Vetted GitHub Professionals

“AI/full-stack engineer who has built a production-style LLM knowledge assistant from scratch, combining FastAPI, LangChain, FAISS, semantic retrieval, and a user-facing chat interface. Stands out for owning both the technical architecture and the product usability layer, including latency optimization, prompt refinement, and source-backed responses to improve trust for non-technical users.”

“Frontend engineer with hands-on experience building React/Next.js/TypeScript production features, including a driver partner registration site and a statistics dashboard with interactive maps. Demonstrates practical strength in reusable component design, CSS/layout debugging, responsive UI quality, and performance optimization for data-heavy interfaces.”

“Senior software developer with hands-on experience building real-time React + TypeScript dashboards and map-based visualization tools for large datasets. Stands out for practical frontend performance work in production, including memoization, virtualization, debouncing, lazy loading, and Google Maps optimization for thousands of records or points.”

“Built internal product features at Sysco's Collab Cafe across React/TypeScript frontend and Spring Boot/PostgreSQL backend, including a full project invite flow and an early AI-style project matching capability. Stands out for owning features end-to-end, improving React dashboard performance with profiling and component refactoring, and making pragmatic 0→1 tradeoffs to ship quickly.”

Vinay K Naidu

Screened

Senior Full-Stack Engineer specializing in Healthcare IT and FinTech

5y exp

“Built and shipped a production LLM-powered incident assistant integrated with monitoring, logs, and metrics systems that reduced triage time by 30–40% and improved MTTR. Stands out for a strong reliability-first approach to agent design, including deterministic orchestration, strict schemas, fallback flows, grounding checks, and safeguards for messy operational data.”

“Banking-focused full-stack engineer who has owned products from requirements through deployment, including a transaction review dashboard and an AI-assisted search tool for internal support teams. Brings a strong mix of React/TypeScript, Spring Boot, database performance tuning, and practical LLM/RAG experience with human-in-the-loop safeguards for regulated workflows.”

“Frontend engineer with strong ownership of revenue-critical checkout experiences, including cart, payment, and confirmation flows used across four subscription programs. Stands out for combining architecture, performance optimization, and analytics-driven product thinking—improving load times by 20% and shipping Apple Pay and referral features tied to increased revenue.”

“Doctoral researcher who built an end-to-end deep learning thesis project translating nutritional time-series logs into natural-language behavioral health summaries for users such as Type 2 diabetics. Particularly interesting for AI/ML roles that value research rigor, ambiguity tolerance, and thoughtful evaluation, even though their experience is primarily academic and side-project based rather than production industry systems.”

“Embedded robotics software engineer specializing in C/C++ on ARM controllers, building sensor/actuator drivers and stabilizing real-time control loops under load using RTOS profiling and priority tuning. Strong ROS 2 integrator across microcontrollers and embedded Linux, with hands-on HIL testing (timing fixes, automated fault injection) and distributed robot comms via DDS, plus simulation (Gazebo/Webots) and Docker/CI/CD for reliable deployment.”

“Backend/data engineer with production experience building a SaaS analytics platform: FastAPI-based microservices with Redis caching and reliability patterns (RBAC, retries/backoff, centralized error handling). Also delivered AWS data pipelines (Glue/PySpark to Redshift) and owned real production incidents using CloudWatch/SNS, plus hands-on PostgreSQL query tuning on multi-million-row reporting workloads.”

“Backend engineer with experience evolving a real-time transaction and rewards processing platform from a tightly coupled architecture into domain-based microservices. Uses REST plus Kafka for synchronous vs. asynchronous workflows, and builds Python/FastAPI APIs with Pydantic contracts, Docker/Kubernetes deployments, and JWT/OAuth-based security; has also supported analytics/dashboard use cases (Power BI).”

“LLM/RAG engineer with production deployments in highly regulated domains (Frost Bank and GE Healthcare). Built secure, explainable document-grounded Q&A systems using LoRA fine-tuning, strict RAG with confidence thresholds, and citation-based responses; also established evaluation/monitoring (golden QA sets, hallucination tracking, drift) and achieved ~40% latency reduction through retrieval/prompt tuning.”

“Full-stack engineer focused on enterprise, cloud-native microservices—building Spring Boot backends and React/Angular front ends with strong security (OAuth/JWT), AWS infrastructure (RDS/S3), and containerized deployments (Docker/Kubernetes). Has delivered data-heavy order/account/transaction platforms and healthcare solutions including EHR integrations for secure patient data exchange, with emphasis on testing, performance tuning, and reliability (load testing).”

