Vetted Software Development Engineers in the Chicago Metro

Pre-screened and vetted in the Chicago Metro.

AG

Senior Software Engineer specializing in cloud security and identity management

Chicago, IL8y exp
AmazonUniversity of Illinois Urbana-Champaign
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Francis Tran - Mid-level Full-Stack Software Engineer specializing in streaming media and real-time systems in Chicago, IL

Mid-level Full-Stack Software Engineer specializing in streaming media and real-time systems

Chicago, IL3y exp
Bally's InteractiveUniversity of Texas at Austin
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AP

Mid-level Software Engineer specializing in LLMs, RAG, and GenAI backends

Chicago, IL2y exp
GraingerUC San Diego
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VB

Mid-level Software Engineer specializing in backend systems and LLM applications

Chicago, IL4y exp
Easley-Dunn ProductionsUniversity of Illinois Urbana-Champaign
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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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HV

Mid-Level Full-Stack Software Engineer specializing in web apps, DevOps, and enterprise support

Chicago, IL4y exp
FlexeraUniversity of Illinois Chicago
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SM

Mid-level Full-Stack Developer specializing in React and Spring Boot microservices

Chicago, IL4y exp
CVS HealthUniversity of Wisconsin–Milwaukee
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HN

Mid-level Robotics & Distributed Systems Software Engineer

Chicago, IL3y exp
Electronic Visualization LaboratoryUniversity of Illinois Chicago
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AB

Abhishek Basu

Screened

Junior Backend Software Engineer specializing in cloud and AI systems

Chicago, IL2y exp
Carpl.aiUniversity of Illinois Chicago

Built and shipped LLM-enabled decision systems focused on real production reliability rather than chatbot demos, including a multimodal radiology retrieval platform with 28% relevance gains and 35% lower latency. Also architected a 4-agent employee analytics workflow with structured outputs, traceable orchestration, and strong safeguards for messy real-world data.

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