Vetted Amazon S3 Professionals

“Built production-style backend and AI systems across internship and project work, including a real-time sports platform backend and a Smart Email Assistant using GPT-4. Stands out for combining classic backend performance engineering with practical LLM workflow design, including measurable latency improvements, high uptime, and debugging of non-deterministic model behavior.”

Tejaswi devarapalli

Screened

Junior Software Engineer specializing in backend systems and AI infrastructure

Los Angeles, CA2y exp

“Built both a full-stack AWS file-processing pipeline and a production AI document Q&A system ('smart-doc'). Stands out for combining strong cloud engineering with practical LLM/RAG architecture, including hybrid retrieval, reranking, structured outputs, confidence-based retries, and production monitoring.”

“Fullstack engineer with a strong serverless/AWS and applied AI profile, having built document-upload-to-RAG chatbot systems using Bedrock/Titan as well as a production fintech reporting platform. Particularly compelling for teams needing a zero-to-one builder who can own architecture, frontend, backend, and user-informed product delivery; one recent product reached 100+ student users within 48 hours of launch.”

Ahmed Sohail

Screened

Mid-level Full-Stack Engineer specializing in React, Next.js, and Node.js

Remote, Pakistan4y exp

“Frontend-leaning full-stack engineer with hands-on experience building React/TypeScript applications backed by Node.js and GraphQL services. They highlighted a quiz-game product with complex frontend synchronization and an e-commerce optimization effort that raised homepage performance to roughly 90% in Lighthouse, while also creating reusable components and shared services to improve team velocity.”

“Solo builder of two technically ambitious products: Ghosted, a full-stack job search platform for international candidates navigating H-1B sponsorship data, and ContextForge, a Claude Code marketplace plugin that gives coding agents persistent memory and targeted codebase retrieval. Particularly strong in AI agent infrastructure, retrieval reliability, and end-to-end product ownership, with a fast release cadence and a habit of turning real failure modes into shipped improvements.”

“Customer-facing engineer from Popular Tech who built and deployed tailored AI/automation features for enterprise voice systems. Experienced in integrating customer workflows via APIs, handling live production latency incidents through log tracing and rapid stabilization, and validating solutions through phased rollouts, monitoring, and direct on-site collaboration with clients.”

“QA/supplier-performance focused candidate who uses defect and delivery data to spot recurring issues early, identify root causes tied to rushed timelines/high workload, and implement practical process changes (e.g., added validation steps and tightened defect definitions). Emphasizes clear, metric-backed communication to align internal stakeholders and suppliers, then monitors post-change results to confirm sustained improvement.”

Kolby Kalafut

Screened

Senior Full-Stack Engineer specializing in e-commerce and operations platforms

Dallas, TX8y exp

“Sole software engineer for an ecommerce operation who ships and operates full-stack products end-to-end. Built a production AI voice agent integrated with Shopify and internal systems that now handles 4,000+ customer calls/month, plus a branded mobile app credited with $4M+ in sales and a self-serve returns/warehouse platform with strong React/TS UX and robust AWS operations.”

Mohammad Khaja Faizan

Screened

Junior Backend Software Engineer specializing in API-driven systems

Corpus Christi, TX2y exp

“Backend engineer focused on Python/FastAPI who has designed and evolved an API-driven platform with an emphasis on clean contracts, data integrity, and scalable service boundaries. Demonstrated production-minded reliability work by addressing partial writes/retry failure modes with idempotency and validation, eliminating duplicate/corrupted records, and has implemented layered security including Supabase-managed auth, RBAC, and row-level security.”

“Full-stack engineer with experience delivering an end-to-end NIH application using Angular and scalable .NET Core microservices backed by MySQL. Has hands-on depth in complex approval/workflow implementations (RBAC + workflow engine) and performance tuning for million-record, data-driven systems, plus 5 years with Java/Spring Boot microservices and React.”

“Application security engineer/advisor with hands-on experience securing AWS-based, containerized services and embedding SAST/DAST/SCA and container scanning into GitHub/GitLab CI/CD. Drove measurable outcomes (50% faster vuln triage, 40% fewer misconfigs) and has deep operational troubleshooting experience in Kubernetes (agent failures due to CPU throttling/network policies), plus pragmatic strategies to reduce developer friction and handle API rate limits.”

