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AI Engineer · Full-Stack · ML Researcher
UMESHYADAV
AWS CertifiedML Researcher 4× PublishedGPA 4.0 RAG SystemsDiffusion Models Full-StackMedical AI

Building production AI systems end-to-end — from full-stack platform architecture to multi-modal ML pipelines. MS CS @ University of Toledo, specializing in diffusion models, RAG architectures, and adversarial ML. Funded research assistantship. 4 published papers.

4.0
GPA
both degrees
4
published
papers
6
enterprise
clients
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AI Engineer · Full-Stack · ML Researcher
UMESHYADAV

Building production AI systems end-to-end — multimodal ML pipelines to full-stack platforms. MS CS @ University of Toledo. GPA 4.0. 4 published papers. AWS Certified.

AWS CertifiedML Researcher 4× PublishedGPA 4.0 RAG SystemsMedical AI
4.0
GPA
both degrees
4
published
papers
6
enterprise
clients
Experience
Graduate Research Assistant · Software Engineer
University of Toledo · Aug 2024 – Present
Sole engineer on a production AI medical simulation platform deployed to 6 enterprise & federal clients. Multi-modal ML, RAG, medical LLMs, full-stack React/Node/AWS architecture.
PyTorchMedical LLMsRAGReactAWS
Software Engineer Intern
My Evaluation Pal · May – Aug 2024
Built a real-time ML pipeline (FastAPI + Kafka), 12% latency reduction, 30% data transfer efficiency gain, ETL of 10k+ records to PostgreSQL.
FastAPIKafkaPostgreSQLWebSocket
Research · 4 Papers
01
SoK: Security in the Model Context Protocol Ecosystem
arXiv →
02
Adversarial ML: Payload Injection & FGSM on ResNet-50 (SVCC 2025)
arXiv →
03
Chunking, Retrieval, Re-ranking: RAG Architecture Evaluation
arXiv →
04
SoK: Agentic RAG — Taxonomy, Architectures & Research Directions
arXiv →
Tech Stack
Python
PyTorch / ML
RAG Systems
React / Node
AWS
FastAPI
Docker / K8s
Education
MS Computer Science & Engineering
University of Toledo · 2024–2026 · GPA 4.0
AI Specialization · Fully-funded Research Assistantship · Thesis on multimodal AI assessment platforms
BS Computer Science
Youngstown State University · 2022–2024 · GPA 4.0
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