“Backend engineer who built an e-commerce order processing service in Python/Flask with PostgreSQL, focusing on correctness and reliability (idempotency, Redis locks, async payment processing with circuit breakers). Also integrated an ML recommendation system as a separate FastAPI inference service with caching and async embedding updates, reporting ~25% CTR lift, and has experience with multi-tenant isolation using PostgreSQL row-level security.”

“Built a production AI-driven contract/document extraction system combining OCR, normalization, and LLM schema-guided extraction, orchestrated with PySpark and Azure Data Factory and loaded into PostgreSQL for analytics. Emphasizes reliability at scale—using strict JSON schemas, confidence scoring, targeted retries, and multi-layer validation to control hallucinations while processing thousands of PDFs per hour—and partners closely with non-technical business teams to refine fields and deliver usable dashboards.”

“JavaScript/TypeScript engineer with proven open-source impact: delivered a major reliability upgrade to a retry/error-handling library (standardized typed errors, added exponential backoff, expanded Jest tests, and implemented GitHub Actions CI) that was merged and released. Demonstrates strong performance engineering and debugging skills (profiling-driven optimization; diagnosed a race condition causing inconsistent retries) plus a documentation-first approach to developer experience.”

“Frontend-focused engineer who built a reusable React component library (documented in Storybook) to standardize and speed up UI development across teams at Ikea, including a configurable, high-performance order list component. Also demonstrated end-to-end ownership in an unstructured environment at First Citizens Bank by defining API contracts and delivering backend services with caching and monitoring.”

“AI/ML engineer with healthcare domain depth who led a HIPAA-compliant, production LLM system at McKesson to automate clinical document understanding—extracting entities, summarizing provider notes, and supporting authorization decisions. Hands-on across Spark/Python ETL, Hugging Face + LoRA/QLoRA fine-tuning, RAG, and cloud-native MLOps (Airflow/Kubernetes/Step Functions, MLflow, blue-green on EKS/GKE), with explicit work on PHI handling and hallucination reduction.”

“Built an end-to-end Alexa smart-home IoT application controlling a Wi-Fi bulb, including ESP32 firmware (MQTT) and an AWS serverless backend (IoT Core/Device Shadow, Lambda, DynamoDB) with a REST API. Demonstrates strong real-time scalability patterns (streaming ingestion, stateless processing, partition-key design) and full-stack delivery with Spring Boot + React (JWT auth, CORS, data-heavy dashboards).”

“Backend engineer who has delivered large, measurable performance wins (10x throughput, 67% latency reduction) by combining Flask microservices, Redis caching, and AWS autoscaling/observability. Has hands-on depth in SQLAlchemy/Postgres optimization and production scaling pitfalls (cache consistency, connection exhaustion), plus experience deploying real-time ML inference (XGBoost) on AWS Lambda and building secure multi-tenant Kubernetes isolation.”

“Backend engineer with experience at Roche and Jarsy focused on API and data-layer performance. Re-architected slow generalized endpoints into more efficient APIs (30% faster lookups) and led a schema refactor/migration with feature-flag rollout, dual writes, rollback scripts, and automated integrity checks; also addressed pipeline duplicate-entry issues via deduplication.”

“QA tester with end-to-end ownership of feature/module quality across the full development lifecycle (kickoff through release validation), using Jira/TestRail and disciplined triage workflows. Cites catching a critical data mismatch before release and a reproducible HUD/UI update defect supported by video and system logs; has not yet shipped a AAA title but has comparable production QA processes.”

“QA engineer with 4+ years testing UX/UI for enterprise, data-driven and legacy platforms (including Dell Technologies), partnering closely with developers/product/business through Agile sprints. Experienced validating end-to-end behavior across UI, REST APIs (Postman), and databases (SQL), and automating regression with Selenium Java/TestNG. Notable work includes diagnosing search ranking/pagination issues by correlating UI behavior with API responses and metadata consistency.”

“Infrastructure/DevOps engineer (Vidmob) focused on AWS + containers, owning GitLab CI/CD and Terraform-managed environments. Led a high-impact CI incident by correlating runner queue time, Docker pull latency, and NAT egress; implemented ECR pull-through caching and VPC endpoints to restore performance and then standardized the fix in Terraform for future scale-ups.”