Vetted C# Professionals

Pre-screened and vetted.

YL

Yihua Liao

Screened

Senior Software Engineer specializing in Unity game development

RedWood City, CA7y exp
DreamCraftWuhan University of Science and Technology

Game developer with experience on DreamCraft and KartRider Rush+, focused on Unity/C# gameplay systems, AI behavior, and multiplayer synchronization. Stands out for building a modular character customization system shared across teams and for tuning AI karts to feel more human while supporting different player skill levels.

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Pahuldeep Singh - Senior Full-Stack Developer specializing in scalable web platforms and automation in Remote

Senior Full-Stack Developer specializing in scalable web platforms and automation

Remote6y exp
CalianGeorgia Tech

Backend/full-stack engineer focused on TypeScript/Node.js systems, with hands-on ownership of a real-time telemetry and dashboard platform built on Kafka, Debezium, PostgreSQL, and GraphQL. Stands out for combining event-driven architecture, correctness/idempotency patterns, strong observability, multi-tenant security, and developer-friendly API design in production environments.

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Anirban Ghosh - Mid-level Machine Learning Engineer specializing in data science and cloud systems in Seattle, WA

Anirban Ghosh

Screened

Mid-level Machine Learning Engineer specializing in data science and cloud systems

Seattle, WA4y exp
AmazonStony Brook University

ML engineer who independently pitched and built a recommendation engine at Danske Bank in a legacy fintech environment, creating compliant data pipelines and deployment infrastructure from scratch and delivering a 62% engagement lift with 70%+ advisor adoption. Also worked at AWS on classification and GenAI-powered reporting systems, with strengths spanning production ML, platform setup, monitoring, and research-to-production optimization.

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Chaitanya Prasad Reddy Narala - Mid-level AI/ML Engineer specializing in FinTech risk and fraud systems in USA

Mid-level AI/ML Engineer specializing in FinTech risk and fraud systems

USA4y exp
ServiceNowSaint Louis University

Senior AI/ML engineer focused on production LLM systems, combining RAG, fine-tuning, distributed training, and AI safety to ship scalable real-time moderation and conversational AI platforms. Stands out for pairing deep AWS/Kubernetes MLOps expertise with measurable impact: 40% lower latency/cost, 30-50% fewer hallucinations, and major reliability gains through observability and automation.

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Sergio Nunez - Senior Unity Engineer specializing in XR, mobile, and AI avatar experiences in Los Angeles, CA

Sergio Nunez

Screened

Senior Unity Engineer specializing in XR, mobile, and AI avatar experiences

Los Angeles, CA9y exp
GeniesCETYS University

Unity/C# game engineer from Genies who built the avatar wearable customization system for Silver Studio and supported AI companion features through client-side LLM integrations. Stands out for combining clean architecture, analytics-driven product thinking, and practical optimization work across latency, AI cost controls, and mobile performance.

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MS

Mihir Sahu

Screened

Intern software engineer specializing in AI, full-stack, and applied ML

Madison, WI1y exp
Capital OneUniversity of Wisconsin–Madison

Backend/ML-focused engineer with experience spanning fintech, sales enablement, and medtech, including a Capital One capstone and a Singapore medtech startup internship. Stands out for owning end-to-end AI/backend systems, from a GenAI sales pitch platform that cut prep time by 50% to an ultrasound-guidance MVP for non-expert operators in a highly ambiguous domain.

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SZ

Director of Software Engineering specializing in platform modernization and enterprise systems

Austin, TX24y exp
ClearAjnaGovernors State University

Engineering leader with experience owning product engineering strategy, architecture, and org scaling across hospitality/workforce management and insurance startup environments. They describe being brought in to help Fourth Inc. revamp engineering for large-scale enterprise customers, while also scaling teams at The Zebra and staying hands-on with production monitoring, performance analysis, and cross-team architectural execution.

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SL

Sabrina Liu

Screened

Junior Robotics & ML Engineer specializing in robot learning and simulation

Ithaca, NY2y exp
Cornell Center for Teaching InnovationCornell University

Robotics engineer with a 2024 internship building an end-to-end software stack for an autonomous humanoid robot that follows natural-language audio commands to make coffee and deliver snacks, including perception (OpenCV), mapping, and ROS Navigation. Also contributing to a robotics foundation model effort by building data preprocessing pipelines using GroundingDINO and SAM2, and has multi-robot coordination experience with algorithms designed to handle real-world communication drops.

