🎓 MS in Computer Science @ University of Illinois Chicago
💻 B.Tech in Computer Science @ Ahmedabad University
📍 Working at the intersection of AI, Cloud, and Distributed Systems

I’m an AI systems engineer and researcher passionate about scalable architectures, intelligent automation, and data-driven problem solving.
My work connects deep research (vehicular networks, RAG systems, Bayesian learning) with practical system design — bringing cutting-edge ideas to life through clean, efficient code.

I enjoy architecting solutions that combine research precision, cloud resilience, and developer-first experience — whether it’s a real-time ITS, a multimodal chatbot, or a distributed knowledge pipeline.

• Designed and deployed a Pedestrian Detection and Alert Dissemination system using C-V2X communication.
• Integrated YOLOv4-tiny, Raspberry Pi, and RSU-OBU communication to achieve sub-10 ms latency.
• Published IEEE paper: Capacity Analysis of Vehicular Networks in a Multi-User Mixed Traffic Scenario (NCC 2025).

• Engineered an LLM-driven retrieval system using Hadoop, Spark, and AWS EMR.
• Built distributed embedding pipelines with Ollama 3.18b, achieving 2.5× higher query throughput and 30 % lower memory usage.
• Deployed Lambda-based AI agents that synthesize insights from 600 + MSR research papers.

• Built adaptive speaking and writing modules using Azure Speech SDK, GPT-4, and ElevenLabs TTS.
• Developed ETL pipelines to auto-generate IELTS question banks, increasing coverage by 120 %.
• Implemented an internal LangChain-based assistant indexing 200 + product documents, cutting search time by half.

• Proposed a novel randomized Bayesian skeleton learning algorithm reducing redundant CI tests.
• Achieved 34 % faster convergence with competitive accuracy on benchmark datasets.

🌩️ Large-scale distributed retrieval pipelines (Spark + LLMs)
🤖 Autonomous agent frameworks and multi-modal orchestration
🧠 Human-centered AI systems for learning and decision-making
⚡ Dataflow optimization for cloud-native microservices
🎨 Building AI products that balance precision with elegance

🏅 IEEE Author — Published paper in NCC 2025 on vehicular communication capacity
💡 Research Scholar @ MICxN Lab — Led 5 + workshops, reproduced 15 + papers, mentored junior researchers
🥇 Clash of Codes Champion — Ranked 1/20 and 2/20 in university coding competitions
👨‍🏫 Teaching Assistant — Helped teach AI, Embedded Systems, and Computer Networks to 130 + students

• Cloud Computing • Cybersecurity • Secured Web Application Development
• Artificial Intelligence • Machine Learning • Advanced Business Analytics
• Computer Networks • Number Theory & Cryptography • Distributed Systems

📧 preetpatelworks@gmail.com
🔗 LinkedIn
💻 GitHub

“Code it. Break it. Scale it. Then make it beautiful.”