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Vetted Java Professionals

Pre-screened and vetted.

JavaPythonDockerJavaScriptCI/CDAWS
VG

Vipul Goyal

Mid-Level Full-Stack Software Developer specializing in AWS cloud and automation

USA5y exp
AmazonNYU
PythonJavaC++CPHPHTML+83
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WY

William Ye

Senior Software Engineer specializing in data lineage and cloud data platforms

Remote5y exp
Capital OneJohns Hopkins University
PythonJavaScalaC++CSQL+31
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JS

Julian Smith

Senior Data Engineer specializing in cloud data platforms and real-time analytics

Remote10y exp
Scout MotorsUniversity of Texas at Austin
A/B TestingAmazon EC2Amazon EMRAmazon S3Apache AirflowApache Hadoop+109
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BV

Balaji Vasili

Mid-Level Software Engineer specializing in backend systems and AI/NLP

Texas, USA4y exp
DeloitteCampbellsville University
API DevelopmentAWSAWS LambdaBERTC++Data Preprocessing+69
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NT

Nikhil Teja

Mid-Level Full-Stack Software Engineer specializing in cloud-native systems and FinTech

CA, USA5y exp
MetaCalifornia State University, Sacramento
JavaJava EEPythonCC++JavaScript+73
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XD

Xueyuan Deng

Junior AI Software Engineer specializing in LLM systems and retrieval (RAG)

Austin, Texas1y exp
CDK GlobalUniversity of Texas at Austin
CC#C++DjangoDockerFlask+56
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PD

Prahlad Das

Senior Software Engineer specializing in AWS distributed systems and developer tools

Santa Clara, California9y exp
Amazon Web ServicesUniversity of Massachusetts
AgileAmazon EC2Amazon S3AWSC++Distributed Systems+71
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VN

Venkatesh Nagendla

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

CA, USA6y exp
StripeSoutheast Missouri State University
AgileAmazon CloudWatchAmazon EC2Amazon EKSAmazon RDSAmazon S3+148
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SS

Shuqi Shen

Intern Full-Stack Software Engineer specializing in distributed systems and cloud services

1y exp
AmazonDuke University
A/B TestingAgileAmazon API GatewayAmazon BedrockAmazon DynamoDBAmazon S3+66
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VP

Vrushank Prasanna

Mid-level AI/ML Engineer specializing in LLMs, ranking systems, and MLOps

Mountain View, CA5y exp
MetaUniversity of North Carolina at Charlotte
PythonJavaCC++MATLABBash+154
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LK

Liliana King

Mid-level Strategy Consultant specializing in AI, education, and growth strategy

New York, NY4y exp
EY-ParthenonBrown University
Market researchGo-to-market strategyStrategic planningBusiness developmentCRMForecasting+52
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AR

Arun Ramagopal

Executive Engineering Leader specializing in Platform, Cloud, and AI tooling

Los Angeles, CA25y exp
SimplePracticeNorthwestern University
AnalyticsAPI developmentApache KafkaApache SparkAWSComputer Vision+45
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YP

Yang Pulse

Senior Full-Stack & AI/ML Engineer specializing in FinTech and Healthcare IT

Remote12y exp
SnykUC Berkeley
Amazon CloudFrontAmazon DynamoDBAmazon EC2Amazon RDSAmazon S3Amazon SageMaker+96
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VB

Vedansh Bhartia

Mid-level Software Engineer specializing in distributed systems and payments

New York, NY4y exp
PhonePeNYU
CC++JavaPythonGoSQL+57
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AA

Abdalla Ali

Principal Data Scientist / AI Engineer specializing in healthcare-native AI platforms

New York, NY12y exp
Komodo HealthLewis University
A/B TestingAgileAmazon CloudWatchAmazon DynamoDBAmazon EC2Amazon EKS+207
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VS

Vishal Sanga;l

Director-level Engineering Leader specializing in SaaS platforms, cloud architecture, and SRE

Bay Area, CA28y exp
Electronic Arts
AgileAmazon CloudWatchAmazon EC2Amazon ECSAmazon RDSAmazon S3+172
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OA

Omar Abou El-Naja

Junior Software Development Engineer specializing in AWS automation and data pipelines

Toronto, ON1y exp
Amazon
AWSCC++Data PipelinesData ValidationGit+23
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RK

Raymond King

Senior FX Technical Director / Pipeline TD specializing in Houdini, Unreal, and real-time VFX

19y exp
The Third Floor
BlenderAdobe After EffectsUnityUnreal EngineTensorFlowPyTorch+54
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RT

Rhutwij Tulankar

Screened ReferencesStrong rec.

