Vetted Mocha Professionals

Pre-screened and vetted.

VA

Staff Full-Stack & AI Engineer specializing in LLM agents, RAG, and cloud-native systems

Plano, TX11y exp
UpboundSonoma State University
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RC

Staff Software Engineer specializing in frontend platforms and healthcare UX

Houston, TX9y exp
TwilioUniversity of Houston
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ML

Staff Software Engineer specializing in cloud-native distributed systems for healthcare

Redding, CA11y exp
HumanaUC Davis
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PL

Senior Full-Stack Engineer specializing in data-intensive enterprise and public sector platforms

Boston, MA18y exp
ONCORPS AIHack Reactor
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CQ

Senior Full-Stack Software Engineer specializing in web and mobile platforms

Bellevue, WA12y exp
ChewyGeorge Washington University
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JL

Senior Full-Stack Python Engineer specializing in Django, microservices, and cloud platforms

San Diego, CA11y exp
DropboxJacksonville University
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VS

Mid-level Backend & Full-Stack Engineer specializing in AWS serverless systems

Hillsboro, OR3y exp
AmazonOklahoma State University
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MM

Mid-level Software Engineer specializing in full-stack AI and LLM applications

Plano, TX3y exp
Scale AITrine University
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RS

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

San Diego, CA10y exp
BitlyCalifornia State University, Chico
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BS

Mid-level Full-Stack Software Engineer specializing in AI platforms and LLM applications

Santa Clara, CA4y exp
NVIDIAIllinois Institute of Technology
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KS

Senior Software Engineer specializing in AWS-native backends and AI/ML

Denver, CO11y exp
WestLinkRice University
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MG

Senior Full-Stack Engineer specializing in backend systems and cloud-native microservices

Pace, FL11y exp
micro1Florida Institute of Technology
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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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JM

Senior Software Engineer specializing in backend systems and FinTech APIs

Raleigh, NC12y exp
AllstacksASA College
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AV

Anuj Vakil

Screened

Mid-level Software Engineer specializing in distributed data infrastructure

Palo Alto, CA3y exp
AmazonSan Jose State University

Engineer who uses AI in a disciplined, practical way—leveraging it to speed debugging, generate edge-case tests, and improve coverage while retaining ownership of system design and production validation. Has experimented with chained AI tools but prefers simpler workflows when they reduce noise and review overhead.

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ST

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

Boston, MA5y exp
WalmartCalifornia State University

Backend-focused engineer who uses AI pragmatically as a force multiplier rather than a substitute for engineering judgment. They stand out for applying structured, agent-style workflows to code generation, debugging, and production log analysis while maintaining strong emphasis on correctness, performance, and reliability in backend and microservices environments.

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SR

Sanjana Reddy

Screened

Mid-level Backend Software Engineer specializing in cloud-native microservices

Remote, USA3y exp
MercuryArizona State University

Product-minded software engineer with experience shipping AI-powered financial insights (spend forecasting, cashflow, credit optimization) and building real-time analytics systems using React/TypeScript and FastAPI. Has designed microservices with RabbitMQ/gRPC and strong observability (Prometheus/Grafana/OpenTelemetry), and also built an internal Figma plugin adopted by designers that reduced export time by 50%.

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TJ

Senior Full-Stack Software Engineer specializing in FinTech payments and fraud systems

Plano, TX8y exp
AffirmTexas Tech University

Backend/data engineer with production experience building credit/fraud enrichment services and checkout pipelines on AWS (EKS + Lambda) using FastAPI, Kafka, Postgres, and Redis, with a strong focus on reliability patterns (timeouts/retries/circuit breakers) and observability. Has also built AWS Glue/PySpark ETL into S3/Redshift with schema evolution and data quality controls, and modernized legacy credit decisioning into Java/Node microservices with parallel-run parity validation and feature-flag rollouts.

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