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RP

Raj Patel

Screened

Mid-level Full-Stack Software Engineer specializing in cloud-native web applications

Canton, Michigan3y exp
DiscoverUniversity of Michigan

Backend engineer with hands-on experience scaling a Python/Flask incident-logging platform processing thousands of daily logs. Strong in performance tuning (PostgreSQL/SQLAlchemy query optimization, partitioning, summary tables) and reliability patterns (Redis caching, Celery background workers, Docker + Jenkins CI/CD), with some multi-tenant data isolation experience via separate DBs/schemas.

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DB

Junior Software Engineer specializing in game development and QA automation

Los Angeles, CA1y exp
SASUSC

Early-career technologist with internship experience deploying and fixing production/demo service configurations despite poor documentation, using step-through debugging and prior demo references to restore progress quickly. Also has hands-on IT technician experience diagnosing hardware failures (hard drive damage), recovering files, and replacing drives, plus QA test development in Python for customer-reported bugs and a strong focus on networking (monitoring, IP activity analysis).

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JV

Mid-level Generative AI Engineer specializing in enterprise RAG and multimodal NLP

Iselin, NJ5y exp
Wells FargoSt. Francis College

Built and deployed a production LLM/RAG chatbot at Wells Fargo for securely querying regulated financial and compliance documents, emphasizing low hallucination rates, explainability, and strict governance. Experienced with LangChain multi-agent orchestration plus Airflow/Prefect pipelines for ingestion, embeddings, evaluation, and retraining, and partnered closely with compliance/operations to drive adoption through demos and feedback-driven retrieval rules.

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SG

Mid-Level Software Engineer specializing in secure cloud microservices and FinTech

Remote, USA4y exp
BrexSyracuse University

Built and owned major parts of a real-time distributed AI fraud-detection pipeline (ingestion, inference microservice integration, and automated action layer), optimizing latency and observability and reducing false positives by ~35%. Understands ROS/ROS2 concepts (nodes/topics/services) and planned hands-on ramp-up via ROS2 pub/sub exercises and Gazebo simulation, but has not worked on physical robots or ROS in production.

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KN

Kimia Naeiji

Screened

Mid-level AI/ML Engineer specializing in robotics perception and AR/VR systems

Remote4y exp
ForterraCornell University

AI engineer with robotics perception experience at Forterra, building and deploying moving-object/obstacle detection models into real-time robot pipelines. Addressed training crashes/latency via sub-batch training and optimizer tuning, and improved debugging using ROS/ROS2 tooling with 3D voxel visualization and color-coded validation.

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BH

Mid-level Digital Forensic Examiner specializing in electronic evidence and platform support

8y exp
Drug Enforcement AdministrationEastern Michigan University

QA professional with Apple experience supporting the macOS Sonoma release, owning daily monitoring of submissions, crashes, regressions, and release verification across multiple OS/device builds. Notably isolated a memory-related issue in the Safari suite that caused an 18-hour build backlog and 156+ test crashes, leading to a Python-script fix that restored build times to ~1 hour and helped keep the release on schedule.

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DJ

Mid-level Full-Stack Developer specializing in cloud microservices and internal tooling

4y exp
The Home DepotUniversity of Central Missouri

LLM/RAG engineer who has shipped production systems in high-stakes domains (fraud analytics at Mastercard and security compliance as a CI/CD gate). Strong focus on reliability: hybrid retrieval for latency, citation-backed outputs for trust, and code-driven eval/regression pipelines using golden datasets. Also built scalable OCR-based ingestion for messy classroom artifacts (handwriting, PDFs, whiteboard photos) using Go/Python and cloud services.

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NB

Nikhil Bagul

Screened

Senior 3D/XR Software Engineer specializing in automotive interactive applications

California, USA9y exp
Lucid MotorsUC Santa Cruz

UE5 UI engineer who built a production-ready, modular training/procedure framework with editor tooling so curriculum designers and technical trainers could author content without Unreal expertise. Deep hands-on ownership across C++/Slate/UMG/CommonUI, including MVVM architecture, cross-platform input/navigation, and rigorous UI profiling/debug tooling that can be stripped from shipping builds.

