Vetted Jest Professionals

Pre-screened and vetted.

KT

Senior Software Engineer specializing in cloud-native platforms, LLMs, and FinTech

Los Angeles, CA16y exp
ZeroClickUCLA
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AW

Senior Software Engineer specializing in scalable web applications

14y exp
SmartsheetUniversity of South Alabama
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JM

Senior Software Engineer specializing in AWS serverless backend and data engineering

Austin, TX11y exp
AccentureUniversity of Texas at Austin
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PS

Mid-Level Software Engineer specializing in cloud-native backend and distributed systems

Austin, TX6y exp
CloudflareNYU
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AC

Senior Software Engineer specializing in FinTech and cloud platforms

Huston, TX11y exp
SalesforceUniversity of Houston
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SE

Staff AI & Data Engineer specializing in LLM systems and real-time data platforms

Salt Lake City, UT10y exp
Jump AILouisiana Tech University
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JB

Senior Software Engineer specializing in cloud-native systems and Generative AI

Miami, FL14y exp
MicrosoftUniversity of Florida
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OI

Senior Full-Stack Engineer specializing in FinTech and scalable distributed systems

El Paso, TX13y exp
AllstacksUniversity of Texas at El Paso
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NC

Mid-level Full-Stack Engineer specializing in scalable web platforms and AI/ML tooling

San Francisco, CA6y exp
Scale EvaluationUniversity of Cincinnati
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CS

Senior Full-Stack Java Developer specializing in cloud-native microservices

7y exp
Goldman Sachs
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SG

Sanskar Gupta

Screened

Mid-level Full-Stack Developer specializing in Java/Spring Boot, React, and cloud microservices

KS, USA4y exp
DeloitteWichita State University

Backend engineer with hands-on experience building Python/Flask microservices using PostgreSQL/SQLAlchemy, JWT auth, Docker, and GitHub Actions CI/CD. Strong in performance and scalability work—migrated heavy processing to Celery/Redis, tuned queries with EXPLAIN ANALYZE and indexing, and delivered 50%+ API latency reduction. Also integrates AI workflows (OpenAI APIs) with batching/caching/fallbacks and has implemented multi-tenant data isolation patterns.

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Surya Teja - Mid-level Backend/Full-Stack Engineer specializing in AI and FinTech payments in Tempe, AZ

Surya Teja

Screened

Mid-level Backend/Full-Stack Engineer specializing in AI and FinTech payments

Tempe, AZ4y exp
StripeArizona State University

Full-stack engineer who has owned an operational reporting/dashboard product end-to-end—building a React UI, designing/implementing FastAPI services, and deploying/operating on AWS. Demonstrates strong performance engineering (Postgres query/index tuning using EXPLAIN ANALYZE) with concrete impact (reports reduced from tens of seconds to a few seconds) and a reliability mindset across observability, migrations, and resilient third-party/ETL integrations.

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Paul Liu - Senior Software Engineer specializing in cloud-native backend and web/mobile apps in Seattle, WA

Paul Liu

Screened

Senior Software Engineer specializing in cloud-native backend and web/mobile apps

Seattle, WA8y exp
TeslaUniversity of Calgary

Backend engineer with Tesla experience building Python-based, serverless microservices for a supply chain portal, including a MongoDB-backed tracking/logging system and a reconciler Lambda to manage retries and failures. Has hands-on Kubernetes (EKS) and GitOps (Argo CD) experience, plus real-time Kafka pipelines for fleet/IoT telemetry and proxy-based migrations from monolith systems to AWS databases.

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JY

Jay Yepuri

Screened

Mid-level Software Engineer specializing in AWS backend and cloud infrastructure

Seattle, WA4y exp
AmazonIndiana University Bloomington

Full-stack engineer with AWS Skill Builder experience building internal content-management and search workflows in TypeScript across React and Node.js. They drove a shift from keyword to semantic search using OpenSearch and Bedrock Titan Embeddings, delivering a 5x reduction in discovery time while also improving production reliability and observability for large-scale content workflows.