ABHIGNAN YANGANGARI

Screened

Junior Full-Stack Software Engineer specializing in Java/Spring Boot and React

Hyderabad, India1y exp

“Full-stack engineer who built a lost-and-found pet management platform (React + Node/Express + SQL) with a focus on scalability (stateless JWT auth, modular REST APIs, cloud-based image handling) and performance (Artillery load testing, Chrome DevTools, query/index tuning). Also demonstrates systems-thinking around low-latency real-time voice pipelines integrating WebSockets, ASR, LLMs, and audio output, and has experience translating founder input into shippable product via rapid prototyping.”

“Frontend/product engineer who owned major parts of the Data Lab at Info42, a SaaS intelligence platform for the Indian startup ecosystem used by investors, founders, and researchers. Stands out for building data-dense React/TypeScript experiences with hybrid SSR/CSR, performance-focused dashboard architecture, and close backend collaboration on API contracts, search/filtering, and subscription-aware access.”

Rahul Jaiswal

Screened

Mid-level Full-Stack Developer specializing in AI-powered SaaS and web platforms

Dimapur, India3y exp

“Full-stack engineer focused on AI-powered products who has independently built end-to-end systems ranging from a food delivery platform with admin/rider workflows and payments to RAG-based LLM apps like a PDF-to-chat book assistant. Particularly interesting for teams building production AI because they speak concretely about retrieval architecture, evals, observability, fallback design, and human-in-the-loop decisions in customer support use cases.”

“Backend/data engineer with hands-on production experience building a FastAPI Python service on AWS for real-time AI workflows (Postgres/Redis, containers behind API Gateway) with strong reliability practices (JWT auth, timeouts/retries, health checks). Has delivered AWS infrastructure using Terraform + GitHub Actions across environments, built Glue ETL pipelines into Snowflake with idempotent recovery, and modernized legacy batch workflows via parallel-run parity validation and phased cutovers.”

“Unity developer who has published multiple games (e.g., "Hole people", "beads out") and reports building nearly everything inside the games himself, including gameplay, remote config, and A/B testing. Also built "Age of battles PvP" with backend server, economy, multiplayer, analytics, and blockchain/Web3/NFT functionality, including custom verification logic to mitigate third-party transaction delays. Currently earning about $3,000/month due to covering both backend and Unity/multiplayer responsibilities.”

“AI/ML practitioner with production experience building a RAG-powered contextual customer support agent, optimizing for low latency using vector databases and smaller LLMs. Also deployed a fraud detection model on Kubernetes with auto-scaling for heavy transactional loads, and improved chatbot accuracy by 15% through metric-driven testing and evaluation. Partners with Marketing on personalization/recommendation initiatives with measurable outcomes tied to customer feedback.”

“Full-stack engineer who was the sole cross-stack builder on a marketplace serving 400,000+ users, owning everything from React dashboards and core APIs to AWS infrastructure and scaling improvements. Stands out for combining strong technical depth with product instinct—shipping a payment-on-delivery feature in a week that increased sales 5x, and proactively building AI-powered internal tooling to eliminate manual recruiting workflows.”

“New-grad software engineer who built a real-world smart-city traffic camera/operations dashboard pitched to Peachtree Corners, GA, integrating Bosch cameras with an MQTT/Node-RED/InfluxDB pipeline and Grafana visualizations. Implemented rule-based alerts (including SMS dispatch for janitorial cleaning) and improved production reliability with queuing, redundancy, monitoring, and load testing, reaching ~99% message delivery. Actively seeking onsite, customer-facing roles with travel.”

“Early-career full-stack engineer who has not yet shipped a professional customer-facing product but has built sophisticated AI-driven systems in personal/academic work, including a multi-tenant AI knowledge base (async ingestion, pgvector semantic search, SSE real-time updates, knowledge graphs) and an AI-powered code review assistant designed to process thousands of jobs via Redis/BullMQ.”