Vetted C# Professionals

Pre-screened and vetted.

AN

Director-level program leader specializing in digital transformation and Agile delivery

Springfield, MA14y exp
Language Bridge, LLCBoston College

Founded the Advanced Technology Team at XPO Logistics, a Fortune 500 transportation and logistics company, and worked closely with the investment team on technology demos and presentations. Especially motivated by zero-to-one company building, with a clear framework for assessing new ideas through differentiation and fast validation.

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MD

Mikeal Day

Screened

Executive Engineering Leader specializing in SaaS, FinTech, and AI

Seattle, WA21y exp
Nu Day ResourcesMontana Technological University

Startup-oriented product/technology leader targeting CTO roles, with experience evaluating and scoping high-impact product expansions. At Crelate, helped assess and shape a contract timekeeping/invoicing initiative that expanded TAM by hundreds of millions and increased ACV 2-3x, contributing to successful market traction and the company’s path to Series C.

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Gnaneswar Markat - Mid-level Software Engineer specializing in cloud-native distributed systems in Charlotte, NC

Mid-level Software Engineer specializing in cloud-native distributed systems

Charlotte, NC4y exp
Bank of AmericaUniversity at Buffalo

Full-stack engineer with Bank of America experience building and owning a customer portfolio dashboard end-to-end, from requirements through launch and ongoing iteration. They combine React/Spring Boot/PostgreSQL implementation with strong performance tuning, real-time data handling, and UX improvements, and cite adoption by roughly 12,000 active internal users.

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DF

Staff Machine Learning Engineer specializing in NLP, LLMs, and document intelligence

Austin, TX9y exp
PNCUniversity of Cincinnati

ML/AI engineer at PNC who has shipped enterprise-grade RAG and document intelligence systems for compliance and policy workflows. Stands out for combining LLM product thinking with production rigor—owning FastAPI/Kubernetes deployments, monitoring, evaluation, and human-feedback loops that drove measurable gains like 40% faster policy search and 30% faster compliance review.

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RM

Rahul Manne

Screened

Mid-level Software Engineer specializing in .NET, Azure, and enterprise platforms

New Brunswick, NJ4y exp
Johnson & JohnsonClark University

JavaScript/React/TypeScript engineer with hands-on open-source experience improving a hooks utility library—fixed a reported async race condition that reduced unexpected re-renders and added a debounced callback hook that became widely used. Brings a production-minded approach to performance and abstractions (APM/metrics-driven, DB/caching focus) with strong testing, documentation, and community support practices.

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SB

Mid-level Software Engineer specializing in backend APIs and testing

Fort Wayne, IN4y exp
Shambaugh & SonPurdue University

Backend-focused engineer who uses AI tools pragmatically for rapid development while staying deeply attentive to concurrency, deadlocks, and system reliability. Built foundational AI retrieval architecture for MastadonTutorAI using ChromaDB and RAG pipelines, and is especially interested in applying multi-agent systems to automate complex backend testing and root-cause analysis.

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HG

Mid-level Software Engineer specializing in AI and FinTech platforms

Seattle, WA5y exp
DreamStudioUniversity of Washington

LLM/agentic systems practitioner who specializes in moving demo-only assistants into reliable, observable, cost-controlled production services. Strong in real-time diagnosis of complex agent workflows (including tracing, loop detection, and guardrails) and in customer-facing enablement—running workshops, building tailored PoCs, and partnering with sales to close deals by proving reliability in high-risk pilots.

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AG

Aditee Gaddam

Screened

Mid-level Full-Stack Software Engineer specializing in cloud and AI systems

United States3y exp
SyscoGeorge Mason University

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.

