Vetted Software Engineers

Pre-screened and vetted.

PS

Senior Frontend Engineer specializing in React applications

San Jose, CA10y exp
Cisco
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AJ

Anshul Joshi

Screened ReferencesStrong rec.

Mid-Level Software Engineer specializing in distributed systems and GenAI

Austin, TX4y exp
University of Texas at AustinUniversity of Texas at Austin

Capgemini engineer with 4+ years building and deploying high-availability, low-latency fraud detection APIs and multi-cluster distributed systems for a Fortune 20 bank, including zero-downtime production rollouts and multi-layer (SQL/network/hardware) performance debugging. Also built a Python + OpenAI/LangChain LLM-powered grading workflow for Austin School for Women, cutting feedback time from 90 minutes to 5 minutes per submission for 200+ learners.

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Satya Kumar Itekela - Senior Frontend Engineer specializing in high-performance React/Next.js web apps in Remote, Canada

Satya Kumar Itekela

Screened ReferencesStrong rec.

Senior Frontend Engineer specializing in high-performance React/Next.js web apps

Remote, Canada8y exp
AutodeskDalhousie University

Frontend engineer with experience at Autodesk and Quantify, leading and scaling Next.js/React + TypeScript products from architecture through QA. Strong focus on performance (Core Web Vitals, ISR, caching/CDN) and real-time interfaces (WebSockets, Chart.js/D3), with measurable wins like 30–40% bundle reduction and ~60% less data overfetching using GraphQL/Apollo.

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KM

Kimberly Michela

Screened ReferencesStrong rec.

Junior Full-Stack Software Engineer specializing in web apps and developer tools

Toronto, Canada1y exp
Game of StreaksUniversity of Toronto

Frontend engineer who built the full frontend for gameofstreaks.com using React/Next.js with an emphasis on responsive design, accessibility, SEO, and performance profiling. Has experience refactoring legacy HTML/CSS/JS sites into reusable React components and shipping quickly with unit tests, CI/CD, and branch-based deployments; also collaborates with designers in hackathon settings (e.g., an AI interview practice app).

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Deeksha V - Mid-Level Software Engineer specializing in cloud data platforms and FinTech payments in Atlanta, GA

Deeksha V

Screened ReferencesStrong rec.

Mid-Level Software Engineer specializing in cloud data platforms and FinTech payments

Atlanta, GA4y exp
Delta Air LinesUniversity of Central Florida

Backend engineer focused on financial systems, having evolved payments and reconciliation platforms using Python/FastAPI and PostgreSQL with an emphasis on idempotency, validation, and consistency. Has led monolith-to-services migrations using feature flags and shadow traffic, and implements defense-in-depth security (OAuth2/JWT plus DB-level row security) for multi-tenant environments.

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KP

KrishnaVarshith Pabbisetty

Screened ReferencesStrong rec.

Mid-level Backend Software Engineer specializing in Spring Boot, microservices, and cloud-native AI

Bay Area, CA4y exp
TemenosSan José State University

Backend engineer with experience modernizing a large-scale procurement platform at Jio Platforms by breaking a monolith serving 35 business units into Spring Boot microservices, improving uptime and cutting report latency ~30%. Also built high-concurrency FastAPI systems (200ms at ~500 concurrent users) with strong security (JWT/OAuth2/RBAC), event-driven Kafka integrations, and reliability patterns like exactly-once delivery for ~1M monthly triggers.

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THAMES HARRISON - Engineering Manager specializing in enterprise SaaS, cloud architecture, and AI/ML in Gainesville, FL

THAMES HARRISON

Screened ReferencesStrong rec.

Engineering Manager specializing in enterprise SaaS, cloud architecture, and AI/ML

Gainesville, FL17y exp
Cornerstone OnDemandUniversity of Florida

Senior engineering manager who stays hands-on (~50/50) while leading teams through design reviews, code reviews, and production issue triage. Shipped scalable platform features (notifications, user action tracking via microservices) with strong quality/performance practices (TDD, high-load testing). Owned a complex cross-system SSO/IdP incident end-to-end, identifying a SameSite+iFrame root cause and delivering a configurable product fix plus support documentation.

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RO

Rafael Ortega

Screened ReferencesStrong rec.

Senior Full-Stack & AI Engineer specializing in LLM integrations and cloud-native systems

Remote (Texas)8y exp
BlocUnitedNew Mexico Tech

Backend/data engineer with hands-on production experience building FastAPI Python APIs and AWS-native platforms (Lambda/API Gateway, SQS, ECS Fargate) with Terraform + GitHub Actions CI/CD and strong reliability practices (JWT/RBAC, retries/timeouts, structured errors/logging). Also built AWS Glue ETL pipelines (S3/RDS to curated S3/Athena) with schema evolution and data quality controls, modernized legacy processing via parallel-run validation and phased cutovers, and has demonstrated SQL tuning impact (seconds to <200ms) plus incident ownership for batch pipeline SLAs.

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BH

Bryan Holland

Screened ReferencesStrong rec.

Executive AI Product & Controls Engineering Leader specializing in agentic video editing and EV systems

SF Bay Area, CA11y exp
MAGICSEVEN AIUniversity of Michigan

Startup builder (MagicSeven) who designed and implemented a browser-based, agentic video editor end-to-end, including an AWS event-driven multimodal LLM “indexing” pipeline and an orchestration LLM agent for searching and manipulating footage. Demonstrates deep video file/codec knowledge plus practical production hardening of LLM workflows (format validation, plan/execute, S3-based state for debuggability).

