Vetted Firebase Professionals

Pre-screened and vetted.

ES

Senior Software Test Engineer specializing in cross-platform QA and data-driven testing

Vancouver, WA14y exp
SonosUniversity of Puget Sound
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Mahad Rehan - Entry-Level Software Engineer specializing in full-stack web and AWS microservices in Vancouver, BC

Entry-Level Software Engineer specializing in full-stack web and AWS microservices

Vancouver, BC2y exp
AmazonQueen's University
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RL

Senior Python Developer specializing in cloud-native backend systems

Sussex, NJ10y exp
AmazonCal State Long Beach
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Keshav Agarwal - Junior Software Engineer specializing in full-stack systems and ML/GenAI

Junior Software Engineer specializing in full-stack systems and ML/GenAI

2y exp
InformaticaUniversity of Illinois Urbana-Champaign
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AA

Senior Full-Stack Engineer specializing in Python, cloud platforms, and scalable web systems

Schaghticoke, NY12y exp
DropboxNova Southeastern University
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DM

Senior Client Solutions & Customer Success Leader specializing in Enterprise AdTech and B2B SaaS

San Francisco, CA10y exp
LinkedInUC Berkeley
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DK

Mid-level Software Engineer specializing in distributed systems, AI, and FinTech

San Francisco, CA3y exp
Endeavor AIUniversity of Maryland, College Park
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SK

Staff-level Full-Stack/Platform Engineer specializing in cloud, serverless, and AI search

Remote17y exp
GenentechJawaharlal Nehru Technological University
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GU

Mid-level Full-Stack Software Engineer specializing in AWS microservices and GenAI

Seattle, WA4y exp
AmazonWestcliff University
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PA

Executive Software Engineering Leader specializing in digital transformation and omnichannel commerce

Chatsworth, CA18y exp
MGAEIIT Kharagpur
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MS

Junior Full-Stack Software Engineer specializing in React, APIs, and Industrial IoT data platforms

Pittsburgh, PA2y exp
Manufacturing Futures InstituteCarnegie Mellon University
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OB

Junior Software Engineer specializing in AWS cloud infrastructure and ML systems

Seattle, WA2y exp
Amazon Web ServicesUSC
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JB

Senior Full-Stack Engineer specializing in cloud-native SaaS and AI/ML integration

Austin, TX11y exp
PuzzleHRUniversity of Bristol
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SC

Mid-level Software Engineer specializing in real-time audio and WebRTC

Burlingame, CA3y exp
MetaSan José State University
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NN

Mid-level Full-Stack Java Developer specializing in cloud and healthcare systems

4y exp
AmazonGeorge Mason University
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KW

Intern Backend/Full-Stack Software Engineer specializing in cloud-native web systems

Shenzhen, China0y exp
TencentVirginia Tech
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AC

Senior Software Engineer specializing in FinTech and cloud platforms

Huston, TX11y exp
SalesforceUniversity of Houston
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IJ

Junior Data Scientist & Data Engineer specializing in ML and scalable data pipelines

2y exp
MicrosoftUSC
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AS

Senior Software Engineer specializing in cloud, data platforms, and LLM/RAG applications

Fremont, CA7y exp
Volvo GroupSan José State University
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AB

Mid-level AI/ML Engineer specializing in cloud MLOps and GenAI for fraud detection

New York, NY4y exp
StripeNJIT
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SG

Sanskar Gupta

Screened

Mid-level Full-Stack Developer specializing in Java/Spring Boot, React, and cloud microservices

KS, USA4y exp
DeloitteWichita State University

Backend engineer with hands-on experience building Python/Flask microservices using PostgreSQL/SQLAlchemy, JWT auth, Docker, and GitHub Actions CI/CD. Strong in performance and scalability work—migrated heavy processing to Celery/Redis, tuned queries with EXPLAIN ANALYZE and indexing, and delivered 50%+ API latency reduction. Also integrates AI workflows (OpenAI APIs) with batching/caching/fallbacks and has implemented multi-tenant data isolation patterns.

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BS

Mid-level Full-Stack Developer specializing in cloud-native backend services and real-time data platforms

Remote, USA4y exp
NetflixUniversity of Dayton

Backend/data engineering candidate with Netflix experience designing and migrating analytics platforms from batch to real-time streaming (Kafka/Flink) across AWS and GCP. Delivered measurable improvements (40% lower data delay, 99.9% accuracy) using phased rollouts, automated data validation (Great Expectations), and strong observability (Prometheus/Grafana), and proactively hardened pipelines with idempotency to prevent duplicate Kafka processing.

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