly with quality via PR standards, targeted testing, UAT, staged rollouts, and iteration driven by analytics, error reports, and operator feedback.”

Lalith Sagar Kambala

Screened

Junior Full-Stack Software Engineer specializing in AI-powered SaaS

United States, USA1y exp

“Worked on an AI-adjacent search/results product with a React front end and an API-driven backend, focusing on scalability and performance. Emphasizes decoupled JSON API architecture, React rendering optimizations (useMemo/useCallback), and large-dataset techniques like virtualization, plus strong user-issue triage via log analysis and edge-case fixes in query handling/ranking.”

Ekta Mulkalwar

Screened

Junior Machine Learning & Full-Stack Engineer specializing in applied AI systems

Los Angeles, CA2y exp

“Master’s thesis focused on building and deploying a gait-based biometric authentication system using mobile accelerometer time-series data as an alternative to passwords/2FA. Emphasized real-world robustness by addressing sensor noise and variability (phone placement, walking speed, footwear) and improving safety using biometric metrics like FAR/FRR and EER, while collaborating closely with a non-ML thesis advisor.”

Vinith Nagelly

Screened

Mid-level Full-Stack Developer specializing in Python/Django and React

Little Rock, AR4y exp

“Backend engineer at Hexanika who owned a real-time fraud-detection platform: built Django microservices, integrated a GenAI anomaly-scoring model, and optimized data/infra for low-latency production (including ~40% query-latency reduction). Experienced running containerized services on AWS/GCP with Kubernetes/GKE, GitHub Actions-based CI/CD + GitOps, and building Pub/Sub streaming pipelines and on-prem-to-cloud migrations.”

Maheswari Thokala

Screened

Mid-level Full-Stack Engineer specializing in cloud microservices and REST APIs

CA, USA4y exp

“Backend engineer building an AI-powered social media platform on AWS, with hands-on experience shipping LLM-backed application features and improving production performance under high traffic. Strong focus on reliability/observability (CloudWatch, structured logs, health checks) and database optimization (MongoDB explain/slow logs, indexing, caching, connection pooling).”

Andrea Scharf Aguilar

Screened

Mid-level Post Production Coordinator specializing in animation pipelines and client delivery

Los Angeles, CA6y exp

“QA/production specialist operating in VFX-style pipelines with game-like iteration cadence; owned and kept an on-set, in-camera UI screen animation package stable and camera-ready throughout filming on Alien: Romulus in Hungary. Uses Nuke-based node QC setups plus ShotGrid/NIM-driven traceability and risk-first triage to drive fast fixes under tight, high-visibility production timelines.”

“Internship-built full-stack systems spanning HR employee-record portals and internal data-quality dashboards (Flask + SQL + React), emphasizing data integrity and rapid MVP iteration. Also implemented Flask microservices with RabbitMQ for distributed task processing, addressing duplication/ordering issues with idempotency, durable queues, and correlation-ID logging; delivered quantified productivity gains for HR teams.”

Monil Patel

Screened

Junior Software Engineer specializing in backend and cloud systems

Pennsylvania, USA2y exp

“Full-stack engineer with hands-on experience spanning analytics products and fintech infrastructure. Built a YouTube Data Aggregator end-to-end in 2025 with ingestion, dashboards, and predictive modeling, and also shipped Stripe webhook/payment systems at FinPay supporting $5M+ in transactions with 99.9% uptime.”

“Frontend engineer with strong experience building enterprise-grade banking interfaces, including a cross-platform credit card application with secure document uploads, real-time status tracking, and complex multi-step e-forms. Stands out for combining React/TypeScript architecture skills with deep browser-level debugging and measurable UX improvements in regulated financial environments.”

Ahmad Rayyan

Screened

Entry-level Full-Stack Engineer specializing in Applied AI and multi-agent systems

Pakistan1y exp

“Built both traditional full-stack products and advanced LLM systems, from a React/Flask dashboard used by instructors to monitor GitHub contribution patterns to multi-agent benchmark infrastructure at Analytiverse. Particularly strong in evaluation-heavy AI engineering: designed executable verifiers, force-zero anti-reward-hacking checks, and token-optimization strategies that delivered a 40-point pass-rate lift and 90x token reduction on SwarnBench tasks.”

“Early-stage product engineer who built an AI persona chat system end to end at Super Intro, spanning Next.js frontend, GraphQL/real-time backend, retrieval memory, and LLM-based matching. They combine strong TypeScript rigor with practical AI systems design, and cite measurable impact including ~40% engagement growth, ~30% recall improvement, and lower LLM costs in production.”

“Frontend engineer who led an enterprise Vue 3 product end-to-end with a feature-based architecture and Pinia state management, with a strong emphasis on accessibility at scale. Created and published an accessibility library (vue-a11y-directives) used in a production front-desk app (Hotelkeyapp) and by other developers via npm.”

John Kenny

Screened

Senior Full-Stack Engineer specializing in Web3 and FinTech

Global, Remote6y exp

“Full-stack engineer with deep startup experience (pre-seed through IPO/SPAC) currently building a Next.js/TypeScript SaaS sports analytics platform with a complex Postgres-based entitlement/ACL system. Has delivered measurable UX/business impact (35% retention lift, 40% volume increase) and built production-grade daily ETL + model training/inference workflows with validation and checkpointing for reliability.”

“Full-stack product engineer who has built both a production-grade React/Next.js analytics platform and a Stripe-based subscription system end to end, with measurable business impact including churn reduction, reporting automation, and cost savings. Also stands out for 0-to-1 work in the digital art space, where they built an AI-powered cataloguing and delivery pipeline over 30TB of assets using computer vision, Shopify, and cloud infrastructure.”

“Engineer with growth-stage startup experience on a 6-7 person cross-functional team, working across backend, data, and frontend systems. They’ve driven concrete improvements to high-volume data ingestion pipelines through batch processing and database optimization, and have built B2B SaaS data platforms for enterprise customers with multi-tenant support, integrations, and scalable backend services in Python and Go.”