Full Stack AI Developer · Chicago

Jay Patel

Multi-step AI agents with tool-calling, memory, and a deep backbone of cloud and data infrastructure. Currently building autonomous recruiting workflows at Peterson Technology Partners.

Architect

What I build

[01]

Agentic Orchestration

Multi-step AI agents with tool-calling, planning loops, and persistent memory — autonomously sourcing, screening, and shortlisting at production scale.

[02]

LLM Infrastructure

Prompt pipelines, retrieval over Elasticsearch + Postgres, and evaluation harnesses that keep agentic systems reliable across millions of decisions.

[03]

Cloud & Backend

RESTful APIs and microservices on Java, Spring Boot, and Python, serverless workflows on AWS Lambda, and Elasticsearch clusters tuned for real-time, faceted discovery.

Atmospheric long-exposure of light trails through brutalist architecture
Observed_Behavior

"Agents don't replace engineers — they extend the surface of what one engineer can reliably ship."

Trace

System deployment

Execution log · 2020 – Present
Active

Peterson Technology Partners

Full Stack AI Developer · Full-time

Apr 2025 — Present · 1 yr 3 mos
Chicago, Illinois, United States · On-site
  • →Architected agentic AI that runs recruiting end-to-end — sourcing, screening, and ranking candidates — cutting manual recruiter workload by 60%.
  • →Built ReAct-style agentic pipelines with tool use, structured output parsing, and full observability hooks for tracing and cost monitoring in production.
  • →Developed RAG pipelines over Elasticsearch / OpenSearch (1M+ records), improving retrieval accuracy for LLM-grounded responses at scale.
  • →Deployed scalable REST APIs on AWS (EC2, Lambda, CloudWatch) supporting high-concurrency LLM workloads at 99.9% uptime.

Advantage IT Inc

Software Engineer Intern · Full-time

Aug 2024 — Apr 2025 · 9 mos
Chicago, Illinois, United States · Remote
  • →Integrated OpenAI and Anthropic APIs into existing pipelines, laying the foundation for agentic AI in the team's software stack.
  • →Built tool-use and function-calling integrations letting LLMs interact with internal services and automate multi-step workflows.
  • →Contributed across the full stack — REST APIs, backend services, and internal dashboards — and drove code quality through reviews and Agile ceremonies.

Kintu Designs Pvt Ltd

Data Scientist Intern · Full-time

Dec 2021 — May 2022 · 6 mos
Surat, India
  • →Engineered an end-to-end Rasa NLP/NLU healthcare chatbot handling 500+ daily scheduling interactions at 95% success, cutting patient wait times 50%.
  • →Designed and optimized REST APIs for concurrent load, improving response time and reliability across interconnected services.
  • →Built CI/CD pipelines for 30+ microservices with Jenkins and Docker, boosting release reliability 25%.

Brainbean Technolabs Pvt Ltd

Software Engineer Intern · Full-time

Jun 2021 — Aug 2021 · 3 mos
Anand, Gujarat, India
  • →Built a real-time C# / ASP.NET dashboard visualizing IoT water-level sensor readings for live tank monitoring and alerting.
  • →Spanned the end-to-end solution — embedded device integration, data ingestion, and ASP.NET web UI — and maintained CI/CD pipelines on AWS.

Devang Patel Institute of Advance Technology and Research

Software Engineer Intern · Full-time

Mar 2020 — May 2020 · 3 mos
Anand, Gujarat, India
  • →Built and maintained Java (Spring) web applications across the full feature and lifecycle.
  • →Added load balancing, query optimization, and caching to cut latency and keep apps stable under concurrent load.
Build

Selected projects

Shipped artifacts

Multi-Agent Financial Research Assistant

Python · LangGraph · TogetherAI · Pinecone · FastAPI · AWS Lambda

Multi-agent LLM system that autonomously researches public companies via orchestrated agents for SEC filing retrieval, news aggregation, and sentiment analysis — deployed serverless on AWS Lambda with Pinecone vector storage and sub-3s end-to-end latency.

Course Enrollment & Event Portal

Spring Boot · SQL · Azure · MongoDB

Distributed REST API system supporting 50K+ students with event-driven architecture on Azure, achieving 99.95% availability and sub-100ms response times.

Stack

Dependency map

Core_Capabilities

Agentic & AI
Agentic AIMulti-Agent SystemsTool-callingReAct PatternLLM OrchestrationRAGLangGraphLangChainPrompt EngineeringFine-TuningMCP ServersHuggingFace TransformersScikit-learnLLM TracingToken OptimizationClaude APIGoogle GeminiAI Automation
Languages & Frameworks
PythonJavaC#JavaScriptTypeScriptSQLFastAPIFlaskSpring BootNode.jsASP.NET
Cloud & DevOps
AWS EC2AWS S3AWS LambdaCloudWatchGCP Vertex AIDockerKubernetesJenkinsCI/CDMicroservicesDistributed Architectures
Data & Observability
PostgreSQLMongoDBRedisElasticsearchOpenSearchPineconeChromaDBFAISSPandasNumPyData Modeling
Frontend
ReactDashboardsHTML5CSS

Academic.Core

DePaul University

2022 — 2024

Jarvis College of Computing and Digital Media

Master of Science, Computer Science

3.78 GPA

Charotar University of Science and Technology

2018 — 2022

CHARUSAT, India

Bachelor of Technology, Computer Science

9.33 CGPA

CodePath

Courses

Android Development, iOS Development, Advanced Technical Preparation

Verified

Validated certifications

Anthropic

Model Context Protocol: Advanced Topics

Verify
Anthropic

Claude Code in Action

Verify
Anthropic

Building with the Claude API

Verify
Coursera

Statistical Inference

Verify
Coursera

Blockchain Basics

Verify
Coursera

Smart Contracts

Verify
Connect

Initialize sequence

Building something autonomous?

If you're building something that needs to think, act, and learn — let's talk. I bring deep expertise in agentic AI systems, production LLM infrastructure, and the engineering discipline to ship at scale.

Emailjaykrinapatel@gmail.com
Githubjaypatel0112
LinkedInjay-patel-605a711a0
ResumeJay's Resume
LocationChicago, IL