Vetted Visual Studio Professionals

Priyanka Ramesh

Screened ReferencesStrong rec.

Junior Full-Stack Software Engineer specializing in Java/Spring Boot and React

Boston, MA2y exp

“Backend engineer (IpserLab) who owned Python services for a production quiz/analytics platform, focusing on reliability and low-latency behavior under peak load. Hands-on with Kubernetes + Docker deployments and GitHub Actions CI/CD in a GitOps-style workflow, including solving configuration drift and enabling fast rollbacks. Also implemented Kafka-based event streaming with idempotent consumers and strong observability (lag tracking, structured logging, alerting).”

“Healthcare analytics professional with hands-on experience turning messy claims, eligibility, and utilization data into validated BI-ready models using SQL and Python. They combine strong data engineering and KPI design skills with stakeholder-facing delivery, including Power BI prototyping, retention metric operationalization, and analyses that supported care management interventions and cost-control decisions.”

“Full-stack web developer who reports owning both backend and frontend design, including database-first design and jQuery-based web UI work (shared a GitHub project link). Claims to have delivered a project planned for 4 months in just 2 weeks and emphasizes strong personal code quality standards.”

“Customer Success Engineer focused on secure customer integrations for web/AI analytics solutions, frequently aligning retail/business teams with security requirements. Has hands-on experience troubleshooting and hardening API-based integrations in AWS (IAM least privilege, VPC/private subnet patterns, CloudWatch/CloudTrail) and delivering repeatable containerized deployments via Bitbucket CI/CD.”

“Game/VR simulation developer who built and shipped multiple VR training levels (e.g., nursing and scientific method) at VXR Labs, owning level implementation and backend logic. Experienced in Unreal Engine 5 Blueprints prototyping (including a horde mode) and in designing tightly gated, step-based educational experiences while collaborating closely with educators/subject-matter experts to balance realism with VR feasibility.”

Francisco Irazaba

Screened

Junior Embedded Firmware Developer specializing in microcontrollers and wireless protocols

San Luis Obispo, CA1y exp

“Cal Poly student with embedded + networking + robotics project experience, including an E4E summer research internship building an acoustic collar on an STM32 and collaborating weekly with the San Diego Zoo Wildlife Alliance. Built a hobby ESP32-based Spotify “now playing” display and demonstrated strong cross-domain debugging by tracing failures to router behavior rather than code.”

Jonathan Grebe

Screened

Mid-level Robotics Software Engineer specializing in ROS, C++ and embedded Linux

Ottawa, Canada7y exp

“Robotics software lead at Icor who grew from intern to owning the end-to-end software lifecycle for a mobile manipulator platform deployed to 300+ customers globally. Deep hands-on ROS2/MoveIt2 and navigation-stack integration (URDF/TF, sensors, behavior engine) plus production infrastructure (CI/CD, OTA, field OS upgrades) and real-world performance tuning for motion planning in EOD multi-robot environments.”

“AI Engineer at Humanitarian AI who has built and productionized both a LangGraph-based multi-agent workflow system and a RAG pipeline (OpenAI embeddings + vector DB) with rigorous evaluation/guardrails. Reports strong measurable impact (60% faster workflow delivery, 40% fewer incidents, 70% reduced research time) and has prior enterprise modernization experience at Infosys migrating ETL to microservices with zero production incidents.”

“Backend engineer with deep experience modernizing a provider credentialing/compliance platform with multiple upstream/downstream integrations. Focused on building predictable, scalable REST APIs (primarily ASP.NET Core; framework-agnostic approach applicable to FastAPI), improving performance via DB/query optimization, and hardening workflows with idempotency, transactions, feature flags, and strong auth/RBAC patterns.”

