Vetted Automated Testing Professionals

“Backend engineer who has designed and evolved high-traffic event/activity management systems using Node/Express and PostgreSQL, prioritizing scalability and reliability with a layered architecture. Has led zero-downtime refactors/migrations using parallel runs, dual writes, and rigorous validation/monitoring, and brings a security-focused API approach (JWT, RBAC/ABAC, rate limiting, DB-enforced tenant/RLS filters).”

“ML/NLP engineer with banking domain experience who built a GenAI-powered fraud detection and risk intelligence system at Origin Bank, combining RAG (LangChain + FAISS), fine-tuned BERT NER, and GPT-4/Sentence-BERT embeddings. Delivered measurable impact (25% higher fraud detection accuracy, 40% less manual review) and emphasizes production-grade pipelines on AWS SageMaker/Airflow with strong data validation and scalable PySpark processing.”

“QA automation-focused candidate with hands-on ownership of unit and integration test suites, including CI/CD integration in GitLab. Caught a database-query regression that would have shipped incomplete API data by relying on automated integration tests, and has practical Cypress experience stabilizing flaky tests using cy.intercept()/cy.wait() and stable selectors.”

Raghavendra Dubey

Screened

Mid-level Software Engineer specializing in Java microservices and cloud-native systems

CA, USA5y exp

“Enterprise workflow/product engineer (DXC) who owned a customer-facing workflow application for 500+ users and improved performance ~30% through API/SQL optimization, caching, and CI/CD-backed iteration. Experienced designing React/TypeScript + Java/Spring Boot systems and operating microservices with RabbitMQ/Kafka-style messaging, emphasizing reliability via DLQs, backpressure, and strong observability. Also built an internal automation dashboard adopted by support/ops teams to cut manual work and reduce SLA misses.”

Muhammad Waqas Ashraf

Screened

Senior Full-Stack Engineer specializing in AI, cloud infrastructure, and DevOps

Lahore, Pakistan7y exp

“Frontend engineer focused on building and scaling data-heavy, real-time dashboards with React/Next.js/TypeScript. Emphasizes performance and reliability at scale through modular architecture, centralized state (Zustand/Redux), strict API contracts, automated testing, and production monitoring (Grafana/CloudWatch), and has experience shipping quickly with feature-flagged rollouts and rapid iteration from user feedback.”

Akhila Chitturi

Screened

Mid-level Embedded Software Engineer specializing in real-time control and automated testing

Detroit, MI3y exp

“Master’s thesis researcher building an intelligent fault diagnosis and predictive maintenance stack for autonomous quadcopters—covering simulation-based fault injection, signal processing (Id/Iq), ML fault classification, and real-time edge deployment on Raspberry Pi with Hailo-8 acceleration. Previously delivered production C++ middleware/microservices at Accolite and has hands-on experience with constrained networking via a LoRaWAN IoT communication stack.”

Sam Fish

Screened

Senior Full-Stack Engineer specializing in web platforms, cloud infrastructure, and data systems

Culver City, CA5y exp

“Full-stack/product-leaning engineer who owned an end-to-end AI Tutor feature (Claude-powered) shipped simultaneously to iOS/Android/web via Expo, with Cloudflare Workers backend and PostHog analytics. Built the company’s GitHub-based CI/CD to coordinate app store releases with backend blue/green deployments. Also has significant data engineering experience (including ~8TB/day workloads) using dbt/Fivetran plus sharding and hashing-based diffing for correctness.”

Tracy Nguyen

Screened

Mid-Level Software Engineer specializing in Front-End Web Development

Toronto, Canada3y exp

“Frontend engineer with React + TypeScript experience building internal dashboards and a nonprofit festival website delivered end-to-end in 6 weeks. Emphasizes scalable quality practices (documentation ownership, code reviews, CI/CD, testing) and user-centered delivery, including accessibility, multilingual support, and enabling non-technical stakeholders to update content.”

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.”

Pranav Zagade

Screened

Junior Software Engineer specializing in full-stack and AI systems

Arizona, USA3y exp

“Built and shipped an LLM-powered support agent for Community Dreams Foundation that automated intake and Jira ticket creation using RAG, structured outputs, and strong production guardrails. Demonstrated practical production AI experience with 92% routing accuracy, 98% uptime, and a 31% improvement in first-response accuracy, plus hands-on work in observability, evals, idempotency, and failure handling.”

“Unity/C# engineer with hands-on ownership of a server-backed resource loading pipeline that kept build size small, preserved UI responsiveness via parallel services, and handled dynamic asset replacement with ghost objects and memory cleanup. Also brings a pragmatic, architecture-first approach to AI/LLM integration, emphasizing provider abstraction, testing, cost control, and guardrails for hallucinations.”

