Vetted System Design Professionals

Pre-screened and vetted.

SM

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

WI, USA3y exp
Cardinal HealthAnderson University

Full-stack engineer with enterprise experience at Metasystems Inc. (and Qualcomm) building high-traffic, security-sensitive systems—owned a secure transaction processing module end-to-end using Java/Spring Boot, Python/Django, and React. Strong AWS production operations (EKS/ECS/Lambda/RDS/DynamoDB) with IaC (Terraform/CloudFormation), observability, and reliability patterns; also delivered resilient ETL/integration pipelines with idempotency/retries/backfills and achieved a 50% deployment-time reduction through CI/CD and modular refactoring.

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GB

Garrett Berg

Screened

Senior Solutions Engineer specializing in blockchain governance and compliance analytics

4y exp
AgoraPenn State University

Consulting background (Accenture) delivering technically complex solutions involving on-chain data and strict government security standards, including building isolated sandbox environments to move from PoC to production. Experienced in debugging agentic/LLM-style workflows (e.g., document scanning issues) with deterministic guardrails, preprocessing, and strong logging/monitoring. Has led large-scale crypto wallet workshops (including for the CFTC) and helped win business via clear, layered technical demos; also built internal marketing taxonomy tooling and drove adoption through cross-functional alignment.

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SA

Shoukath Ali

Screened

Mid-level Backend Software Developer specializing in cloud-native microservices

Irvine, CA5y exp
Tungsten AutomationIndiana University Bloomington

LLM-focused engineer who has shipped multiple production-grade AI reliability systems: an LLM output validation/monitoring service (FastAPI) with prompt versioning and failure analytics, plus a RAG feature using embeddings/vector DBs with retrieval thresholds, schema/context validation, and safe fallbacks. Strong in evaluation loops (groundedness, schema accuracy, human review) and scalable pipelines for messy document ingestion with observability and early detection of data quality issues.

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VK

Senior Software Engineer specializing in cloud-native event-driven microservices

TX, USA6y exp
VerizonMalla Reddy College of Engineering & Technology

Full-stack engineer experienced shipping production SaaS dashboards with Next.js App Router + TypeScript, combining Server Components for initial data loads with interactive client-side analytics. Strong performance/operability focus (reported ~40% UI latency reduction) and deep backend fundamentals across Postgres schema/query optimization and Kafka-based event-driven microservices with idempotency, retries, and DLQs.

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SC

Mid-level Full-Stack Developer specializing in React/Node, GraphQL, and Databricks lakehouse

Dallas, TX6y exp
Southern Glazer's Wine & SpiritsWebster University

Full-stack engineer currently at Southern Glazer’s who built and owned a real-time commercial finance expense analytics dashboard end-to-end (Next.js App Router + TypeScript), including post-launch monitoring, data quality checks, and stakeholder-driven iteration. Strong data/analytics backend experience (Postgres modeling and Databricks Delta Lake pipelines) with demonstrated performance wins—e.g., cutting a key reconciliation query from 8–12s to <400ms and improving frontend load time ~40% with a 25% bounce-rate drop at Verizon.

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NU

Nikhil Urkude

Screened

Senior Backend Software Engineer specializing in distributed systems and enterprise SaaS

Irving, TX10y exp
PaycomUniversity of Texas at Arlington

Backend/platform engineer with Paycom experience owning a core enterprise compliance feature (certification approval workflow) end-to-end, including live migration behind feature flags and production monitoring. Delivered measurable impact (40% faster workflow completion, major drop in escalations) and also built GraphQL microservices integrating certification workflows into an enterprise AI platform while driving significant API latency reductions (20s to <6s).

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Shashank Venkataramana - Mid-level Software Engineer specializing in AWS cloud infrastructure and data platforms in Scottsdale, AZ

Mid-level Software Engineer specializing in AWS cloud infrastructure and data platforms

Scottsdale, AZ4y exp
EdPlus at Arizona State UniversityArizona State University

Backend/infra-focused software engineer who built an autonomous Python API-orchestration agent using asyncio with strong reliability and observability (trace IDs, structured logs, retries/timeouts) and containerized dev workflow. Experienced deploying Python services to Kubernetes with Helm and running GitOps CI/CD via ArgoCD, plus leading an AWS IAM-to-Identity Center migration using CloudTrail-driven least-privilege role design. Also built and debugged a Kafka/SnapLogic bidirectional pipeline syncing Redshift and HBase, resolving missing-record issues via Kibana-driven investigation.

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Deandra House - Director-level Talent Acquisition leader specializing in global recruiting operations in Plano, Texas

Deandra House

Screened

Director-level Talent Acquisition leader specializing in global recruiting operations

Plano, Texas19y exp
RandstadUniversity of Phoenix

Talent/Recruiting Operations leader who has managed 6–20 person TA Ops teams and led a global "Recruiting 2.0" transformation standardizing intake and structured interviews, automating screening/scheduling, and building Power BI funnel dashboards. Delivered measurable impact including ~30% time-to-fill reduction and improved candidate/hiring manager experience, and has hands-on systems implementation experience across Workday Recruiting, SuccessFactors, Eightfold, DocuSign, and background check integrations.

