Vetted Engineering Professionals in the Chicago Metro

Pre-screened and vetted in the Chicago Metro.

ZB

Senior QA Automation Engineer specializing in web, API, and CI/CD test automation

Chicago, Illinois8y exp
Freddie MacAcademy of Management under the President of the Kyrgyz Republic
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PN

Mid-Level Software Engineer specializing in Java/Spring microservices and cloud platforms

Chicago, IL6y exp
JPMorgan ChaseUniversity of Illinois Urbana-Champaign
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LA

Mid-level Full-Stack Engineer specializing in Java, React, and enterprise platforms

Chicago, USA5y exp
CitibankLamar University
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SB

Mid-level Full-Stack Software Engineer specializing in FinTech and cloud-native microservices

Chicago, IL6y exp
RobinhoodWichita State University
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AR

Senior Software Engineer specializing in full-stack platforms, data systems, and AI workflows

Chicago, IL9y exp
WayfairIllinois State University
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RB

Mid-level Front-End Software Engineer specializing in React and TypeScript

Chicago, Illinois6y exp
HighspotIllinois Institute of Technology
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HH

Junior Full-Stack Developer specializing in FinTech and GenAI

Chicago, IL2y exp
Goldman SachsUniversity of Illinois Chicago
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VK

Senior Full-Stack Java Developer specializing in microservices and cloud platforms

Chicago, IL5y exp
Northern TrustSaint Louis University
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SS

Mid-level Salesforce Developer specializing in enterprise CRM and integrations

Chicago, USA4y exp
HoneywellUniversity of Central Missouri
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TB

Mid-level Software Engineer specializing in FinTech and AI systems

Chicago, IL4y exp
PayPalIllinois Institute of Technology
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NK

Senior Full-Stack Java Developer specializing in Financial Services and Healthcare IT

Chicago, IL6y exp
Bank of AmericaPurdue University Northwest
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SS

Senior Full-Stack Engineer specializing in FinTech and healthcare web applications

Riverwoods, IL5y exp
DiscoverUniversity of Bridgeport
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SH

Shahbaz Hussain

Screened ReferencesModerate rec.

Senior Full-Stack Engineer specializing in cloud, AI, and scalable SaaS platforms

Chicago, IL13y exp
GrouponJawaharlal Nehru Technological University

Full-stack engineer with experience spanning a small healthcare startup and Groupon-scale personalization systems. Stands out for building HIPAA-compliant healthcare workflows end-to-end while also shipping recommendation and LLM-enabled platforms used by millions, with strong depth in React/Next.js, Node.js, Python, AWS, and scalable event-driven architecture.

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Jhansi D - Senior Full-Stack Java Developer specializing in cloud-native microservices in Chicago, Illinois

Jhansi D

Screened

Senior Full-Stack Java Developer specializing in cloud-native microservices

Chicago, Illinois4y exp
Bank of AmericaUniversity of Central Oklahoma

Full-stack engineer with experience building secure, cloud-native document/workflow platforms handling high-volume customer and medical data across microservices on Kubernetes. Demonstrated impact improving performance via event-driven AWS architectures (Lambda + DynamoDB Streams) and strengthening compliance/security for S3-stored documents using IAM and KMS. Has delivered end-to-end APIs and UIs using Java/Spring Boot with Angular/React, plus Docker and CI/CD.

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Rohit Vibhu Channananjundarya - Mid-level Software Engineer specializing in distributed systems and full-stack platforms in Chicago, IL

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

Chicago, IL6y exp
ExpediaUniversity of Illinois Chicago

Engineer who treats AI as a force multiplier rather than a replacement for judgment, with hands-on experience using tools like Claude Code, Cursor, Copilot, and Codex across planning, coding, testing, and review. Particularly notable for building a multi-agent PR review system that automated summarization, risk scanning, schema validation, and test suggestions, helping the team shift reviewer time toward architecture and business logic.

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Prashant Salunke - Mid-Level Software Development Engineer specializing in full-stack and cloud-native systems in Chicago, IL

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

Chicago, IL4y exp
JPMorgan ChaseIllinois Institute of Technology

Backend engineer who has shipped production LLM-powered features, including an AI-assisted developer tool on AWS (Spring Boot) and a blog platform capability using embeddings + Elasticsearch for semantic retrieval and LLM-generated summaries/recommendations. Demonstrates practical tradeoff management (quality/latency/cost), guardrails to reduce hallucinations, and evaluation-driven iteration using real user queries and observability via ELK.

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Saicharitha Yanamandala - Mid-Level Software Developer specializing in Java, Cloud, and Microservices in Chicago, IL

Mid-Level Software Developer specializing in Java, Cloud, and Microservices

Chicago, IL6y exp
Capital OneChicago State University

Backend/Python engineer who owned an end-to-end FastAPI + AWS internal natural-language document Q&A system (Textract extraction, embeddings/vector DB, LLM integration) with strong focus on reliability and latency. Hands-on with Kubernetes + GitOps (Argo CD, Helm, rolling updates/auto-rollback) and built/optimized Kafka streaming pipelines using Prometheus/Grafana. Also supported a zero-downtime on-prem to cloud migration with parallel run and gradual traffic cutover.

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BY

Benjamin Yee

Screened

Entry-level Software Engineer specializing in full-stack AI and FinTech applications

Chicago, IL1y exp
Fulcrum GTUniversity of Michigan

Entry-level backend engineer currently building AI infrastructure for a legal-tech product, including message APIs between frontend and LLMs and MCP-based integrations to enterprise legal systems. Stands out for owning backend components end-to-end in an ambiguous early-stage environment and for resolving a critical pre-demo bug under intense time pressure.

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VC

Junior Full-Stack Developer specializing in web applications and backend systems

Chicago, IL2y exp
ComcastUniversity of Illinois Chicago

Backend and full-stack engineer with experience spanning an academic collaboration platform and Comcast voice services. Stands out for measurable performance wins across the stack—30% faster page loads, 40% better throughput, and 25% lower server load—while working on reliability-sensitive production systems handling live voice traffic.

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