Adnan Ashraf

Hello, I'm

Adnan Ashraf

AI / Machine Learning Engineer

I build production-grade Generative AI systems, RAG pipelines, and backend services that translate machine learning into measurable business value. I focus on scalable, reliable systems from API design to deployment.

View ProjectsDownload Resume

About Me

I am a Computer Science graduate from the University of Toledo (Dec 2025), specializing in building production-ready Generative AI systems and scalable backend services. As a Software Engineering Intern, I architected Python-based microservices and REST APIs, optimizing workflows for 50+ daily active users. I have a proven track record of delivering AI-augmented automation, reducing operational tasks by ~30%, and ensuring zero-downtime migrations for critical business operations.

Experience & Education

July 2024 – Present

Software Engineering Intern

Code Echo logo

Code Echo | Toledo, OH

  • Architected Python-based microservices and REST APIs, optimizing workflows for 50+ daily active users.
  • Reduced operational tasks by ~30% through AI-augmented automation.
  • Ensured zero-downtime migrations for critical business operations.
  • Designed, developed, and deployed responsive websites for local businesses using React, JavaScript, HTML, and CSS.
  • Contributed to the design, coding, testing, and debugging of software applications using Java, Python, and C, reducing bug reports by 15%.
Graduated: December 2025

Bachelor of Science (B.S.) Computer Science Engineering Technology

University of Toledo logo

University of Toledo | Toledo, OH

  • GPA: 3.3; College of Engineering Dean's List
  • Activities: Alpha Lambda Mu President, Alpha Lambda Mu Secretary, P.E.A.C.E. Project Mentor
  • Relevant Coursework: Object Oriented Programming, Algorithms, Computer Networks, Operating Systems, Senior Technology Capstone

Featured Projects

EchoBot

EchoBot

AI Voice Powered Virtual Assistant

Architected a real-time AI microservice and Top-K RAG pipeline using Google Gemini's 1M+ token context. Achieved <200ms latency handling 100+ concurrent sessions.

PythonGenerative AIRAGFastAPIChromaDB
GraphRAG Engine

GraphRAG Engine

Hybrid Knowledge Graph Retrieval

Designed a hybrid retrieval engine using Neo4j and ChromaDB to merge vector search with graph traversal. Implemented async ingestion with Gemini, optimizing entity extraction throughput.

PythonNeo4jLangChainRAGChromaDB
IntelliStock

IntelliStock

AI Powered Inventory Management System

Developed a Linear Regression forecasting engine (accuracy 65%→85%) and scalable data pipeline. Optimized database performance to reduce query overhead by ~98%.

PythonDjangoReactPostgreSQLScikit-learn

Generative Metaball Engine

Real-Time Fluid Visuals

Senior Design Capstone Award Winner. Achieved ~100x performance speedup using NumPy vectorization and multithreading for real-time 24/7 autonomous operation.

PythonNumPyRaspberry PiOpenCVComputer Vision

Technical Skills

Languages

PythonJavaJavaScriptCHTML/CSSSQL

Frameworks & Libraries

ReactNext.jsDjangoPandasScikit-learnTailwind CSS

Tools & Platforms

Git & GitHubJiraAWSVS CodePostgreSQL

Concepts

RESTful APIsMachine LearningNLPData AnalyticsAgile/ScrumOOP

Get In Touch

Let's Connect

I'm currently looking for new opportunities. Whether you have a question or just want to say hi, I'll try my best to get back to you!

Location

Perrysburg, Ohio