“Frontend engineer who led end-to-end delivery of a customer-facing ticket booking platform at Simplii Financial, emphasizing scalable React architecture, performance (code-splitting/lazy loading), and accessibility. Also built a data-heavy real-time metrics dashboard at Q-TED using React + TypeScript with React Query for server-state, strong API contract validation practices, and tight QA/product/design collaboration for fast, stable releases.”

“Gameplay/systems developer with shipped VR experience on Meta Quest (Litesport), owning a real-time workout scoring and progression system end-to-end including hit validation, HUD/UI, session state, and persistence. Known for event-driven architecture that decouples gameplay from UI, data-driven tunables for multiple modes, and rigorous VR performance work to hold 72 FPS using on-device profiling and debugging.”

“Game developer/designer with professional Unity experience and personal UE5/Godot projects, focused on improving player comprehension through subtle UX/environmental guidance. Has built end-to-end gameplay systems (FPS hitscan, health, saving/serialization, basic AI with A* and state machines) and shipped mobile titles on Google Play, including a physics-based trajectory/prediction feature that received positive feedback.”

“Marketing analytics candidate who combines strong SQL data engineering with Python automation to turn messy GA4, Instagram, and Postgres data into reliable reporting and decision tools. They’ve built cohort- and retention-based measurement frameworks that shifted teams away from vanity metrics, improved campaign allocation, and drove roughly 30% better two-week retention.”

Sujay Surendranath Pookkattuparambil

Screened

Mid-level Machine Learning Engineer specializing in computer vision and reinforcement learning

Chicago, IL3y exp

“Early-stage engineer with hands-on embedded prototyping experience (Arduino/Raspberry Pi) who helped build an award-winning smart glasses project enabling phone notifications via Bluetooth. Strong computer vision performance optimization background, including accelerating 120 FPS inference by moving from TensorFlow to PyTorch and deploying through ONNX + TensorRT quantization, plus Docker-based GPU deployment and CI/ML practices.”

“UK-based Unity developer who served as the sole developer building VR training scenarios for the oil & gas industry, deploying to Meta Quest and Pico 4 via OpenXR. Experienced translating complex real-world procedures (e.g., offshore rigging/lifting) into interactive VR flows using storyboards, C# scripting, and iterative client testing; also built a Unity web-based SCORM-compliant training course integrating with a SCORM backend via JavaScript.”

“Unity/VR developer who shipped the Meta Quest game "ARCADE PARADISE," contributing features, resolving long-standing bugs, optimizing performance, and documenting internal build/setup workflows. Also built an "Axe Throw" Unity project largely solo featuring a custom C++/OpenCV motion-detection plugin (including low-light detection and noise elimination) and later mentored/onboarded junior developers onto the project.”

“Healthcare-focused ML/LLM engineer who built a production hybrid RAG workflow to automate prior authorization by retrieving from medical guidelines/historical cases (FAISS) and generating grounded rationales for clinicians. Strong in operationalizing ML with Airflow/Kubeflow/MLflow on SageMaker, optimizing latency (ONNX/quantization/async), and reducing hallucinations via evidence-only prompting; also partnered closely with clinical ops to deploy a readmission prediction tool used in daily rounds.”

“Full-stack .NET/Azure engineer with end-to-end ownership of policy management microservices (React/TypeScript + C#/ASP.NET Core + Kubernetes) delivering significant performance and quality improvements (e.g., response time -35%, defects -30%, CSAT +18%). Also productionized an AI-assisted analyst workflow using Azure OpenAI with a RAG pipeline on Azure Cognitive Search, including rigorous prompt versioning, guardrails, and measurable impact (review time -40%, errors -55%). Led incremental legacy modernization via Strangler Fig and dual-write migrations with zero production regressions.”

“Senior engineer with experience at Micro Focus/HPE (now OpenText) supporting enterprise customers on monitoring platform deployments, upgrades, and ongoing product use. Brings hands-on expertise in operations agents, agentless integrations, security-related upgrade troubleshooting, and cross-functional escalation with engineering to keep customer environments stable and successful.”