Vetted Software Development Engineers in the Bay Area

Pre-screened and vetted in the Bay Area.

Brian Paul - Junior Frontend Software Engineer specializing in FinTech and crypto products in San Francisco, CA

Brian Paul

Screened

Junior Frontend Software Engineer specializing in FinTech and crypto products

San Francisco, CA2y exp
CoinbaseToronto Metropolitan University

Frontend engineer with Coinbase experience building high-trust crypto product flows such as staking and asset wrapping, plus data-heavy verified pool visualizations. Stands out for scalable React/TypeScript architecture, clean data-transformation layers, and strong attention to maintainability, performance, and design-system consistency.

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JK

Mid-level Software Development Engineer specializing in cloud databases and distributed systems

Bay Area, CA5y exp
AmazonSan José State University
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JT

Senior Software Engineer specializing in distributed backend systems and AWS

Sunnyvale, CA10y exp
AmazonSan José State University
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MZ

Mid-level Software Development Engineer specializing in web and mobile commerce platforms

Sunnyvale, CA4y exp
AppleUC Santa Cruz
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AB

Senior Software Engineer specializing in scalable cloud microservices and AI integration

San Francisco, CA12y exp
MicrosoftSan José State University
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JC

Junior Software Engineer specializing in backend and full-stack web systems

San Jose, CA2y exp
ByteDanceNortheastern University
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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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Sri Charan Reddy Mallu - Mid-Level Software Development Engineer specializing in GenAI and full-stack cloud systems in Redwood City, CA

Mid-Level Software Development Engineer specializing in GenAI and full-stack cloud systems

Redwood City, CA5y exp
C3 AISan José State University

Full-stack engineer with experience across Magna, C3.ai, and Amazon, building GenAI-enabled products and finance transaction systems. Has shipped Next.js (App Router) + TypeScript features backed by Go/Python RAG pipelines, and emphasizes production quality via load testing, Selenium regression coverage, LLM-aware integration testing, and Azure observability. Also built LangGraph-orchestrated multi-step content generation workflows with robust retry/idempotency strategies.

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Anushka Bhagchandani - Intern Product & Software Engineer specializing in GenAI/LLM and e-commerce platforms in San Francisco, CA

Intern Product & Software Engineer specializing in GenAI/LLM and e-commerce platforms

San Francisco, CA2y exp
Scale AIUniversity of Washington

Software engineer (2+ years in India) and current GenAI intern who shipped LLM-powered review-writing enhancements at Myntra (Walmart-backed), using pilots and A/B tests to lift review quality by 5% in 30 days. Demonstrates strong LLM operations discipline (logging, dashboards, alerts, rollback) and fast incident response, plus experience delivering developer-focused workshops and public technical talks.

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SC

Mid-level Software Engineer specializing in backend systems and FinTech

San Francisco, CA4y exp
StripeSaint Louis University
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Sicheng Cao - Junior Software Engineer specializing in backend and distributed systems in Mountain View, CA

Junior Software Engineer specializing in backend and distributed systems

Mountain View, CA2y exp
IntuitRice University
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JR

Mid-level Frontend Engineer specializing in cloud enterprise applications

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

Mid-level Software Development Engineer specializing in AWS incident management and AI analytics

Fremont, CA5y exp
AmazonUniversity of Houston
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JG

Executive technology leader specializing in AI, LLMs, search, and platform engineering

San Francisco, CA18y exp
FreelanceMaulana Azad National Institute of Technology Bhopal
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HA

Mid-Level Software Development Engineer specializing in AWS edge AI and generative AI apps

San Francisco Bay Area, California6y exp
Amazon
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PC

Prateek C

Screened

Mid-Level Full-Stack Software Engineer specializing in Java/Spring, React, and AWS

San Francisco, CA6y exp
ShopifyClemson University

Backend/full-stack engineer (5+ years) with Shopify experience integrating LLM/RAG workflows into production APIs. Owned a Python TensorFlow Serving inference pipeline connected to Java microservices via gRPC, optimizing tail latency at ~10k concurrent load and improving retrieval relevance with embedding and evaluation work. Strong Kubernetes/EKS + GitOps/CI/CD background, including monolith-to-microservices migrations and event-driven streaming patterns.

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JD

Mid-level Backend Software Engineer specializing in distributed systems and reliability

San Jose, CA6y exp
AmazonStevens Institute of Technology
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LR

Mid-level Software Engineer specializing in cloud API authorization and distributed backend systems

East Palo Alto, CA5y exp
AmazonUniversity of North Texas
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NS

Mid-Level Software Engineer specializing in cloud-native systems, automation, and LLM-enabled robotics

Sunnyvale, CA6y exp
AmazonIndiana University Bloomington

React-focused engineer who built a full-stack analytics/test-metrics dashboard (React frontend + Python backend) and turned common UI pieces (data tables, filter panels, chart wrappers) into a reusable internal component library with docs, examples, and basic tests. Strong on profiling-driven performance optimization (React Profiler, memoization) and on owning ambiguous internal-tool projects end-to-end; now planning to package internal patterns into public open-source components.

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VS

Mid-Level Software Engineer specializing in full-stack web, AI telemetry, and real-time graphics

San Francisco, CA3y exp
C3 AINortheastern University

Product-focused full-stack engineer building a GenAI-powered case summarization workflow for a telemetry dashboard, spanning React/TypeScript UI (confidence indicators, reasoning traces) and Python/FastAPI backend with caching to control LLM latency/cost. Has operated services on AWS (ECS Fargate, RDS Postgres, S3) and Kubernetes, and has hands-on experience resolving real production latency incidents through query/index optimization and caching.

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PS

Senior Software Engineer specializing in backend infrastructure, cloud automation, and reliability

Mountain View, CA8y exp
OracleStony Brook University

End-to-end deployment owner for Oracle document delivery/print services in a hospital-like production environment, focused on reliability/performance at scale (thousands of systems). Also describes implementing event-driven RAG/agentic LLM workflows with attention to embeddings/index consistency, latency, and measurable improvements in response relevance and operational efficiency.

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