Vetted C# Professionals

Devang Borkar

Screened

Mid-level AI Engineer specializing in LLM agents and evaluation systems

California, USA4y exp

“Built an end-to-end Python integration for an emotion-aware presentation feedback system that processed uploaded or live video and analyzed facial emotion, tone, and gestures. Also has Playwright automation experience in a loan management workflow, with emphasis on reliability, observability, security, and iterative delivery under ambiguous requirements.”

Harika M

Screened

Mid-level Full-Stack Developer specializing in FinTech and enterprise platforms

Plano, TX6y exp

“Engineer with a pragmatic, production-focused approach to AI-assisted development, using tools like Copilot and ChatGPT to accelerate coding while maintaining strict validation for correctness, security, and performance. Particularly notable for building a multi-agent incident-resolution workflow for a financial platform, with specialized agents for log analysis, root cause identification, fix suggestions, and test generation.”

“Built an itinerary-planning startup MVP (LessGO) using React/TypeScript and a Node/Express backend integrating Google Maps and Gemini AI. Notably optimized Gemini latency from ~40 seconds to ~3 seconds through frontend caching, debugging, and model selection, and has TA experience supporting others with deployments and database connectivity.”

rhema junapudi

Screened

Mid-level Full-Stack Developer specializing in cloud-native healthcare and insurance platforms

Albany, OR3y exp

“Full-stack engineer with healthcare and claims-domain experience who has shipped AI-assisted documentation and fraud-scoring systems using Angular, ASP.NET Core, OpenAI APIs, and ML tooling. Stands out for building compliance-aware, traceable agentic architectures with graceful degradation, and for a nuanced understanding of AI failure modes in production.”

“Backend-leaning full-stack engineer who has shipped both enterprise workflow software and AI-powered document intelligence products. Stands out for combining practical product judgment with strong production debugging skills across Spring Boot, GraphQL, FastAPI, vector search, and RAG systems, and for improving adoption by making AI search experiences intuitive for non-technical users.”

“Founder of Snazified Inc., a multi-tenant ATS startup, where they led a 5-person remote engineering team and built AI-powered workflow features that reportedly drove 75% sales growth and 90%+ customer retention. They also launched a separate subscription profile platform with React/Node, AI resume tools, and job aggregation, reaching 50 paying subscribers shortly after launch.”

Joshua Newell

Screened

Senior Software Engineer specializing in embedded systems and secure communications

Remote, USA14y exp

“Engineer with experience in defense and aerospace-adjacent software, including serving as lead engineer on an SBIR contract for a Space Force warfighter communication system. Has hands-on full-stack experience improving a flight test sensor management application with React, Perl, and Oracle SQL, plus recent systems work in Rust observability and Go-based secure communications integration.”

Alex Guzman

Screened

Principal Software Engineer specializing in cloud infrastructure and identity systems

Denver, CO17y exp

“Senior backend-leaning engineer with experience spanning an 8-person early-stage startup and production microservices environments. They helped deliver an MVP for a fintech/charitable donations product by building a resilient abstraction API across multiple rewards vendors, and more recently maintained Go services at scale with Kubernetes autoscaling for workloads reaching roughly 1 million requests per day.”

Julian Lobeto

Screened

Senior Unity Engineer specializing in multiplayer mobile games

Argentina10y exp

“Unity gameplay engineer with strong multiplayer and live-service experience across Android, iOS, and PC. Particularly notable for architecting a configurable FTUE/tutorial framework that empowered designers to iterate without engineering support, and for deep hands-on work with Photon Quantum deterministic networking, including desync/checksum debugging and authoritative server integration.”

“Backend engineer focused on Node.js (Express/Fastify) and MongoDB who designed a multi-stage bill-approval workflow system for a manufacturing company, emphasizing RBAC, auditability, and scalability across multiple factory units. Also improved system robustness by catching a MongoDB connection leak in an Excise department project and has experience executing low-risk, incremental backend refactors with monitoring and rollback.”

“Backend/data platform engineer who owned end-to-end production services for a fleet analytics/GenAI platform, spanning FastAPI microservices on Kubernetes and AWS (EKS + Lambda) event-driven workloads. Strong in reliability/observability (OpenTelemetry, circuit breakers, idempotency), data pipelines (Glue/Airflow/Snowflake), and measurable performance/cost wins (SQL 10s to <800ms P95; ~30% compute cost reduction).”

“Frontend engineer who has led React + TypeScript products end-to-end, emphasizing scalable architecture (custom hooks, compound components) and quality via strict typing, CI, and code review standards. Experienced shipping complex multi-step workflows with strong performance practices (virtualization, code splitting, RUM) and de-risked rollouts using feature flags, monitoring, and rapid iteration in collaboration with product/design.”