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Mahesh Kumar Duvvuri - Senior Full-Stack Software Engineer specializing in microservices and cloud-native systems in New York City, NY

Senior Full-Stack Software Engineer specializing in microservices and cloud-native systems

New York City, NY4y exp
JPMorgan ChaseUniversity of Dayton

Backend/infra engineer with experience across Nestle, J.P. Morgan, and Capgemini, combining ML systems work (YOLOv8/PyTorch object detection with TFLite edge deployment) with production-grade cloud/Kubernetes operations. Has delivered measurable impact via AWS migrations (25% cost reduction, 99.9% availability), microservice modernization (35% faster processing), and low-latency Kafka streaming for financial dashboards (<100ms) using DLQs and idempotent consumers.

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Daniel Panrong Dai - Junior Software Engineer specializing in AI and full-stack development in New York, NY

Junior Software Engineer specializing in AI and full-stack development

New York, NY1y exp
Saige ConsultingMcGill University

Consulting-background AI practitioner who led a production LLM pipeline on Snowflake Cortex to map hundreds of thousands of messy OCR/form-based contract fields into standardized Salesforce fields, including confidence scoring and an LLM-driven feedback loop. Strong focus on real-world constraints—token limits, cost control, and evaluation without ground truth—paired with frequent stakeholder-facing progress reporting.

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Subbu Paravatareddy - Engineering Leader specializing in cloud modernization and AI/ML integration in Emeryville, CA

Engineering Leader specializing in cloud modernization and AI/ML integration

Emeryville, CA21y exp
Grocery OutletCalifornia State University, Long Beach

Player-coach engineering leader focused on buyer/distribution product lines, building scalable purchasing/planning frameworks and modernizing workflows. Drove performance and reliability improvements via queue-based async architectures, external API redundancy, and CI/CD automation, and has led production incident response (cache-related) with follow-up playbooks and monitoring. Experienced in high-growth/startup environments, combining hands-on delivery with mentoring, 1:1s, and performance coaching.

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Venkata Phaneendra - Mid-Level Java Full-Stack Developer specializing in cloud-native microservices in United States

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

United States6y exp
State FarmMurray State University

Full-stack engineer with production ownership across React/TypeScript, Node/Express, and Postgres, including zero-downtime releases and rollbackable migrations. Demonstrated measurable performance wins (20% response-time reduction) through DB query profiling and batching, plus hands-on AWS operations (ECS/Lambda/CloudWatch) and reliability patterns for ETL (retries, DLQs, idempotency). Experience shipping microservices quickly in ambiguous, fast-paced environments (Deloitte).

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Harmeet Singh - Senior Game Economy & LiveOps Manager specializing in monetization and progression systems in Remote, Canada

Harmeet Singh

Screened

Senior Game Economy & LiveOps Manager specializing in monetization and progression systems

Remote, Canada9y exp
2KUniversity of Delhi

Game economy/progression designer for PGA titles who owned equipment and attribute progression plus virtual currency sources/sinks end-to-end. Uses quantitative modeling and telemetry (wallet balances, spending ratios) to tune supply/pricing and hit segment-specific business targets (e.g., conversion and completion-rate goals), and aligns stakeholders via KPI-lift projections and tradeoff-driven presentations.

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Rui Cheng - Mid-level Software Engineer specializing in autonomous driving simulation and 3D mapping

Rui Cheng

Screened

Mid-level Software Engineer specializing in autonomous driving simulation and 3D mapping

5y exp
SimForge AIHuazhong University of Science and Technology

Founding software engineer who built an autonomous-vehicle 3D digital twin using Unreal Engine 5 and CARLA, owning core simulator logic (traffic/scenarios/weather) and a ROS 2-based pipeline to record synchronized multi-sensor data (RGB/depth/segmentation/LiDAR/IMU/GPS). Also implemented distributed synchronization patterns (server + client prediction) using FastAPI and WebSockets; seeking roles with H1B transfer and targeting ~$110k.

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Mitchell Samora - Senior Software Engineer specializing in game development and cross-platform apps in Duvall, WA

Senior Software Engineer specializing in game development and cross-platform apps

Duvall, WA19y exp
Supernatural FitnessWestwood College

Client Platform engineer with strong Unity/C# background who built a spec-driven code generation system bridging Unity C# to Kotlin and a React/JavaScript UI layer, reducing feature implementation overhead by hours. Has shipped/implemented networking layers for multiple games (including a mobile MOBA) spanning deterministic action-logging approaches and physics/state sync with latency compensation, and built desync detection to debug divergence. Also prototyped a shared VR/mobile app architecture at Meta (Supernatural) demonstrating a single codebase running on both.

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