Preetham Deekonda

AI Engineer|

                    Python • Machine Learning • LLM Fine-tuning • FastAPI • Docker • ETL Pipelines
                

Data & AI Engineer with an M.S. in Big Data Analytics. Building practical, scalable AI systems — from NLP microservices to computer vision pipelines — for enterprise teams.

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def join_team(company):
    model = Candidate(me)
    return model.fit(company)

About Me

I am a Data & AI Engineer focused on moving past theoretical models into actual execution. During my Master’s in Big Data Analytics, I realized my core strength is connecting complex backend architecture with applied machine learning.

Whether I am writing Python microservices, programming job automation engines, or engineering computer vision pipelines, I build systems that solve immediate operational bottlenecks and scale reliably for enterprise teams.

4

Projects

M.S.

Big Data Analytics

Python

Core Stack

Technical Skills

Languages

Python SQL Java HTML/CSS JavaScript YAML JSON XML

Web & Systems

FastAPI Flask Spring Boot REST APIs Selenium Asyncio

Data & Models

Pandas NumPy Hugging Face Scikit-learn ETL Pipelines LLM Fine-tuning Predictive Modeling

Cloud & DevOps

Docker Kubernetes MLflow Git Linux Wireshark SQLite

Education

Master of Science in Big Data Analytics & Information Technology

University of Central Missouri — Warrensburg, MO

Graduated Dec 2025

Work Experience

Machine Learning & Application Lead (Graduate Capstone)

University of Central Missouri — Warrensburg, MO

June 2023 – Dec 2025

Reduced faculty administrative overhead by 40% by building a secure Java Spring Boot application that automated manual quiz grading, quiz generation, and question bank organization.
Developed a custom ETL pipeline using pdfplumber to extract text and tables from raw PDFs, enabling the system to ingest complex course materials without image noise.
Engineered a Flask microservice using TF-IDF vectorization to automatically map bulk-imported questions to textbook chapters, solving a primary categorization bottleneck.
Programmed an automated engine that reviews student quiz scores and generates personalized study reports pinpointing which chapters need review.
Secured the entire platform and all student data using custom Two-Factor Authentication (2FA) and Spring Security filters.

Key Projects

Autonomous Workflow Automation Engine

Dec 2025 – Present

Maintained 80% automation uptime on dynamic React frontends by building a high-concurrency Python engine. Bypassed anti-bot measures using NumPy physics vectors to simulate organic mouse movements and Log-Normal distributions to randomize click delays.

PythonNodriverNumPyAsyncio

View Live Demo

Content Recommendation & Clustering Engine

Oct 2023 – Dec 2023

Accelerated the publishing lifecycle by 30% by automating news categorization through a custom Python ETL pipeline. Visualized semantic clusters in Power BI and engineered a recommendation algorithm to map user reading history to personalized content.

PythonPandasPower BIScikit-learn

View Live Demo

Real-Time Intrusion Detection Pipeline

Feb 2022 – May 2022

Identified authorized personnel with real-time precision using an OpenCV facial recognition pipeline. Engineered an automated SMTP event-response system for instant evidence capture and built a Flask command center for remote monitoring control.

PythonOpenCVFlaskReal-Time Analytics

View Video Walkthrough

Get in Touch

Let's Collaborate

I'm always open to discussing new projects, creative ideas, or opportunities to be part of your vision.

Overland Park, KS

preethamdeekonda01@gmail.com

+1 (913) 265-6451