Vetted Authentication Professionals

Pre-screened and vetted.

AA

Senior Cloud Security Engineer specializing in AWS and Azure security architecture

Woodlawn, MD7y exp
Social Security AdministrationTowson University
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LM

Mid-Level Full-Stack & Cloud Engineer specializing in scalable distributed systems

Corvallis, OR3y exp
MicrotecOregon State University
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RG

Mid-level Backend/Data Engineer specializing in legal data pipelines and APIs

5y exp
WalmartUniversity of Texas at Arlington
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AA

Senior AI/ML Engineer specializing in LLMs and enterprise conversational AI

Northbrook, IL16y exp
CVS HealthUniversity of Illinois Chicago
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VP

Viraj Paresh Shah

Screened ReferencesModerate rec.

Mid-Level Full-Stack Software Engineer specializing in cloud-native APIs and compliance

San Francisco, California6y exp
CiscoUC Irvine

Full-stack/backend engineer with healthcare and enterprise experience: built and secured AWS-hosted services for a clinical EHR product that redacts/transforms hospital patient records for pharma customers (e.g., AstraZeneca, Johnson & Johnson). At Cisco, led an incremental Ruby-to-Python/Django migration for a compliance backend, and has deep multi-tenant security experience using Postgres RLS tied to JWT plus DLQ patterns to harden data pipelines.

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JS

Johnnie Sanders

Screened ReferencesModerate rec.

Executive AI Architect specializing in enterprise cloud and FinTech solutions

Lewisville, TX15y exp
11-11 Solutions Ent.Purdue University

Candidate brings an operator-to-founder profile with leadership experience in IT and Business Systems and a strong grasp of how ideas become venture-backable products. They speak fluently about startup evaluation criteria such as TAM, technical defensibility, speed to scale, and AI differentiation, and appear especially motivated by building solutions end-to-end in startup or venture studio environments.

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SS

Saffinah Shi

Screened

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

Los Angeles, US2y exp
CoreSpeedNorthwestern University

SDE who worked on an MGICS Lab robotics project building a multi-agent model to help agents understand tasks and generate robot instructions, emphasizing task-splitting, checking, and a reflection agent to improve accuracy. Also has experience using GitHub with automated CI/CD pipelines.

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CC

Caden Cheah

Screened

Intern Full-Stack/ML Engineer specializing in LLM applications and mobile development

Los Angeles, CA1y exp
IlloominateUC Berkeley

Backend engineer who built a serverless AWS Lambda microservices backend for a parenting assistance mobile app, including a personalized recommendation system optimized to sub-500ms via precomputed scoring and DynamoDB caching. Demonstrates strong production pragmatism: CloudWatch-driven performance tuning (provisioned concurrency), zero-downtime phased schema migrations, and robustness patterns like optimistic locking and request deduplication. Also led a refactor of an LLM RAG pipeline to improve retrieval quality and cut latency from ~5s to ~3s.

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SS

Mid-Level Full-Stack Software Engineer specializing in API-first microservices and cloud platforms

Arlington, TX4y exp
University of Texas at ArlingtonUniversity of Texas at Arlington

Backend-focused engineer who built a resume processing and job application platform using Python/MongoDB/Streamlit, including OpenAI-powered skill/keyword extraction and recruiter-facing search/filtering. Has hands-on cloud deployment experience on AWS/Azure and executed an on-prem reservation portal migration to Azure using a phased trial-and-cutover approach; also automated CI/CD with Jenkins and GitHub Actions.

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HT

Hassam Tariq

Screened

Mid-Level Software Engineer specializing in Cloud, GenAI, and Federal systems

Arlington, VA
DeloitteUniversity of Maryland, College Park

Cloud-focused engineer experienced deploying and stabilizing complex production systems that span APIs, infrastructure, and automated workflows, with a strong observability and safe-release mindset (feature flags/canaries/rollbacks). Has hands-on, customer-facing incident leadership, including executing DR regional failover during an AWS us-east-1 outage to maintain service and reportedly save a client ~$10M.

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SB

Silpa Bhavani

Screened

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

Oakland, CA5y exp
BlockLamar University

Software engineer with strong compliance-domain experience who built a customer-facing compliance and reporting dashboard using React/TypeScript with Spring Boot microservices. Demonstrates mature production engineering practices—contract-first APIs, event-driven architecture (Kafka/RabbitMQ), caching (Redis), and robust CI/CD + observability (Prometheus/Grafana/ELK)—and also created a Python-based audit automation tool adopted into the standard release process.

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NP

Navya Panyala

Screened

Senior Software Engineer specializing in identity, cloud-native microservices, and reactive web apps

Bentonville, AR6y exp
WalmartUniversity at Albany

Product-focused full-stack engineer with Walmart and Dell experience who built and shipped a real-time engagement dashboard end-to-end (Kafka Streams, Spring Boot, React/TypeScript/D3) used daily by business teams, moving them from next-day reports to real-time decisioning. Strong in performance/reliability (Redis caching cut latency ~40%, 90%+ test coverage, Prometheus/CloudWatch monitoring) and production operations on AWS/EKS including handling a cascading failure from a memory leak with zero-downtime rollback and redeploy.

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YT

Yupeng Tang

Screened

Junior Machine Learning Engineer specializing in LLM systems and GPU inference

Atlanta, GA1y exp
GMI CloudGeorgia Tech

LLM/agent engineer who shipped a production RAG-based recommendation + explanation system that replaced a traditional recommender stack, delivering ~20% CTR lift (and +8% after a reliability iteration) with strong cold-start performance. Demonstrates strong production rigor: schema-constrained generation, typed tool calling, explicit state/orchestration, deep monitoring/feedback loops, and safe integration with messy ERP inventory/order data using normalization, idempotency, and conflict-resolution guardrails.

