Vetted C# Professionals

Rami Jaloudi

Screened

Senior Applications Engineer specializing in legal technology and eDiscovery

New York, NY16y exp

“Early-stage founder candidate exploring an AI-enabled legal tech startup focused on document intelligence, secure workflows, and enterprise automation. Brings a rare blend of technical architecture fluency and product/business thinking, with clear firsthand insight into legal and document-heavy operational pain points.”

Michael Yeung

Screened

Mid-level Software Engineer specializing in FinTech trading platforms

San Francisco, CA4y exp

“Built and deployed internal trading tools at Wells Fargo that reduced manual production-support dependency for trader configuration workflows. Brings hands-on experience in financial systems, data quality, and production incident resolution, including building 400+ SQL validation rules and designing an internal RAG assistant for engineering documentation.”

VINAY KUMAR VIPPALA

Screened

Mid-level Software Engineer specializing in FinTech backend systems

Seattle, WA5y exp

“Full-stack product engineer with hands-on ownership from React UI through Spring Boot APIs and SQL data layers, focused on transaction-heavy fintech workflows. Built both a transaction reconciliation system and a 0-to-1 AI-based anomaly detection workflow at LeisurePay, combining performance-minded frontend engineering with pragmatic product delivery.”

“Founding engineer at an edtech startup who combines hands-on engineering leadership with advanced AI-native development workflows. They’ve built an AI grading pipeline and a multi-agent SDLC tool, and stand out for treating AI agents like an engineering team with planning, parallel execution, QA, and rigorous validation.”

Michael Boaz

Screened

Senior Software Developer specializing in cloud-native and event-driven architecture

Atlanta, GA24y exp

“Built and shipped production LLM/agent systems on AWS for internal developer support and IT observability use cases, including a Claude-based support tool grounded in internal documentation and a cost-optimized ServiceNow integration. Stands out for combining agent design, cloud architecture, CI/CD, chaos testing, and observability to make non-deterministic systems reliable and maintainable in production.”

“Pragmatic AI-focused builder who uses tools like ChatGPT and Claude to accelerate development while maintaining strict review, testing, and architectural ownership. Has hands-on experience designing lightweight multi-agent workflows, including a RAG-style system with separate retrieval and response roles, and approaches new AI trends through direct experimentation rather than hype.”

“Engineering leader with 8+ years across IoT, emergency messaging, and political campaign data science, including operating a massive IoT microservices platform at several million devices and roughly 200 million requests per minute. Particularly strong in retrofitting legacy systems for modern observability using OpenTelemetry, Honeycomb, and Grafana LGTM, while also managing distributed international teams and developing engineers into senior and tech lead roles.”

“Backend engineer with experience at HSBC and Machinations who has delivered major production performance wins (cutting large trade-file upload times from ~13–15s to ~2s) using chunked parallel processing with strong reliability controls. Also built and shipped an applied AI RAG workflow using Langflow + Cohere embeddings + FAISS with hosted/local LLM fallbacks (Hugging Face, Ollama) and production-grade guardrails, observability, and evaluation.”

“Growth-stage startup engineer with strong end-to-end ownership across React, Java/Spring Boot, MySQL, and cloud deployment. They led workflow automation products that replaced manual operational processes, improved efficiency and reliability, and evolved the platform into a more configurable B2B workflow system shaped by user feedback.”

“Built and deployed an LLM-powered customer support assistant (“Notable Assistant”) focused on automating common post-customer queries while maintaining multi-turn context and meeting scalability/latency needs. Experienced with production orchestration and operations using Kubernetes and Apache Airflow (DAG-based ETL, scheduling, monitoring/alerts), and has partnered closely with customer service stakeholders to align chatbot behavior with brand voice through iterative testing.”

“Applied NLP/ML engineer with experience at KeyBank and Novartis building production document intelligence and entity-resolution systems in finance and healthcare. Has delivered end-to-end pipelines (Airflow + AWS) using transformers (DistilBERT/Sentence-BERT), vector search (FAISS/Milvus/Pinecone), and human-in-the-loop labeling to achieve measurable gains (40%+ faster queries; up to 88% F1 and 93% precision/90% recall in entity linking).”

“Computer science capstone project: built a UE5 VR campus virtual-tour simulator using Blueprint scripting, including trigger-box interactions that display building/department info. Spent significant time in QA/playtesting to reduce motion sickness and improve UX, and handled a challenging asset pipeline by converting/optimizing high-detail AutoCAD/scan-derived building models via Blender—ultimately creating a custom plugin to help with conversion.”

“Backend/data engineer with hands-on production experience building reliable Python FastAPI services on Kubernetes and delivering AWS EKS + Terraform CI/CD with strong secrets isolation and rollback practices. Also built AWS Glue ETL pipelines into S3/Redshift with schema-evolution handling and data-quality controls, modernized legacy analytics into modular Python services with parallel-run parity validation, and has demonstrated SQL tuning impact (minutes to seconds) plus ownership of batch pipeline incidents end-to-end.”

“Unity/C# developer with hands-on ownership of a core, sample-accurate audio looping system for an audio-driven game, including syncing multiple tracks and driving character animations from audio events. Also has mocap animation cleanup/blending experience, broad exposure to multiplayer stacks (Photon/Mirror/Unity Netcode/gRPC), and is currently exploring local/on-device LLM gameplay integration with a focus on designing around latency.”

Andrew Sheehan

Screened

Executive engineering leader specializing in enterprise architecture and digital transformation

27y exp

“Candidate has spent years working with startups across various industries and has been involved in multiple stages of company building, including hiring, technology choices, and budgeting. They appear especially oriented toward operational discipline, cost control, and evaluating ideas through structured cost, time, and value analysis.”

Mike Bagley

Screened

Senior Unity Developer specializing in games, WebGL, and XR

Rogers, AR19y exp

“Unity/C# gameplay engineer with unusually broad hands-on range: built a reusable FSM and visual state editor at EA that was applied to AI, meta systems, multiplayer conversion, and console TRC flows, including first-pass Sony/Microsoft/Nintendo certification. Also spans LLM-assisted narrative systems, multiplayer networking, UWP/VR porting, and even arcade hardware/software integration down to designing and hand-building a wiring harness to hit a trade show deadline.”

“QA automation engineer with Silicon Valley Bank experience owning end-to-end test automation for customer onboarding and payments. Built a hybrid framework (Playwright UI, REST Assured API, Python + SQL backend validation) integrated into Azure DevOps CI/CD with PR gating and nightly regressions, catching high-risk issues like silent API contract breaks and missing payment ledger entries before release.”