“ML engineer with hands-on experience building banking AI systems end-to-end, including a customer-targeting model that improved campaign response rates by about 10%. Also shipped a RAG-based banking FAQ/support feature with safety guardrails and production optimizations around retrieval quality, latency, and cost, plus reusable Python services that reduced duplicate work for other engineers.”

“New-grad backend engineer who built a real-time genome analysis pipeline, replacing a slow batch system with an event-driven distributed architecture in Python/Redis and a React progress dashboard. Reports ~6x improvement and cutting analysis time from days to hours with zero data loss under peak load, emphasizing reliability patterns like retries and idempotency plus API security (JWT/RBAC/HTTPS).”

“DevOps engineer (State Farm) with hands-on ownership of Python backend services and data pipelines, deploying microservices and workers on Kubernetes using GitOps (Argo CD). Has led complex cloud-to-on-prem/hybrid migrations with staged cutovers and rollback planning, and built Kafka-based real-time streaming pipelines with schema governance, autoscaling, and strong observability.”

“Data engineer who has owned production pipelines end-to-end, ingesting 50–100 GB/day from APIs/S3 and near-real-time Kafka into Snowflake with strong data quality gates (Great Expectations/dbt) and Airflow-based reliability (SLAs, alerting, dashboards). Also built a Snowflake-backed REST data API with caching/pagination and versioned endpoints, and designed a compliant, scalable web-scraping system with anti-bot handling and safe backfills.”

Purva Chakravarti

Screened

Senior Full-Stack Software Engineer specializing in scalable web apps, cloud, and blockchain/AI

Chino, California11y exp

“Full-stack engineer with strong production ownership across React/TypeScript, Node.js, and AWS (EC2/ECS/RDS/CloudWatch), including CI/CD, observability, and incident response. Delivered a secure RBAC workflow module end-to-end and achieved measurable gains (~30–40% latency reduction, ~50% error reduction) that lowered infra/ops costs. Comfortable in high-ambiguity startup environments—shipped a payment module within 2 days of joining with no documentation.”

“Software development intern who owned and shipped a production-used WeChat mini-program (JavaScript + MongoDB) serving ~3,000 users in a semester. Emphasizes maintainable UI architecture through modular, reusable components and clear separation between UI presentation and data/business logic, with a performance mindset (caching/reducing redundant updates).”

“Full-stack engineer with hands-on ownership of a production AI knowledge assistant used by 10,000+ daily users. Combines React/Next.js frontend work with FastAPI, AWS serverless, and RAG architecture using GPT-4, LangChain, and Pinecone, with measurable impact on relevance, latency, uptime, and support deflection.”

Alex Archer

Screened

Staff Full-Stack Engineer specializing in Python, AI systems, and cloud SaaS

Anna, TX8y exp

“Full-stack startup engineer from a 20-30 person company who led a legacy monolith breakup into microservices, improving response times by 30% and database performance by 20%. Has hands-on experience across React/Next.js, TypeScript, Go, Python, and AI/data pipeline work, including building AI-driven platforms for freight and publisher-focused B2B SaaS products.”

“Software engineer (Alpine Bank) focused on modernizing high-traffic customer-facing systems with React/TypeScript frontends and Spring Boot microservices. Has hands-on experience stabilizing and scaling event-driven architectures with Kafka (idempotent consumers, partitioning, retry queues) and building internal observability dashboards that materially sped up post-deployment verification and improved release confidence.”

“Co-founder at Skoolive who built a multi-agent LLM application to help users understand complex research papers (including PDF interaction and flowchart-style representations), moving from prototype to production using Gemini SDK and deployment to Runway. Also developed and demoed a web-agent benchmarking framework, running hands-on sessions with customer-facing teams to improve agent reliability and drive adoption.”

“Robotics project manager and software lead for an underwater ROV (MATE 2024–2025), building a ROS 2 Jazzy stack on Raspberry Pi and a serial Pi-to-Arduino thruster control system for a 6-thruster configuration. Also has internship experience creating automated functional test pipelines using Jenkins, Selenium, and Python, plus exposure to Isaac Sim for simulated/synthetic data generation in an embodied AI hackathon.”

“Engineering leader who modernized infrastructure by migrating a ~100-server co-location setup to AWS/GCP with IaC, auto-scaling, and fault-tolerant design, reducing hardware upgrade burden. Also led a key analytics architecture shift from MySQL to ClickHouse to enable highly granular ad revenue attribution and profitability insights, while scaling the dev org from 2–3 to ~12 with stronger CI/testing and review processes.”