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Michael Chaves - Senior Creative Technologist & Full-Stack UX Engineer specializing in Generative AI and XR in Los Altos, CA

Senior Creative Technologist & Full-Stack UX Engineer specializing in Generative AI and XR

Los Altos, CA12y exp
Astrocade AISan José State University

Design engineer/product designer who built an end-to-end creator + review/moderation system for a UGC platform, spanning automated checks, human QA, final review, and creator feedback. Comfortable working directly with HTML/CSS/TypeScript and component systems, using prototyping and field observation to reduce reviewer hesitation, improve consistency, and prevent creator errors upstream.

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Sanjana Kirthi - Junior Software Engineer specializing in backend platforms and cloud-native systems in USA

Junior Software Engineer specializing in backend platforms and cloud-native systems

USA3y exp
JPMorgan ChaseUniversity of Central Oklahoma

Backend engineer from Emphasis who modernized legacy, tightly coupled workflow systems into observable, event-driven microservices using Kafka. Led a monolith-to-microservices refactor with shadow traffic, feature flags, canary rollout, dual writes, and reconciliation, and strengthened reliability with idempotent consumers, DLQ/replay, and an outbox pattern to prevent DB/event inconsistency. Strong focus on secure multi-tenant APIs (OIDC/JWT, RBAC/ABAC, Supabase-style RLS) and frontend enablement via OpenAPI and typed client generation.

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Rushwant K - Mid-Level Full-Stack Software Engineer specializing in FinTech and microservices in United States, Remote

Rushwant K

Screened

Mid-Level Full-Stack Software Engineer specializing in FinTech and microservices

United States, Remote4y exp
DiscoverGeorge Mason University

Backend engineer with experience at Discover, Dell, and Carpus building high-concurrency microservices and secure APIs. Delivered measurable impact in fintech workflows by integrating credit bureaus (TransUnion/Experian), cutting loan processing from days to minutes and reducing latency 65% through PostgreSQL tuning and caching. Strong in production security patterns (JWT/RBAC, Postgres row-level security for multi-tenant isolation) and low-risk migrations (shadow mode + incremental rollout).

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Sharanya Teegala - Mid-level Full-Stack Software Engineer specializing in Java/Spring and AWS microservices in Minneapolis, MN

Mid-level Full-Stack Software Engineer specializing in Java/Spring and AWS microservices

Minneapolis, MN5y exp
Wells FargoConcordia University

Full-stack engineer with experience at Wells Fargo and Salesforce building regulated, customer-facing financial systems and internal DevOps tooling. Deep in microservices and event-driven architectures (Spring Boot, Kafka/RabbitMQ) with strong CI/CD automation, contract testing, and observability; delivered measurable impact including 60% faster deployments and 40% fewer support tickets.

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Alexander Ahlberg - Senior Unity/Unreal Gameplay & Simulation Engineer specializing in immersive training in Remote, USA

Senior Unity/Unreal Gameplay & Simulation Engineer specializing in immersive training

Remote, USA10y exp
Stamm MediaBecker College

Game developer with hands-on end-to-end ownership as a solo Unity/C# developer, building a node/grid-based 2D gameplay system designed for fast iteration via event-driven, component-based architecture. Also prototyped Unity-to-external LLM integration over WebSockets (JSON world snapshots, async responses) and has Unreal Engine multiplayer experience (server-authoritative replication/RPCs) plus VR performance/UI optimization work.

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BS

Bilal Shaikh

Screened

Junior Software Engineer specializing in backend distributed systems

Canada3y exp
Brock SolutionsMcMaster University

Backend engineer in airport operations who built a highly customizable BFF-based system connecting airport staff workflows to a baggage sortation engine. Their architecture cut per-airport customization from 100-150 engineering hours to 1-5 hours, improved long-running operation performance by 45%, and shipped in 4 months instead of 6. They also explored AI-assisted backend customization with human validation and test-based safeguards.

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NS

Nisarg Shah

Screened

Entry-level Full-Stack Engineer specializing in distributed systems and ML platforms

Tempe, AZ1y exp
Arizona State UniversityArizona State University

Early-career/new-grad candidate who built TrendScout AI, an evidence-first market intelligence agent that ingests messy news, extracts entities/events, builds a Neo4j knowledge graph, and answers questions via RAG with citations. Achieved ~95% retrieval relevance by combining ChromaDB semantic search with graph-based retrieval and validating outputs through human evaluation and guardrails to prevent hallucinations.