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Yuan-Hao Chen - Intern Software Engineer specializing in backend systems and cloud infrastructure in Urbana, IL

Yuan-Hao Chen

Screened

Intern Software Engineer specializing in backend systems and cloud infrastructure

Urbana, IL1y exp
ReDirectUniversity of Illinois Urbana-Champaign

Backend-focused intern who owned real-time livestream features: live comment moderation using AWS Comprehend (sentiment/toxicity/PII) with safe fallbacks, plus AI-generated positive commentary via AWS Bedrock (Claude 3 Haiku). Emphasizes reliability/low-latency design, IAM troubleshooting, and disciplined GitOps-style CI workflows for reproducible deployments.

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Jahnavi Bellapukonda - Mid-Level Software Engineer specializing in full-stack web and cloud systems in Remote, USA

Mid-Level Software Engineer specializing in full-stack web and cloud systems

Remote, USA3y exp
AdobeTexas Tech University

Full-stack engineer with strong data engineering and privacy-domain experience, having owned an automated Data Subject Rights (DSR) processing pipeline end-to-end across Azure SQL and GCP (GCS/BigQuery). Emphasizes production reliability via idempotency, validation checkpoints, structured logging/monitoring, and safe CI/CD-driven deployments, and has also built React+TypeScript + Node/Postgres web apps with scalable, maintainable architecture.

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Guojian Wang - Entry-Level Full-Stack Software Engineer specializing in React/Next.js and Node.js in United States

Guojian Wang

Screened

Entry-Level Full-Stack Software Engineer specializing in React/Next.js and Node.js

United States0y exp
Jilin Asia Pacific Technology Co., Ltd.USC

Full-stack engineer with hands-on experience building and owning production e-commerce features in Next.js (App Router) + TypeScript, including SSR-driven category browsing with pagination and region-specific pricing. Strong focus on post-launch reliability and performance—optimizes React rendering (lazy loading/Suspense), tunes Postgres queries with indexes/explain plans, and supports durable order-processing workflows with idempotency, retries, and structured logging.

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Shrey Kumar - Junior Full-Stack Software Developer specializing in web platforms and AI workflows in Dallas, TX

Shrey Kumar

Screened

Junior Full-Stack Software Developer specializing in web platforms and AI workflows

Dallas, TX1y exp
USTUC San Diego

Software engineer who built and shipped “Counsellor AI,” a production LLM-powered academic advising agent for college students using AWS Bedrock and grounded RAG over official university catalogs/policies. Emphasizes reliability through structured JSON outputs, multi-step orchestration with shared state, and strict intake/validation gates to prevent hallucinations and invalid academic plans; also has experience hardening messy telecom operational data pipelines with normalization, permissions, fallbacks, and idempotent patterns.

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AG

Aditee Gaddam

Screened

Mid-level Full-Stack Java Developer specializing in cloud-native enterprise platforms

USA5y 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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NT

Mid-level Software Engineer specializing in backend systems for FinTech

Dallas, TX4y exp
Goldman SachsUniversity of Central Oklahoma

Senior software engineer with hands-on experience leading multi-agent AI workflows in financial trading infrastructure. Most notably, they applied a specialized agent setup on a high-frequency trading backend to cut delivery time from three weeks to ten days while improving validation against risk, performance, and compliance requirements.

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SG

Sindhu Gunti

Screened

Mid-level Full-Stack Java Developer specializing in cloud microservices and AI-driven platforms

Remote, USA5y exp
IntuitChristian Brothers University

Software engineer with Intuit experience shipping an end-to-end real-time financial insights product on AWS, using event-driven architecture with Kafka and Spark Streaming to process millions of records with low latency. Also delivers customer-facing React + TypeScript dashboards and has hands-on production operations experience, including resolving a database scaling incident via read replicas, query tuning, and connection pooling.

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DS

Mid-level Backend Software Engineer specializing in FinTech

Chennai, India3y exp
CitigroupUniversity at Buffalo

Backend engineer with Citigroup experience who built and evolved a self-service user provisioning/identity backend, cutting onboarding from 45 minutes to under 2 minutes. Demonstrates strong production-grade integration and reliability practices (isolated integrations, retries, rollback logic, heavy logging) plus secure API development in Python/FastAPI with OAuth scope-based authorization and incremental, low-risk rollout strategies.

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SC

Shujie Chen

Screened

Entry-Level Full-Stack Software Engineer specializing in web, mobile, and distributed systems

Remote0y exp
Jiangxi Arts & Ceramics Technology InstituteUSC

Backend engineer who built a Logistics-as-a-Service platform in Go, proactively refactoring a monolithic REST service into gRPC microservices to improve performance and maintainability. Led a 3-person team with disciplined code reviews, Dockerized DB migrations, and a canary-style rollout (5% traffic) monitored for latency and failures; also implemented JWT/OAuth2 RBAC and production-minded edge-case handling in an ordering system.

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LS

Mid-level Software Engineer specializing in cloud-native microservices and workflow automation

TX, USA5y exp
ServiceNowCalifornia State University, Long Beach

Enterprise platform engineer/product owner who led end-to-end delivery of customer-facing ServiceNow Service Catalog/workflow solutions, emphasizing reliability, security, and fast iteration. Built React/TypeScript portals with Node.js and Spring Boot backends, and improved microservices reliability at scale using Kafka, monitoring, and robust retry/timeout patterns.

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