Vetted Software Development Engineers in the Bay Area

Pre-screened and vetted in the Bay Area.

LL

Ling Lok Ngai

Screened

Mid-level Backend Software Engineer specializing in search infrastructure and AWS microservices

Fremont, CA6y exp
AmazonInternational Technological University

Search/backend engineer with hands-on experience improving Apache Solr-based search systems end-to-end (indexing strategy changes, ETL updates, and Java/Spring Boot Search API work). Demonstrated production rigor with QA partnership, A/B testing, and rollback-safe kill switches, plus measurable product impact (e.g., +1.5% add-to-cart) and operational troubleshooting including traffic/security mitigation.

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SA

Mid-Level Software Development Engineer specializing in AWS automation and release pipelines

San Francisco, CA4y exp
AmazonNortheastern University
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Nithish Kumar Reddy Rajapuram - Mid-level Software Engineer specializing in distributed systems and AI infrastructure in Palo Alto, CA

Mid-level Software Engineer specializing in distributed systems and AI infrastructure

Palo Alto, CA5y exp
AmazonOregon State University
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BY

Senior Software Engineer specializing in configuration migration and network security systems

Sunnyvale, CA5y exp
FortinetUSC
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Vivek Ponnala - Intern Software Engineer specializing in backend automation and web/mobile development in San Ramon, CA

Intern Software Engineer specializing in backend automation and web/mobile development

San Ramon, CA1y exp
Alo YogaSan José State University
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VS

Intern Machine Learning Engineer specializing in LLMs and NLP

San Jose, CA1y exp
AdobeUSC
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SG

Mid-level Full-Stack Java Developer specializing in Spring Boot, AWS, and React

San Francisco, CA6y exp
AmazonSaint Louis University
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VT

Mid-level Software Engineer specializing in AI/ML, GenAI agents, and cloud microservices

Redwood City, CA7y exp
C3 AINortheastern University
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MH

Mid-level Software Engineer specializing in event-driven backend and on-device ML for robotics

San Francisco Bay Area, CA5y exp
AmazonIllinois Institute of Technology
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JB

Mid-Level Backend Software Engineer specializing in distributed systems and observability

Mountain View, CA2y exp
YahooUC Irvine
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AG

Aditi Garg

Screened

Mid-level Software Engineer specializing in distributed systems and AI-powered platforms

Sunnyvale, CA3y exp
WalmartOhio State University

Software engineer with experience spanning an SEL internship and Walmart, combining backend/data pipeline work (Python, Kafka, relational DBs) with DevOps practices (Docker, Grafana, GitHub/Jenkins CI/CD, GitOps). Notably contributed to a REST-to-GraphQL migration aimed at reducing cloud utilization and implemented testing strategies to validate the transition.

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Prasannakumar B Vardi - Senior Software Engineer specializing in low-latency ad targeting and distributed backend systems in Santa Clara, CA

Senior Software Engineer specializing in low-latency ad targeting and distributed backend systems

Santa Clara, CA9y exp
CardlyticsStony Brook University

Backend/platform engineer who built a high-scale audience segmentation and real-time targeting system using Spark/Glue + S3/Hudi and low-latency API services backed by Redis/relational stores. Demonstrates strong production rigor: Spark performance tuning to eliminate OOM failures, API idempotency/caching to cut p95 latency ~40%, and careful dual-run/feature-flag migrations with reconciliation and rollback runbooks. Experienced implementing layered security with JWT/OAuth, RBAC/ABAC, and database row-level security to prevent privilege escalation.

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Abhinita Sanabada - Senior Software Engineer specializing in AI/ML systems and FinTech platforms in San Jose, CA

Senior Software Engineer specializing in AI/ML systems and FinTech platforms

San Jose, CA9y exp
Wells FargoSan Jose State University

Master’s student in Data Science at San Jose State University with prior software engineering experience at JPMorgan Chase and Zap Labs. She combines enterprise backend reliability work in financial systems with hands-on full-stack AI workflow projects, including a recruiting automation system built with React/Next.js, FastAPI/Node, Kafka, and WebSockets, with a strong emphasis on observability, human-in-the-loop controls, and maintainability.

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DV

Junior Software Engineer specializing in cloud applications and LLM-powered semantic search

San Jose, CA2y exp
OracleSan Jose State University
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SJ

Mid-level Software Engineer specializing in backend platforms and FinTech

Mountain View, CA5y exp
IntuitUniversity of North Carolina at Charlotte
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AP

Senior Software Engineer specializing in full-stack, data, and ML systems

Sunnyvale, CA7y exp
AmazonCalifornia State University, Sacramento
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DY

Mid-level Software Engineer specializing in backend microservices and real-time data pipelines

San Francisco, CA5y exp
AdobeSacred Heart University
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PB

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

Sunnyvale, CA5y exp
Goldman SachsCalifornia State University, Chico
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Nithin Reddy - Mid-Level Software Development Engineer specializing in distributed systems and event-driven architectures in Santa Clara, California

Nithin Reddy

Screened

Mid-Level Software Development Engineer specializing in distributed systems and event-driven architectures

Santa Clara, California4y exp
Goldman SachsCentral Michigan University

Built and maintained an internal JavaScript/React real-time event monitoring UI used by multiple Goldman Sachs teams (e.g., Private Wealth Management and Bulk Trading Systems). Focused on scaling performance under hundreds of events/sec—using profiling, memoization, batching, and debouncing—and paired it with strong internal documentation and disciplined incident diagnosis via synthetic load testing and logs/metrics.

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Nithyashree Raghunathan - Mid-level Full-Stack AI Engineer specializing in agentic systems in Santa Clara, CA

Mid-level Full-Stack AI Engineer specializing in agentic systems

Santa Clara, CA5y exp
MetaPenn State Great Valley

QA/data pipeline engineer with hands-on AI product building experience, spanning enterprise AWS migration testing for Belgium postal services and personal multi-agent systems in fintech and recruiting. Stands out for combining rigorous validation and production stability work with modern LLM orchestration, guardrails, and messy-document normalization workflows.

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