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Vetted Eclipse Professionals

Pre-screened and vetted.

UM

Upender Mula

Screened

Mid-level Software Engineer specializing in backend systems, real-time data pipelines, and FinTech

San Francisco, CA5y exp
StripeSaint Louis University

Backend/platform engineer who has owned real-time reporting and streaming analytics systems end-to-end, combining FastAPI/Postgres APIs with Kafka consumers, Celery background jobs, and Redis caching. Strong DevOps/GitOps experience deploying Python/Node microservices to AWS EKS with Helm, ArgoCD/FluxCD, and CI pipelines, and has supported phased on-prem to AWS migrations using Terraform and traffic cutovers.

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JC

Jeffrey Chan

Screened

Director-level Engineering Manager specializing in simulation, graphics, and real-time 3D

San Francisco, CA16y exp
CruiseStanford University

Hands-on engineering leader with early-stage startup experience who balances coding with executive alignment and delegation. Has delivered offline-capable SaaS mobile demos under tight timelines, built monetization-ready mobile architectures (dynamic cloud assets + in-app purchases), and increased product velocity via component-based game architecture plus stakeholder self-serve tooling.

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DI

Mid-level Software Engineer specializing in Microsoft 365 Copilot and Outlook Mobile

Aurora, IL6y exp
MicrosoftDuke University
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SN

Mid-Level Backend Software Engineer specializing in payments and real-time analytics

CA5y exp
StripeSaint Louis University
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AM

Mid-level Software Engineer specializing in full-stack and distributed backend systems

San Francisco, CA5y exp
StripeSaint Louis University
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GL

George Liu

Screened

Intern Software Engineer specializing in full-stack, backend, and AI agent systems

Fremont, CA1y exp
TeslaUniversity of Waterloo

Backend engineer with Tesla experience who redesigned vehicle registration into a step-based, region-configured workflow across 4–5 microservices, enabling partial saves and reducing customer drop-off. Has hands-on experience scaling and securing Python/FastAPI APIs (OAuth2/JWT, CORS), migrating cold data from MySQL to MongoDB via Kubernetes CronJobs, and implementing RBAC/RLS with Supabase + Postgres.

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PG

Pankaj Goyal

Screened

Director-level Engineering Leader specializing in FinTech, IAM, and AI/ML platforms

SF Bay Area, CA22y exp
PostLoShri Govindram Seksaria Institute of Technology and Science

Player-coach backend leader at PostLo who led a major backend architecture upgrade to enable AI-driven features by separating transactional systems from AI workloads (vector embeddings/image validation) and adding async processing for heavy jobs. Also owned production reliability improvements (query/index optimization, workload isolation, monitoring and load testing) and translated an ambiguous retention goal into a shipped cashback rewards feature with auditable transactions.

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YC

Junior Software Development Engineer specializing in automated reasoning and AI safety

2y exp
Amazon Web ServicesUniversity of Pennsylvania
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RB

Mid-level Software Engineer specializing in Python, ML/LLM systems, and scalable microservices

NJ, USA5y exp
Scale AIConcordia University
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AS

Mid-level Software Engineer specializing in real-time backend systems and FinTech payments

San Francisco, CA6y exp
StripeWebster University
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JL

Senior Software Engineer specializing in Python, cloud microservices, and conversational AI

Chapel Hill, NC11y exp
GoogleUniversity of North Carolina at Chapel Hill
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AD

Anirudha Deo

Screened

Senior Engineering Manager specializing in cloud-native e-commerce and payments platforms

San Jose, CA23y exp
GoogleNagpur University

Senior Engineering Manager with large-scale platform/API ownership at eBay, leading a globally distributed team and redesigning Order public APIs used by external developer ecosystems at ~800M requests/day, delivering 84% performance gains and reducing compute by ~300 VMs. Also led Google CRES ETL migration work on GCP, creating reusable Python libraries to standardize configuration across 10 integrations and improve developer productivity.

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JF

Executive Engineering Leader specializing in AI-driven SaaS and IoT platforms

Los Angeles, CA22y exp
VantivaBabson College

Engineering leader who built and delivered an IoT smart-spaces platform for the self-storage and smart-living domains, translating customer requirements into architecture, capability maps, and a multi-milestone roadmap. Personally stood up missing AI/ML capabilities (including churn prediction) using Databricks (Delta Lake/MLflow), enabling follow-on features like energy optimization and security/anomaly detection. Scaled an org from 20 to 80+ with disciplined Agile planning (Jira Advanced Roadmaps/Confluence) and strong executive/customer-facing leadership during high-stakes customer commitments.

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SM

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

CA6y exp
NetflixUniversity of South Florida
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PR

Mid-Level Full-Stack Software Engineer specializing in Python/Java microservices and cloud

5y exp
MetaTexas Tech University
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EL

Senior Full-Stack Software Engineer specializing in Telehealth and FinTech

Santa Clara, CA11y exp
AmazonUCLA
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YL

Senior Software Engineer specializing in cloud-native microservices and observability

Dublin, CA20y exp
OracleUniversity of Waterloo
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AS

Senior Software Engineer specializing in AWS-based distributed systems and FinTech platforms

Seattle, WA8y exp
AmazonBirla Institute of Technology, Mesra

Backend engineer with Amazon experience building large-scale, automated financial/accounting and pricing systems on AWS. Designed a fault-tolerant Step Functions + DynamoDB workflow platform handling 100K+ messages/sec to compute fair values and generate journal entries in under 3 seconds, and led safe API refactors using shadow mismatch testing. Also uncovered a major legacy pricing bug (tax vs non-tax swap) that cut mismatch rates from 5–10% to ~0.5% and materially improved price acceptance/business outcomes.

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SL

Staff Software Engineer specializing in FinTech, AI/ML, and cloud microservices

Remote14y exp
CitigroupUniversity of Pennsylvania
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AS

Ashi Sinha

Screened

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

New York City, NY2y exp
IBMUniversity of Massachusetts Amherst

Entry-level full-stack engineer with internship experience at Amazon (Appstore IAP flow + uninstall recommendation workflow) and a health-tech startup (OneVector) where they built a DSUR reporting workflow end-to-end, including document generation, S3-backed versioning/metadata, and secure preview/download. Demonstrates strong production debugging and reliability mindset (instrumentation, deterministic retrieval, idempotent writes) and focuses on UX/performance in high-stakes user flows.

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