Vetted Test-Driven Development Professionals

“Frontend-focused engineer who has delivered an end-to-end React SPA with a .NET 9 backend on Azure, deploying via Azure Container Apps and leveraging zero-downtime deployment slots. Built complex TypeScript UI flows (10-page form with global/partial save and custom validation) using Redux + MUI integrated from Figma, and emphasizes quality with RTL/Vitest plus Selenium automation (~95% coverage) and analytics-driven iteration (Heap, Alida, GTM).”

“Backend/data engineer who built an enterprise LLM assistant (AI Genie) at Broadband Insights using a LangChain + GPT-4 + Pinecone RAG pipeline to automate broadband analytics reporting. Developed Python/Dagster ETL processing 10M+ records/day and improved data freshness by 60%, with production-grade scalability patterns (async workers, containerized microservices, Kubernetes) and strong multi-tenant isolation practices.”

“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.”

“Full-stack engineer who built an early-stage social platform for scriptwriters (Scriptscape) from scratch, owning everything from React Native/React UX to Node/Postgres APIs and AWS deployment. Demonstrates strong production-minded engineering with CI/CD, observability, and scalability patterns (cursor pagination, indexing, background jobs), plus experience hardening flaky third-party integrations with idempotency and backfills.”

“Backend engineer with fintech/AI startup experience who built an Azure serverless, event-driven pipeline for large-scale crypto sentiment analysis and semantic search (OCR/NLP to vector search) and integrated LLM + blockchain data for predictive insights. Demonstrated measurable impact (25% lower retrieval latency, 10% fewer data errors, 15% higher engagement) and has led safe microservices migrations with strong security and reliability practices.”

“Backend engineer with deep experience modernizing a provider credentialing/compliance platform with multiple upstream/downstream integrations. Focused on building predictable, scalable REST APIs (primarily ASP.NET Core; framework-agnostic approach applicable to FastAPI), improving performance via DB/query optimization, and hardening workflows with idempotency, transactions, feature flags, and strong auth/RBAC patterns.”

“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.”

“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.”

“Full-stack engineer who built a cloud-native customer servicing platform at Synchrony using React 18/Next.js (SSR) and Spring Boot microservices on AWS. Experienced with high-volume, event-driven systems (Lambda/SNS/SQS) and strong distributed-systems rigor around data integrity (idempotency, DynamoDB conditional writes) plus production-grade security/observability (JWT/OAuth2, WAF, Actuator, Splunk).”

“Backend engineer who built and evolved a serverless AWS platform for large-scale live screening events with real-time chat/feedback and streaming (API Gateway/Lambda/DynamoDB/WebSockets/IVS, IaC via Pulumi). Led production refactors and phased migrations using feature flags and dual-write strategies, and has hands-on experience implementing JWT auth, RBAC, and database-enforced row-level security for multi-tenant systems.”

“Backend/data engineer with hands-on production experience across Python/Flask microservices and AWS serverless/data platforms (Lambda, DynamoDB, S3, Glue/PySpark). Demonstrated strong reliability and operations mindset (JWT/RBAC, retries/timeouts/circuit breakers, CloudWatch/SNS alerting) and measurable performance wins (SQL report runtime cut from 10 minutes to 30 seconds). Seeking ~$150k base and cannot travel for onsite meetings for the next 5–6 months due to family medical constraints.”

“Backend/AI engineer with internship experience building an AI-powered financial insights platform (FastAPI, Redis, BigQuery) and prior HCL experience leading a monolith-to-microservices refactor (Flask, Kafka) using blue-green deployments. Demonstrates strong performance/security focus (OAuth/JWT/RBAC, encryption) and measurable impact on latency, downtime, and ML model reliability; MVP was submitted to Google’s accelerator program.”

“Applied AI/ML engineer with hands-on production experience building a RAG-based AI assistant for pharmaceutical maintenance troubleshooting using LangChain + FAISS/Pinecone, including a custom normalization layer to handle inconsistent terminology and duplicate document revisions. Also built Airflow-orchestrated pipelines for document ingestion/embeddings and predictive maintenance workflows (SCADA ETL, drift-based retraining), and partnered closely with production supervisors/quality engineers via Power BI dashboards and real-time alerts.”

“Backend/data engineer with hands-on production experience building Python/Django APIs on PostgreSQL and delivering AWS serverless + containerized architectures (API Gateway/Lambda, IaC, CI/CD, secrets/config). Has operated AWS Glue pipelines ingesting S3 log/3rd-party data with schema evolution monitoring, modernized legacy batch logic into API-based services via parallel-run parity testing, and improved Postgres query performance by several seconds; prefers fully remote work and targets $120–130k base.”

“Frontend engineer who has led architecture and delivery of large, data-driven React/TypeScript interfaces used by thousands of users, with strong emphasis on scalable structure, performance, and automated quality gates (CI/CD, Jest/Cypress). Recently building a resume screening application for McMaster University students and has experience shipping role-based (RBAC) features with tight cross-functional collaboration and PR-based QA deployments.”

“Full-stack engineer with experience at Western Union and Aptly (for Microsoft), building production systems spanning React/TypeScript frontends and .NET Core/microservices backends. Has delivered an engineer-facing diagnostics/configuration console with TanStack Query caching/background refresh and has hands-on experience hardening transaction-processing workflows with Kafka, Azure Functions, and Resilience4j, plus Postgres modeling and query optimization.”

“Full-stack .NET/Azure engineer with end-to-end ownership of policy management microservices (React/TypeScript + C#/ASP.NET Core + Kubernetes) delivering significant performance and quality improvements (e.g., response time -35%, defects -30%, CSAT +18%). Also productionized an AI-assisted analyst workflow using Azure OpenAI with a RAG pipeline on Azure Cognitive Search, including rigorous prompt versioning, guardrails, and measurable impact (review time -40%, errors -55%). Led incremental legacy modernization via Strangler Fig and dual-write migrations with zero production regressions.”

“Full-stack engineer currently building an employee management system end-to-end with React, Node/Express, and PostgreSQL, including JWT auth and RBAC. Previously worked at TCS on large-scale State Bank of India web applications, applying Redis caching, server-side pagination/filtering, and async job offloading to improve performance and reliability.”

“Full-stack engineer who built a checklist configuration/task execution system using Next.js App Router + TypeScript, with a React Native app consuming the execution UI via WebView. Was the only full-stack developer at a very small startup (CTO/CFO/CEO team), owning feature delivery plus client-facing on-call debugging, and has hands-on Postgres modeling and query optimization experience.”