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TW

Senior Machine Learning Engineer specializing in AI systems, LLMs, and MLOps

San Francisco, CA14y exp
SiftUniversity of Central Florida
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SL

Senior Software Engineer specializing in backend microservices and data platforms

Colorado Springs, CO12y exp
ZocdocUniversity of Minnesota
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Jayadeep Nukala - Mid-level Software Engineer specializing in enterprise AI and FinTech integrations in San Francisco Bay Area, CA

Jayadeep Nukala

Screened ReferencesStrong rec.

Mid-level Software Engineer specializing in enterprise AI and FinTech integrations

San Francisco Bay Area, CA2y exp
KayaUniversity of Texas at Dallas

Built and deployed an enterprise AI testing solution at a startup, then customized and scaled it inside Citigroup over the course of a year to support 40+ projects and 1,000+ daily users. Brings hands-on production experience with multi-agent LLM workflows, RAG, enterprise deployment infrastructure, and real-world incident handling in AI-driven data pipelines.

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AP

Andres Pegado Boureghida

Screened ReferencesStrong rec.

Engineering executive specializing in cloud-native SaaS for data-intensive, regulated domains

Chicago, IL12y exp
Walker & DunlopIllinois Institute of Technology

Former CTO at Enodo who led development of programmatic parsers to extract unstructured data from real-estate financial documents (rent rolls and T12s), validating with users via prototypes before productionizing. Emphasizes accuracy-driven engineering and scalable test-suite growth based on real user samples, and has experience scoping complex product ideas (e.g., browser-based narrative editor) down to an MVP.

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John Juszczak - Senior Software Engineer specializing in C++ tooling, CI/CD, and Unreal Engine pipelines in Los Angeles, CA

John Juszczak

Screened

Senior Software Engineer specializing in C++ tooling, CI/CD, and Unreal Engine pipelines

Los Angeles, CA10y exp
Starpunch StudiosDePaul University

Gameplay programmer with hands-on Unreal Engine multiplayer shooter experience, notably overhauling aiming/ADS using Enhanced Input and curve-table-driven response curves plus subtle aim assist. Demonstrates strong networking judgment (client-side prediction vs server authority for anti-cheat) and a systems mindset, adding automation/analytics to speed iteration and improve decision-making.

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YT

Senior Software Development Engineer specializing in backend systems and data pipelines

5y exp
Cardinal HealthJB Institute of Engineering and Technology

Backend-focused engineer with healthcare and finance experience (Cardinal Health, JPMorgan) who has owned end-to-end data flows powering dashboards, emphasizing strong validation/data quality and measurable frontend performance gains. Has shipped Spring Boot REST APIs with versioning and Swagger docs, and has stood up an MVP task management system with GitHub Actions CI/CD, Docker, and AWS EC2 deployment.

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AZ

Anna Zhou

Screened

Mid-level Backend Software Engineer specializing in Go, AWS, Kafka, and DevOps

Seattle, WA5y exp
NordstromUniversity of Washington

Checkout-focused engineer with hands-on experience integrating many dependent microservices and Kafka event flows, including managing SLA/timeout issues with partner teams. Led a PayPal Braintree SDK migration across iOS/Android/web with strong testing discipline, and built an AWS Lambda automation to clean up stale CloudFormation test stacks to reduce monthly AWS spend.

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PC

Pranit Chetta

Screened

Senior Full-Stack Java Engineer specializing in cloud-native AI and enterprise platforms

Wilmington, DE11y exp
JPMorgan ChaseGujarat Technological University

Full-stack product engineer who owned a live-events digital ticketing platform end-to-end, including blockchain-based ticket validation and high-traffic booking flows. Stands out for combining Angular/React frontend work with Java/Spring Boot backend architecture, plus strong production reliability practices around concurrency control, queues, observability, and UX optimization.

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Manyuvraj Sandhu - Mid-level Full-Stack Developer specializing in Next.js, AI-driven apps, and payments in Calgary, AB

Mid-level Full-Stack Developer specializing in Next.js, AI-driven apps, and payments

Calgary, AB4y exp
Dasens AIUniversity of Waterloo

Frontend engineer who has led complex React + TypeScript products end-to-end, including a real-time canvas-based digital signature editor and a multi-step AI workflow dashboard. Demonstrates strong architecture and performance instincts (state machines for streaming async updates, bundle/render optimizations) plus pragmatic shipping practices (feature flags, automated tests, analytics and user interviews), with a quantified impact from refactoring (~30% less duplicated UI code).

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Dana Zahreddine - Mid-level Full-Stack Software Engineer specializing in enterprise SaaS in Remote, USA

Mid-level Full-Stack Software Engineer specializing in enterprise SaaS

Remote, USA5y exp
Hello-EQAmerican University of Beirut
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SG

Senior Full-Stack Software Engineer specializing in cloud microservices and data platforms

New York, NY9y exp
S&P GlobalUniversity of Texas at Dallas
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RS

Mid-level Software Engineer specializing in backend systems and distributed services

North Carolina, USA4y exp
ServiceNowUniversity of North Carolina at Charlotte
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VR

Mid-Level Software Engineer specializing in Java/Spring Boot microservices and cloud DevOps

NJ, USA5y exp
Goldman SachsStevens Institute of Technology
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