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Vetted Software Engineers

Pre-screened and vetted.

PythonDockerJavaScriptCI/CDReactAWS
Bay AreaRemoteNYC MetroDFW MetroplexGreater SeattleLos Angeles MetroGreater BostonChicago MetroDMVAustin Metro
CH

Charles Hernandez

Mid-level Software Engineer specializing in game engine and graphics performance

Irvine, CA4y exp
PlayStation
CC++UnityJavaKotlinGit+75
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CR

Calvin Rien

Senior Unity Developer specializing in VR/MR/XR

Los Angeles, CA
Magnit
UnityiOSAndroidJSONOpenCVC#+59
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VN

vamsi Nelluri

Mid-Level Java Software Developer specializing in cloud microservices and APIs

3y exp
Humana
JavaJava EEJavaScriptTypeScriptSQLHTML+83
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KK

Karthik Kukkapalli

Senior Full-Stack Engineer specializing in cloud-native Java microservices and GenAI

New York, NY7y exp
JPMorgan Chase
AgileAngularAngularJSApache KafkaApache TomcatAWS+250
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AM

Aaron Mcanerney

Mid-level Backend Software Engineer specializing in data platforms and reporting

Pleasanton, CA5y exp
Workday
AWSAWS LambdaBusiness IntelligenceCachingCross-functional CollaborationData Warehousing+26
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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.”

JavaPythonC++GoTypeScriptSpring Boot+126
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SK

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.”

ReactNext.jsJavaScriptTypeScriptTailwind CSSSEO+114
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DV

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.”

PythonSQLAWSETL PipelinesREST APIsEvent-Driven Architecture+94
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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).”

Amazon EC2AWSBootstrapCComputer VisionCSS+68
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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.”

JavaPythonHTMLCSSJavaScriptTypeScript+117
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TH

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.”

Distributed systemsOAuthAgileScrumJiraC#+107
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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.”

AgileAngularAuthenticationAWSAWS LambdaAzure Data Factory+240
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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).”

AWSPythonTypeScriptReactChatGPTProduct Management+118
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SL

Steven Leo

Senior Software Engineer specializing in backend microservices and data platforms

Colorado Springs, CO12y exp
ZocdocUniversity of Minnesota
PythonNode.jsTypeScriptSQLBashREST APIs+77
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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.”

Amazon EKSAmazon S3API DevelopmentArgo CDIncident ResponseInfrastructure as Code+94
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JJ

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.”

C++C#PythonJavaBashSQL+85
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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.”

API DevelopmentAWSCI/CDDevOpsDockerGo+53
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MS

Manyuvraj Sandhu

Screened

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).”

AdaptabilityAgileAlgorithmsAmazon EC2Amazon S3Bash+102
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SG

Sean Gardner

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

New York, NY9y exp
S&P GlobalUniversity of Texas at Dallas
JavaScriptTypeScriptPythonJavaC#Go+48
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VR

Vishal Rao Mandala

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

NJ, USA5y exp
Goldman SachsStevens Institute of Technology
AgileAnsibleAndroidAngularAWSAWS IAM+75
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TL

Tan Le

Senior Software Engineer specializing in ML/AI and scalable data platforms

San Jose, CA11y exp
LabelboxNational University of Singapore
RubyPythonJavaREST APIsGraphQLVue.js+56
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JF

Joel Franklin Stalin Vijayakumar

Mid-level AI/ML Software Engineer specializing in Generative AI and NLP

Remote5y exp
EmerjenceBoston University
Generative AIDeep LearningMachine LearningComputer VisionArtificial IntelligenceData Analysis+103
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