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Jenya Rusinova - Mid-level Frontend Engineer specializing in cloud enterprise applications in East Palo Alto, CA

Mid-level Frontend Engineer specializing in cloud enterprise applications

East Palo Alto, CA3y exp
Amazon Web ServicesSaint Petersburg State University of Economics

Frontend-focused product engineer with experience owning production launches in observability/monitoring, including extending an existing web-only service to support mobile users without disrupting current customers. Stands out for balancing speed and safety through feature flags, regional beta rollouts, bug bashes, and close collaboration with PM, design, and backend teams in ambiguous environments.

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BS

Mid-level Full-Stack Developer specializing in cloud-native backend services and real-time data platforms

Remote, USA4y exp
NetflixUniversity of Dayton

Backend/data engineering candidate with Netflix experience designing and migrating analytics platforms from batch to real-time streaming (Kafka/Flink) across AWS and GCP. Delivered measurable improvements (40% lower data delay, 99.9% accuracy) using phased rollouts, automated data validation (Great Expectations), and strong observability (Prometheus/Grafana), and proactively hardened pipelines with idempotency to prevent duplicate Kafka processing.

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Ryan Crabbe - Junior Full-Stack/Mobile Engineer specializing in React Native and NestJS in Remote

Ryan Crabbe

Screened

Junior Full-Stack/Mobile Engineer specializing in React Native and NestJS

Remote1y exp
Menu-MeUC Berkeley

Built an AI-powered restaurant menu rewriting app that generates diet-constrained menus from photos, with a backend designed around bounded contexts and a lightweight CQRS approach. Demonstrates strong multi-tenant PostgreSQL design (RLS, tenant-scoped queries) and performance tuning (partitioning, keyset pagination, composite/partial indexes), plus AI workflow orchestration using Redis/BullMQ and Vercel AI SDK with structured outputs and evals; reduced p95 latency ~35–50% via racing LLM requests and caching.

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Yeshwanth Sai Pala - Mid-level Full-Stack Developer specializing in cloud microservices and AI-driven FinTech in Remote, USA

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

Remote, USA4y exp
StripeSouthern Arkansas University

Stripe engineer who shipped an end-to-end merchant fraud insights dashboard, spanning Spring Boot/Kafka risk-scoring services and a React+TypeScript UI. Focused on low-latency, high-volume transaction processing and production operations on AWS (EKS/CloudWatch), including handling a real traffic-spike latency incident via query optimization, indexing, and rate limiting.

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Shloka Reddy - Mid-level Software Engineer specializing in FinTech full-stack development in San Francisco Bay Area, CA

Shloka Reddy

Screened

Mid-level Software Engineer specializing in FinTech full-stack development

San Francisco Bay Area, CA3y exp
WealthfrontUC Berkeley

Frontend-leaning full-stack engineer with experience spanning early-stage startup work at Rundoo and a higher-trust fintech environment at Wealthfront. They’ve owned complex permission-based household/account experiences end-to-end in Next.js/React, with strong instincts around data flow, UI correctness, performance, and production pragmatism.

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Garry Huang - Senior Frontend Engineer specializing in React, TypeScript, and cloud platforms in New York, NY

Garry Huang

Screened

Senior Frontend Engineer specializing in React, TypeScript, and cloud platforms

New York, NY9y exp
AmazonStony Brook University

Front-end engineer with AWS console experience who has owned customer-facing workflow improvements balancing usability, security, and compliance constraints. Stands out for combining browser performance optimization, metrics-driven UX validation, and TypeScript/API typing rigor in complex enterprise-style interfaces.

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MO

Mid-Level Software Engineer specializing in cloud-native distributed systems

Bellevue, WA7y exp
AmazonUniversity of Washington

Gameplay engineer with hands-on ownership of a real-time C++ combat ability system, including diagnosing and eliminating large-scale combat frame spikes by refactoring hit detection to an event-driven, animation-notify approach (cut collision checks ~80%). Also implemented UE5 networked abilities (dash) with client-side prediction and server-authoritative reconciliation, plus projectile ballistics validated through debug spline visualizations and unit tests.

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