“Backend/web API engineer with hands-on experience deploying .NET Core APIs to Azure App Service and stabilizing production systems through disciplined log-driven troubleshooting, environment configuration management, and SQL performance tuning (execution plans, query rewrites, indexing). Has also debugged cross-layer incidents involving DB locks and network latency, and modifies Python/XML automation scripts to meet customer-specific requirements while improving logging and performance.”

“LLM/agent builder who has shipped production AI systems in the wellness space, including an LLM-powered food tracking product used by 5000+ users and a voice/call-routing onboarding workflow using LangGraph/LangChain with LiveKit and Twilio. Strong focus on practical reliability work: latency reduction, retrieval/embedding tuning, and CI-driven evaluation with simulations and metrics.”

“Frontend engineer with experience delivering complex, data-heavy React + TypeScript dashboards in financial services (Morgan Stanley), including React 18 migration and rigorous quality practices (~80% test coverage). Also improved an existing collaboration product (Heycollab) by reducing duplication and boosting performance ~30% using component modularization, API optimizations, code splitting, and virtualization; experienced with phased rollouts and feature flags for risk-sensitive releases.”

“Software engineer with experience across data engineering and backend/platform work: owned a Databricks/PySpark real-time pipeline powering customer dashboards with a 15-minute SLA, and helped modernize an investor web app from JSP to React/TypeScript with API + SQL/materialized-view performance improvements. Also contributed to breaking a Java monolith into microservices (Redis + gRPC on AWS EKS) and built an EC2-deployed Play Store/App Store crawler that reduced third-party data costs.”

“Robotics software engineer who built the software layer for an autonomous warehouse sorting system, spanning navigation/path planning, task scheduling, and backend services. Deep hands-on ROS 2 Foxy experience (Nav2/costmaps) and real-time multi-robot debugging, using simulation-driven analysis plus incremental/partial re-planning to handle dynamic obstacles in production-like warehouse environments.”

“Built a live free-to-play web-based financial market simulation game (YouTube-channel stock market) as a hobby project, now serving 3000+ users. Implemented core F2P systems including gacha, timed progression gates, and analytics-driven monitoring of engagement and economy health using a TypeScript/Python stack with Redis and Postgres.”

“JavaScript/Node.js engineer with open-source contribution experience (Mongoose) focused on connection pooling, test reliability, and memory/resource management. Has diagnosed and fixed real-world performance issues in an insurance claims application and improved resilience via failover DB design. Also experienced producing compliance/governance documentation for an EU-based biopharma, enabling stakeholders to make decisions quickly amid changing regulations.”

“Unity developer with experience shipping on Meta Quest, tackling VR constraints through disciplined shader/particle usage and a custom rendering approach that only draws visible quads. Builds systems with cross-platform portability in mind via abstraction layers (input/networking/UI) and is currently developing a 2D visual novel/strategy prototype emphasizing decoupled architecture and ScriptableObject-driven events.”

“QA engineer with Citibank experience owning mobile automation and cross-platform validation (Android/iOS), including push notifications, RBAC, and backend API/data sync checks. Demonstrates strong Cypress/JavaScript E2E expertise—stabilizing CI-flaky React tests via cy.intercept—and builds pragmatic GitLab CI pipelines with smoke/regression gating plus rich reporting (Cypress Dashboard, Slack).”

“Backend/full-stack engineer from Foxconn Industrial Internet who led development of a production TypeScript/Node.js facility monitoring platform delivering near real-time manufacturing metrics (e.g., downtime and OEE) using MySQL + InfluxDB and a React dashboard. Demonstrates strong production operations mindset with queue-based workers, idempotency/DLQ patterns, structured observability, and automated Docker + GitLab CI/CD deployments.”

“Built and launched a personalized sprint-planning dashboard to reduce recurring planning friction, choosing a simple, reliable scoring approach over a complex model. Iterated based on team feedback (more control, dependency clarity, performance), achieving a reported 20% drop in task spillovers; transparent about not yet shipping production LLM/RAG features but actively learning.”

“Built and shipped production RAG-based LLM agents automating multi-step document query workflows, emphasizing reliability via monitoring, retries, structured exception handling, and fallback retrieval (alternative embeddings/keyword search). Demonstrated measurable gains (18% latency improvement, 25% retrieval efficiency, 12% precision) and has experience integrating agents with messy tax and transaction data at RSM using validation/cleaning and idempotent design.”