Vetted Visual Studio Code Professionals

Pre-screened and vetted.

SS

Senior Full-Stack Engineer specializing in FinTech and healthcare web applications

Riverwoods, IL5y exp
DiscoverUniversity of Bridgeport
View profile
RR

Mid-level Data Scientist specializing in financial ML, NLP, and MLOps

San Diego, CA5y exp
Morgan StanleySan Diego State University
View profile
SA

Sharath Addepalli

Screened ReferencesStrong rec.

Mid-Level Software Engineer specializing in Python microservices and scalable web APIs

Franklin, TN3y exp
NissanUniversity of Florida

Backend engineer who replaced an Excel-heavy forecasting workflow with a secure, auditable FastAPI system (React UI + relational model + async workers), emphasizing deterministic processing, idempotency, and versioned ledger-style ingestion. Led a monolith-to-FastAPI migration at Bounteous using a strangler approach, feature-flagged incremental rollout, and data reconciliation/shadow-compare to protect integrity while scaling onboarding workflows.

View profile
Alexander Meyer - Senior/Lead Game Developer specializing in Unity and cross-platform multiplayer games in Paphos, Cyprus

Alexander Meyer

Screened ReferencesStrong rec.

Senior/Lead Game Developer specializing in Unity and cross-platform multiplayer games

Paphos, Cyprus28y exp
BlockgamesLübeck University of Applied Sciences

Veteran Unity game developer with extensive multiplayer networking experience (Photon PUN2/Quantum/Fusion, Unity Netcode), including work on Payday: Crime War and an in-development arena battler using Invector + PUN2. Also builds cloud backends for Unity titles (Azure/PlayFab/Firebase, SQL, CI/CD) and actively uses multiple AI assistants to speed up architecture and implementation.

View profile
HD

HimavardhanReddy Donuru

Screened ReferencesModerate rec.

Senior Front-End/UI Lead specializing in enterprise web applications

Austin, TX10y exp
VerizonJawaharlal Nehru Technological University, Hyderabad

Frontend/UI lead with enterprise-scale experience on Verizon's vendor portal, a complex workflow system for fiber infrastructure contracts used by vendors, inspectors, and managers. He combines React micro-frontend architecture, TypeScript, and UX optimization to streamline demanding operational workflows, including reducing contract turnaround time from one week to two days and improving power-user efficiency with keyboard shortcuts and copy interactions.

View profile
SP

Soham Patel

Screened

Mid-level Machine Learning Engineer specializing in healthcare NLP and MLOps

Piscataway, NJ3y exp
Syneos HealthRutgers University - New Brunswick

ML/AI practitioner in healthcare (Syneos Health) who has deployed production clinical NLP and risk models. Built a BERT-based physician-note information extraction system on Docker + AWS SageMaker (reported ~42% retrieval improvement) and automated retraining/deployment with Airflow and drift detection, while partnering closely with clinicians to drive adoption (reported ~18% readmission reduction).

View profile
NP

Namruth Potla

Screened

Senior .NET Software Engineer specializing in enterprise web applications

Dallas, TX5y exp
WalmartNorthwest Missouri State University

Backend engineer with Walmart experience owning Python data-processing/integration services alongside ASP.NET Core. Has deployed containerized services to Kubernetes via OpenShift with Jenkins CI/CD and GitOps-style config management, and has led phased migrations modernizing VB6/classic ASP apps to ASP.NET Core on OpenShift/Azure. Also implemented Kafka-based real-time pipelines with a focus on reliability, idempotency, and observability.

View profile
Nikitha Kommidi - Mid-level AI/ML Engineer specializing in fraud detection, NLP, and MLOps

Mid-level AI/ML Engineer specializing in fraud detection, NLP, and MLOps

6y exp
CitibankUniversity of Texas at Arlington

Built a production real-time fraud detection and customer-support automation platform at Citibank, tackling extreme class imbalance (reported ~1:5000) and strict latency constraints. Combines hands-on MLOps (Airflow, Kubernetes, MLflow; Snowflake/Spark/S3 integrations; CI/CD model promotion) with cross-functional delivery to Risk & Compliance focused on interpretability and reducing false positives.

View profile
Lachlan Hunt - Junior Game Programmer specializing in Unity and Unreal Engine

Lachlan Hunt

Screened

Junior Game Programmer specializing in Unity and Unreal Engine

2y exp
Electronic ArtsAberystwyth University

Solo developer who shipped an Android game (Master Caster) built around touch gesture recognition (P$ algorithm) and data-driven potion/ingredient systems using JSON/dictionaries. Has hands-on experience optimizing Unity projects for mobile constraints (framerate, heat/battery) using techniques directly applicable to VR, and is actively porting the game to VR in Unreal with a focus on accessibility and room/standing/seated play modes.

