Vetted Stored Procedures Professionals

Pre-screened and vetted.

SS

Mid-level Data Engineer specializing in cloud lakehouse platforms (Azure/AWS/Snowflake)

San Francisco, CA5y exp
StripeEastern Illinois University
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SP

Mid-level Full-Stack Developer specializing in AWS modernization and Java/Angular

Dallas, TX6y exp
AmazonHumphreys University
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CL

Senior Software Engineer specializing in DevSecOps and Azure cloud infrastructure

Redmond, WA12y exp
MicrosoftStevens Institute of Technology
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ST

Senior Software Engineer specializing in data engineering, BI analytics, and AI/ML

Moulton, AL11y exp
DropboxFlorida State University
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PJ

Senior Full-Stack Engineer specializing in cloud-native web and mobile platforms

Round Rock, TX18y exp
SpotSourceTexas State University
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KS

Staff Software Engineer specializing in backend platforms and FinTech/SaaS systems

Austin, TX15y exp
TuroCornell University
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Changhee Lee - Mid-level Software Engineer and Product Manager specializing in AI and financial data platforms in Remote

Changhee Lee

Screened

Mid-level Software Engineer and Product Manager specializing in AI and financial data platforms

Remote4y exp
AI MelodyCornell University

Full-stack engineer with deep Next.js App Router + TypeScript experience who has shipped and owned production features in a fashion/wardrobe/resale domain. Demonstrated measurable impact across the stack: +25% engagement, 30% faster load times, 40% fewer errors, plus durable Temporal workflows and Postgres analytics/query tuning for real-time dashboards.

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Jyothi Kumar - Senior Software Engineer specializing in full-stack enterprise SaaS and digital marketing in Mountain View, CA

Jyothi Kumar

Screened

Senior Software Engineer specializing in full-stack enterprise SaaS and digital marketing

Mountain View, CA10y exp
AtlassianSan Jose State University

Atlassian engineer who grew from frontend into full-stack ownership, spanning React/TypeScript UI architecture, backend data pipelines, observability, and Kotlin/Spring Boot integrations. They describe owning Confluence profile-service integration tied to signup growth, plus building a marketing analytics platform with caching, reusable components, and data-quality tooling that increased stakeholder adoption by 30%.

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WB

Senior Software Engineer specializing in cloud-native full-stack and FinTech systems

San Antonio, TX12y exp
AccentureUniversity of Texas at Austin
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SB

Mid-Level Full-Stack Software Engineer specializing in FinTech and data platforms

Jersey City, NJ4y exp
Capital OneUniversity of Cincinnati
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WB

Senior Software Engineer specializing in backend systems and data platforms

San Diego, CA12y exp
TeradataUniversity of Texas at Austin
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ES

Senior Software Engineer specializing in scalable cloud platforms and search systems

Grand Prairie, TX14y exp
IntelUniversity of Texas at Arlington
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SY

Mid-Level Software Engineer specializing in Java microservices and reactive systems

Austin, TX6y exp
AppleUniversity of Memphis
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DS

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

TX, USA5y exp
AmazonCalifornia State University, East Bay
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DC

Executive IT leader specializing in digital transformation and enterprise systems

Minnesota, USA28y exp
Heliene Inc.St. John's University
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MR

Mohith Reddy

Screened

Mid-level BI & Analytics Analyst specializing in data engineering and ML insights

Denver, CO5y exp
UberRegis University

Frontend engineer with experience building real-time trading operations dashboards in React and TypeScript, focused on dense operational data, performance tuning, and maintainable component design. They have production experience optimizing large-data UIs and academic exposure to map-based weather applications using Google Maps and Mapbox, while currently requiring future H-1B sponsorship.

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Michael Yudanin - Director-level Engineering Leader specializing in AI/ML and enterprise software in San Ramon, CA

Director-level Engineering Leader specializing in AI/ML and enterprise software

San Ramon, CA19y exp
eGainPurdue University

Engineering leader with 20+ years of experience who still codes daily, currently directing AI-driven knowledge management systems at eGain. He stands out for combining large-scale people leadership with deep technical ownership of LLM/NLI pipelines and for a track record of turning complex operational problems into high-impact systems, including a manufacturing platform that boosted throughput 4x and expanded across 11 plants.

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SR

Mid-level Data & Business Analyst specializing in analytics engineering and BI

6y exp
AdobeUniversity of Wisconsin–Madison

Data/analytics professional with experience across manufacturing and enterprise environments (Wisconsin School of Business project with CNH Industrial; roles/projects at Ascensia Technologies, S&C, and Adobe). Has hands-on work combining warranty/lifecycle tables with technician free-text notes using TF-IDF + tree models (XGBoost/Random Forest), and deep experience in entity resolution/reconciliation across mismatched financial systems using Python/SQL and fuzzy matching, with production-grade pipeline practices in Azure Data Factory/Databricks.

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GV

Mid-level Full-Stack Software Engineer specializing in Java/Spring Boot and Angular

Frisco, TX5y exp
CiscoPurdue University

Full-stack engineer with Cisco supply-chain and Wipro internal platform experience, focused on customer-facing UI performance and secure backend services. Built a bulk Excel inventory upload feature (Spring Boot/Apache POI) that cut manual effort ~80%, and delivered high-scale Angular/React dashboards with strong reliability/observability (FastAPI, JWT, Docker, AWS, AppDynamics).

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Jason Salas - Senior QA Engineer specializing in game quality ownership, automation, and analytics in Los Angeles, California

Jason Salas

Screened

Senior QA Engineer specializing in game quality ownership, automation, and analytics

Los Angeles, California9y exp
Riot GamesArizona State University

QA/engineering background spanning Riot Games (VALORANT leaderboard systems) and early-stage startups. Has hands-on experience improving performance and reliability via caching, rate limiting, deduplication/idempotency, and shipping/validating high-stakes production hotfixes; also builds Next.js/TypeScript projects and automation/internal tools (Python).

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Kunal Singh Pundir - Mid-level Full-Stack Developer specializing in cloud microservices and GenAI systems in USA, USA

Mid-level Full-Stack Developer specializing in cloud microservices and GenAI systems

USA, USA5y exp
UberNortheastern University

Built and owned an end-to-end AI-driven decisioning platform at Uber, combining LLM orchestration with typed tool contracts and a Snowflake-based RAG pipeline to make decisions fully auditable. Delivered large-scale measurable impact (120k requests/day, 18k cases auto-resolved/month) while improving ops SLA from 3 days to 6 hours and cutting incident response time nearly in half. Previously led a high-risk strangler-fig modernization of a legacy insurance platform across 120+ microsites at Accenture, coordinating across multiple squads with feature-flagged parallel cutovers.

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Kiran Kumar - Mid-level Software Engineer specializing in Java microservices and GenAI automation in USA

Kiran Kumar

Screened

Mid-level Software Engineer specializing in Java microservices and GenAI automation

USA4y exp
AirbnbAuburn University at Montgomery

Software engineer (4+ years) with hands-on production GenAI experience: built an AI incident triage assistant that summarizes production logs for on-call engineers and iterated it using real incident metrics (time-to-signal, triage duration). Also shipped a RAG-based customer support knowledge assistant using embeddings + vector retrieval with strong guardrails (relevance thresholds/abstain, sanitization, auditing) and a formal eval loop (500-query gold set) that drove measurable retrieval improvements.

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