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AA

Mid-level Backend Software Engineer specializing in cloud-native microservices

Austin, TX4y exp
CignaUniversity of Kansas

Backend/platform engineer with experience across Cigna, Cognizant, and a university environment, focused on reliability, distributed systems, and regulated-domain workflows. Stands out for combining Kubernetes/Kafka/AWS infrastructure expertise with a production RAG-based healthcare compliance assistant that cut manual reporting work from 30-45 minutes to under 2 minutes while maintaining strong uptime and data-quality controls.

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Lawrence Prabhakar - Mid-level Full-Stack Java Developer specializing in FinTech in USA

Mid-level Full-Stack Java Developer specializing in FinTech

USA5y exp
State StreetColorado State University

Engineer with a thoughtful, hands-on approach to AI-assisted software development, treating AI as a force multiplier for debugging, prototyping, and large-codebase work rather than a substitute for judgment. Particularly strong in multi-agent coding workflows, contract-driven development, and maintaining consistency across backend, frontend, and testing through shared schemas and OpenAPI-based coordination.

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Aniket Dhanawade - Mid-level Full-Stack Engineer specializing in cloud-native and AI-powered applications in USA

Mid-level Full-Stack Engineer specializing in cloud-native and AI-powered applications

USA3y exp
IBMFlorida Institute of Technology

Candidate has a thoughtful, hands-on approach to AI-assisted software development, treating AI as a pair programmer while retaining ownership of architecture, tradeoffs, and final code quality. They have practical experience using multi-agent workflows to ship small features end-to-end, including planning, execution, and gap detection under human oversight.

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GK

Goda Kodati

Screened

Mid-level Software Engineer specializing in Java/Spring backend and event-driven systems

Sunnyvale, CA4y exp
OptumUniversity of North Carolina at Charlotte

Backend engineer from Optum who built and optimized a real-time, Kafka-driven healthcare claims processing platform handling 1M+ claims/month. Strong in reliability, state management, and observability for distributed systems, plus production deployment automation with Docker/Kubernetes and CI/CD; no direct ROS/robotics simulator experience yet but frames work in robotics-adjacent real-time principles.

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JW

Joseph Wonesh

Screened

Senior Full-Stack Software Engineer specializing in modern web apps and cloud platforms

Los Angeles, CA11y exp
SmartiStackUniversity of Florida

Backend/data engineer focused on production-grade Python microservices and AWS platforms, including a hybrid Lambda + ECS Fargate architecture managed with Terraform and CI/CD. Has hands-on reliability experience (JWT/OAuth, timeouts, retries, centralized error classification) and built AWS Glue/PySpark ETL pipelines consolidating PostgreSQL/RDS, MongoDB, and S3 sources into curated partitioned Parquet datasets. Demonstrated measurable SQL tuning impact (8 minutes to 25 seconds) and disciplined legacy-to-modern migrations with parity validation and UAT sign-off.

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SR

Mid-level Full-Stack Java Developer specializing in cloud microservices and enterprise apps

Minneapolis, MN4y exp
UnitedHealth GroupUniversity of Memphis

Software engineer/product owner experience at UnitedHealth Group owning a high-volume claims eligibility console end-to-end (React/TypeScript + Spring Boot microservices) processing 1M+ transactions/day. Strong in event-driven architecture (Kafka/RabbitMQ), HIPAA-aligned security (OAuth/JWT/RBAC), and building internal observability tools that improve incident triage and production reliability.

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NL

Ninglan Lei

Screened

Intern Full-Stack/Backend Software Engineer specializing in test automation and web systems

Charlottesville, VA1y exp
Compassion InternationalUniversity of Virginia

Backend/ML engineer who built an end-to-end greenwashing detection system for corporate ESG reports: Python preprocessing pipeline, logistic regression + fine-tuned DistilBERT models, and a Dockerized FastAPI inference service optimized for latency. Internship experience maintaining GitLab CI/CD for TypeScript services (Jest/Playwright), improving pipeline stability and test determinism; familiar with Kubernetes/GitOps concepts and AWS CLI/SSO.

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SS

Junior Software Engineer specializing in AI agents and full-stack cloud systems

Irvine, CA1y exp
OrangePeopleUC Irvine

Backend-focused engineer who has built and refactored FastAPI services backed by MongoDB, emphasizing async concurrency, stateless design for horizontal scaling, and performance tuning via indexing and request-level timing. Has implemented production authentication patterns (JWT, SSO, OAuth2 + PKCE) and user/org-scoped access controls, and improved reliability of LLM document-extraction APIs with fallback mechanisms.

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MA

Maaz Ahmed

Screened

Mid-Level Software Engineer specializing in backend and distributed systems

Parsippany, NJ3y exp
ADPArizona State University

Backend-leaning full-stack engineer from ADP’s Global View team who owned major backend components of an enterprise payroll dashboard, including a fault-tolerant multi-step payroll processing workflow and error visibility features. Strong in Java/Spring Boot + PostgreSQL schema design and Redis caching, with additional production experience in Python services (JWT, testing, SonarQube) and AWS deployments via Terraform/Jenkins with autoscaling.

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