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Yuanmu Li - Junior Software Engineer specializing in full-stack web applications in Sunnyvale, CA

Yuanmu Li

Screened

Junior Software Engineer specializing in full-stack web applications

Sunnyvale, CA2y exp
WalmartPenn State University

Full-stack product engineer in the health and wellness space who has owned prescription workflow features end to end, including React/TypeScript frontend work and GraphQL-backed API aggregation across messy downstream systems. Also shipped an internal OpenAI-powered support assistant with grounded context, structured outputs, validation, and human-in-the-loop safeguards—showing strong practical judgment at the intersection of healthcare workflows and applied AI.

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BD

Brooks DuBois

Screened

Senior Full-Stack Engineer specializing in web platforms across FinTech and automotive

Bridgeport, CT8y exp
FreelanceKeene State College

Frontend engineer with production experience at UWM and Ford.com, focused on complex UI architecture, dynamic form systems, and high-performance interactive experiences. Stands out for rebuilding problematic React/Redux patterns into reactive RxJS-driven architectures, with measurable wins like reducing an 8-second, 5,000-request widget to a fast, stable experience, and for also building advanced personal projects in Solid.js, mapping, and WebGL.

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DB

Devasis Bassu

Screened

Executive Technology Leader (CTO) specializing in AI/ML, cloud platforms, and insurance underwriting

Remote28y exp
Joyn InsuranceUniversity of Maryland, Baltimore County

Insurtech R&D leader turned CTO with 25+ years across telecom, DoD, automotive, and commercial insurance. Built patented AI-driven insurance document ingestion (>95% accuracy with 1–3 samples) and led Azure-based backend/service development while managing up to 15 engineers at a commercial P&C MGA that reached a ~$60M book of business (~30 loss ratio) before run-off due to paper issues. Known for hands-on discovery (including field inspections) and rapid MVP delivery, including a risk-inspection iPad app that auto-generated draft reports.

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SK

Mid-Level Software Engineer specializing in FinTech microservices and AI automation

New York City, United States3y exp
Bank of AmericaNJIT

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).

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FT

Felix Thiel

Screened

Senior VR/3D Software Engineer specializing in Unity and real-time graphics

9y exp
3D Repo LTDUCL

Unity/VR developer and PhD researcher who served as lead developer on a clinical VR application (VheaRts) used by surgeons at Great Ormond Street Hospital, taking over a messy codebase and rebuilding its architecture, documentation, and extensibility. Also built research-focused Unity VR experiments (e.g., change blindness in a dynamic living room) with sophisticated logic to control participant attention while monitoring physiological cues.

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AS

Aditya Sairam

Screened

Mid-Level Software Engineer specializing in cloud data platforms and AI search

Troy, MI6y exp
Robotics Technologies LLCCleveland State University

Open-source JavaScript contributor focused on data visualization, extending Chart.js/React with custom plugins for real-time streaming dashboards. Designed an end-to-end telemetry pipeline using Apache Kafka and Azure Cosmos DB, optimizing partitioning, batching, caching, and client throttling to keep latency low and support thousands of concurrent users. Demonstrates strong ownership in fast-changing environments, including building full-stack AI applications and ingestion/ETL pipelines at Robotics Technologies LLC.

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PV

Mid-level Full-Stack Java Developer specializing in cloud-native microservices

Texas, USA5y exp
Capital OneAuburn University at Montgomery

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).

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KS

Kumud Sharma

Screened

Mid-level Full-Stack Software Engineer specializing in cloud-native microservices and AI integrations

USA6y exp
IntuitIndiana University

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.

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AP

Mid-level Full-Stack Java Developer specializing in cloud-native microservices

USA4y exp
Epic SystemsWebster University

Full-stack Java developer with IBM and Epic Systems experience modernizing legacy enterprise apps into microservices and delivering customer-facing healthcare claims workflows at very high scale (2M+ transactions/day). Strong blend of product engineering (APIs + React/TypeScript UI) and production operations on AWS, including performance incident remediation via query optimization, indexing, and autoscaling.