Engineering Manager and ML/Data Architect specializing in scalable data platforms and personalization

San Francisco, CA11y exp
RecruiticsRochester Institute of Technology

“Hands-on engineering manager at a marketing company leading a highly senior, distributed team (10 direct reports) while personally coding ~60–70% and owning end-to-end architecture across three interconnected products. Built agentic CRM automation and a reinforcement-learning-driven distribution layer for channel spend/bidding, with a strong focus on scalable design and observability (Prometheus/APM/logging) enabling frequent releases and few production incidents.”

Amazon DynamoDBAmazon ECSAmazon KinesisAmazon RedshiftAmazon S3Amazon SQS+263
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MV

Michael Vance

Screened ReferencesStrong rec.

Senior AI & Data Engineering Manager specializing in Appian and cloud data platforms

New York, NY10y exp
DeloitteUniversity of Virginia

“Deloitte consultant who led cross-functional teams delivering a Snowflake/AWS data ingestion, warehousing, and analytics platform, with a strong track record of executive alignment and risk mitigation. Built reusable business-development accelerators (including an end-to-end Appian app and a Java integration-config tool) credited with helping secure $75M+ in contracts, and has high-confidentiality experience consulting for DoD and FDA.”

CoachingData AnalyticsData EngineeringDatabase DesignHTMLJava+95
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VB

Vigynesh Bhatt

Screened ReferencesStrong rec.

Mid-level Software Engineer specializing in backend, cloud, and ML systems

Salt Lake City, UT4y exp
Goldman SachsBrigham Young University

“Software engineer with experience across Goldman Sachs, BYU Broadcasting, Juniper Networks, and an edtech startup (Doubtnut), spanning data migrations, AWS-based media backends, and microservices observability. Built a Redis/ElastiCache caching layer in front of DynamoDB/S3 to improve media delivery latency and cost, and created an SEO indexing automation tool using the Google Search Console API that saved ~15–30 person-hours per day.”

A/B TestingAmazon CloudWatchAmazon DynamoDBAmazon EC2AWSAWS Lambda+165
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AE

Ashish Ernest Jeldi

Screened ReferencesStrong rec.

Senior Data Scientist specializing in LLMs, agentic AI, and MLOps

Boston, MA6y exp
Dell TechnologiesNortheastern University

“Built and shipped a production agentic LLM tool that helps internal teams update technical product whitepapers using plain-language edit requests, with strong guardrails (citations, verification, refusal/clarify flows) to reduce hallucinations and maintain compliance. Experienced taking LLM workflows from rapid LangChain prototypes to more predictable, debuggable LangGraph agent graphs, and orchestrating end-to-end ingestion/embedding/indexing/eval/deploy pipelines with Kubeflow.”

PythonJavaSQLCC++JavaScript+152
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KR

Kaustubh Rai

Screened ReferencesStrong rec.

Mid-level Software Engineer specializing in distributed systems and cloud-native microservices

PA, USA2y exp
eParts Services LLCCarnegie Mellon University

“Software engineer with ~2 years at UnitedHealth Group plus CMU coursework/TA experience, spanning backend modernization and cloud-native operations. Worked on migrating a customized open-source EDI system from Python 2 to Python 3 while improving SQLite database traceability via JSON exports, and has hands-on Kubernetes microservices deployment on Azure using Helm, HPA, and Jenkins-based Git-triggered CI/CD. Also built a large-scale real-time ride-hailing simulation using Kafka + Samza with explicit fault-tolerance strategies.”

.NETC#PythonJavaGoSpring Boot+77
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LC

Lawrence Cheng

Screened

Mid-Level Backend Software Engineer specializing in FinTech platforms

San Francisco Bay Area, CA6y exp
MyVestUC Berkeley

“Backend/platform-focused engineer who builds scalable onboarding and data ingestion pipelines for complex client data formats, emphasizing staged validation, idempotent job boundaries, and safe rollouts behind feature flags. Strong in production diagnostics (Kibana/Logstash, SQL, debugger traces) with a concrete example of finding a regression causing incorrect Tax Loss Harvesting alert counts within a day, and experienced enabling both engineers and customer-facing teams through docs, runbooks, and technical walkthroughs.”

JavaSQLPythonGoHibernateApache Kafka+67
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