View profile
AD

Ananya Dandi

Screened

Junior Machine Learning Researcher specializing in knowledge distillation

College Park, MD1y exp
University of Maryland Department of Computer ScienceUniversity of Maryland, College Park

Built and shipped LLM-powered agents including a production RAG research assistant that cut research lookup time from ~20 minutes to ~10–20 seconds using caching, retrieval thresholds, and citation-enforced grounded answers. Also designed multi-step, tool-calling workflows with stateful critique/revision loops and pragmatic monitoring (retry/schema-failure/low-confidence signals) plus normalization/validation layers for messy notes/spreadsheet-style data.

View profile
JK

Jacob Kuder

Screened

Senior DevSecOps & Platform Leader specializing in cloud-native infrastructure

Williamston, SC18y exp
Booz Allen HamiltonSouthern Wesleyan University

Cloud-focused platform/infrastructure engineer centered on AWS and Kubernetes, with hands-on experience building EKS environments via Terraform/Terragrunt, bootstrapping clusters with Cilium and ArgoCD, and integrating persistent storage and backup tooling like EFS/EBS CSI and Velero. While no longer focused on on-prem or hybrid operations, they also bring prior VMware/Hyper-V and migration-to-AWS experience, making them strongest in modern cloud platform engineering roles.

View profile
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.

View profile
GR

Mid-level Software Engineer specializing in AI platforms and full-stack systems

Cambridge, MA5y exp
PhilipsNortheastern University

Software developer with a one-year Philips co-op who has already applied AI-assisted coding in production, not just side projects. Stands out for using multi-agent development setups with task-specific sub-agents and a clear human-led orchestration philosophy focused on context, quality control, and security.

View profile
Sanjana Chowdary - Intern Full-Stack Engineer specializing in web applications and AI in New York, NY

Intern Full-Stack Engineer specializing in web applications and AI

New York, NY2y exp
GrouprNYU

Engineer with hands-on experience both using AI coding agents in production and building AI systems, including chatbot development and BERT fine-tuning at Atos. At Groupr, they applied strong systems judgment to live operational workflows, validating concurrency decisions manually for an admin portal supporting 500+ orders per day.

View profile
AC

Anna Chapko

Screened

Entry-level Software Engineer specializing in AI and full-stack development

Manhattan, NY1y exp
Russian School of MathematicsHunter College (CUNY)

Entry-level software engineer with hands-on experience building a GPA predictor web app in a school project, focused on React/TypeScript frontend, authentication, and UX for AI-driven syllabus parsing. Stands out for translating ambiguous product ideas into a usable MVP, improving onboarding flow, and adding resilient loading/error states for unreliable parsing and API behavior.

View profile
AP

Mid-level Frontend Engineer specializing in scalable web applications

San Diego, CA6y exp
American Specialty HealthSUNY

Frontend engineer with strong ownership of revenue-critical checkout experiences, including cart, payment, and confirmation flows used across four subscription programs. Stands out for combining architecture, performance optimization, and analytics-driven product thinking—improving load times by 20% and shipping Apple Pay and referral features tied to increased revenue.

View profile
JH

Senior AI/ML Scientist and Software Engineer specializing in healthcare NLP and time-series modeling

Queens, NY8y exp
ExponentRensselaer Polytechnic Institute

Doctoral researcher who built an end-to-end deep learning thesis project translating nutritional time-series logs into natural-language behavioral health summaries for users such as Type 2 diabetics. Particularly interesting for AI/ML roles that value research rigor, ambiguity tolerance, and thoughtful evaluation, even though their experience is primarily academic and side-project based rather than production industry systems.

View profile
SS

Sai santosh

Screened

Mid-level Backend Software Engineer specializing in Java microservices and FinTech

Delray Beach, FL5y exp
Capital OneFlorida Atlantic University

Built a production AI-powered customer support Q&A system using an internal knowledge base to reduce repetitive ticket work and improve customer satisfaction, with an emphasis on source-backed answers and expert oversight. Also has experience defining deployment services in a microservices architecture and integrating large-scale APIs (including work connected to US HHS/COVID-19).

View profile
JV

Mid-Level Java Backend Engineer specializing in payments and cloud microservices

New Jersey, United States4y exp
Wells FargoUniversity of Central Missouri

Backend-focused engineer at Wells Fargo owning production payments features end-to-end, including Spring Boot REST services, CI/CD + containerized AWS deployments, and CloudWatch-based observability. Has hands-on experience stabilizing high-traffic transaction workflows and building reliable ingestion/integration flows using idempotency, retries/backoff, and reconciliation.

View profile
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).

View profile
VS

Mid-level Full-Stack Java Developer specializing in microservices on AWS

Raleigh, NC5y exp
First Citizens BankLindsey Wilson College

Frontend-focused engineer who built a reusable React component library (documented in Storybook) to standardize and speed up UI development across teams at Ikea, including a configurable, high-performance order list component. Also demonstrated end-to-end ownership in an unstructured environment at First Citizens Bank by defining API contracts and delivering backend services with caching and monitoring.

View profile
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.

View profile
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.

View profile

Need someone specific?

AI Search