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RG

Rohan Gore

Screened

Intern AI/ML Engineer specializing in agentic systems and full-stack development

New York City, NY0y exp
MARV CapitalNYU

Built and scaled a multi-agent LLM automation pipeline during a fintech internship, growing from a rapid 1-week proof-of-concept to a 15+ agent hierarchical system that cut market brief report generation time from ~5 hours to under 30 minutes. Hands-on with agent frameworks (Haystack, CrewAI, LangChain) and experienced in debugging agent communication issues via sandboxed modular testing and context/token management; also regularly gives architecture-first technical demos at multiple hackathons and university events.

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SR

Saketh Reddy

Screened

Mid-Level Software Development Engineer specializing in full-stack and LLM/AI systems

CA, USA4y exp
JPMorgan ChaseUniversity of Central Missouri

AI engineer with hands-on production experience building an end-to-end RAG system that reduced document-answering time from hours to minutes, improving accuracy through chunk overlap and hybrid BM25+semantic retrieval. Also built a LangGraph-based agent that researches company financial news via web search (Google Serper), using Pydantic structured outputs and checkpointing for reliability; experienced collaborating with non-technical stakeholders at JPMC and communicating ROI.

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CR

Mid-level Full-Stack Developer specializing in cloud-native microservices and distributed systems

Phoenix, AZ4y exp
ServiceNowWestern Illinois University

Software engineer with hands-on ownership of both fintech checkout improvements (saved payment methods/one-click checkout with tokenization and feature-flag rollouts) and production LLM/RAG systems for customer support. Demonstrates strong operational rigor via guardrails, evaluation loops integrated into CI/CD, and scalable data pipelines handling messy PDFs/CSVs/logs with reliability and observability.

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KS

Mid-level Full-Stack Software Engineer specializing in AI platforms and cloud microservices

Middletown, DE3y exp
VibeSea AIUSC

Distributed-systems engineer applying robotics-style patterns to software: built "Vibecheck," a high-throughput real-time video + OS-telemetry fusion and analysis system (500+ MB/session) with strict latency constraints. Strong in containerization and CI/CD (Docker, GitHub Actions) and in designing fault-tolerant, event-driven architectures (Kafka/RabbitMQ), plus hands-on debugging of multi-agent coordination using blackboard + watchdog/circuit-breaker control patterns.

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Kyle Holmquist - Senior Gameplay Engineer specializing in Unity/Unreal gameplay, AI, and narrative systems

Senior Gameplay Engineer specializing in Unity/Unreal gameplay, AI, and narrative systems

11y exp
Electronic ArtsCal State Chico

Game developer with 13 years in the games industry who built a Unity VR feature using machine learning to recognize player-drawn spell symbols, training an accurate neural network from an existing dataset and solving tricky screen-space/world-space input constraints. Actively uses AI assistants for targeted code snippets and code review while emphasizing understanding over "vibe coding," and is interested in expanding into multiplayer/networking.

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Shaun Ames - Senior Unreal Engine Game Developer specializing in multiplayer systems and VR in California, United States

Shaun Ames

Screened

Senior Unreal Engine Game Developer specializing in multiplayer systems and VR

California, United States9y exp
Narsun StudiosUniversity of South Alabama

Gameplay/network systems developer with shipped experience at Narsun Studios and Volition, including end-to-end ownership of a custom multiplayer session system for a VR title built on Unreal Online Subsystem with dedicated servers on AWS GameLift and PlayFab backend. Strong in profiling-driven optimization, scalability/load testing, and data-driven progression/balance (GAS), with telemetry-led changes that improved retention by ~20%.

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DR

Senior Unity Developer specializing in mobile game systems, performance, and live ops

Belgrade, Serbia9y exp
MY.GAMESBashkir State University

Unity/C# mobile game engineer based in Belgrade who has owned and shipped complex meta-systems (shop/battle pass/tournaments) and real-time PvP using Photon, with a strong focus on performance (profiling, memory/GC, draw calls) and live stability. Notably handled a China launch by abstracting regional SDKs behind DI-based interfaces and using Addressables for localized assets, keeping the global codebase clean while maintaining high performance.

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