Eppa Sai Vardhan Reddy

Founder & Chief Architect of Signal Zero

Architecting scalable AI solutions and leading engineering teams to build high-performance products that ship.

Germany
Available for AI/ML, Data & Backend roles
Past: T-SAT, Edunet Foundation
Eppa Sai Vardhan Reddy

As Founder and Chief Architect of Signal Zero, I engineer AI-driven products from the ground up. Drawing on strong foundational experience at T-SAT and Edunet Foundation, my mission is to scale cutting-edge data science into robust, high-performance solutions that drive measurable innovation and establish technical authority across the German tech market.

AI & ML Specialist

TensorFlow, Keras, Scikit-learn, NLP

Python TensorFlow React SQL Power BI Figma NLP Deep Learning

Published Research

  • IEEE ICOECA 2024
  • IRJMETS 2025

Awards & Projects

NASA Space Settlement
World 2nd Prize, 2018

Govt AI Projects
T-SAT, Govt. of Telangana

Feb 2025 – Present • Founder & Chief Architect

Signal Zero

  • Leading the architectural design and development of production-ready AI products from the ground up.
  • Overseeing engineering teams to deliver high-performance, scalable solutions for the German tech market.
Oct 2024 – Jan 2025 • Freelance AI/ML & Full-Stack Developer

Fiverr • Remote

Hyderabad, Telangana, India

  • Built an end-to-end AI-driven personal finance platform — Flask REST APIs on the backend, React + JS dashboard on the front end, and ML recommendation engines delivering personalized advice.
  • Designed the full data pipeline: user data ingestion → feature engineering → predictive model → JSON API response → real-time UI rendering.
  • Implemented interactive data visualizations in React (Chart.js) that surface spending trends and investment forecasts to non-technical users.
May 2024 – Sep 2024 • Internships

Data Science & Analytics

  • Edunet Foundation: Automated analysis workflows with Scikit-learn, analyzing large datasets.
  • Prodigy Infotech: Automated ETL pipelines, reducing processing time by 30%.
Aug 2023 – Apr 2024 • T-SAT (Govt. of Telangana)

AI Intern

  • Developed an AI-powered research assistant, improving operational efficiency by 20%.
  • Built and deployed deep learning projects, including a chatbot used by 1000+ users.
  • Optimized neural networks for image recognition, achieving 95% accuracy (Keras/TensorFlow).
01

Autism Detection

Impact
15-20% accuracy improvement
TensorFlow Multi-Algorithm Fusion ICOECA 2024

Multi-Algorithm Fusion

Improved diagnostic accuracy for autism detection by fusing behavioral and genetic data using advanced machine learning models. Published at IEEE ICOECA 2024.

View Certificate
02

CVD Prediction

Impact
94% diagnostic accuracy
Hybrid ML Web App IRJMETS 2025

Cardiovascular Disease Prediction

Achieved 94% accuracy in predicting cardiovascular disease using Hybrid ML models (LogReg, Random Forest, Gradient Boosting). Built a web app for early diagnosis.

03

Research AI

Impact
40% faster research speed
NLP Web Scraping Summarization

AI-Powered Assistant

Automated web scraping, PDF parsing, and NLP summarization to significantly improve research workflows and data extraction speed.

Live Demo
04

Stress Level Analysis

Insight
Real-time

sentiment signals

Sentiment NLP Streaming

Stress Level Analysis (Tweets)

Real-time NLP sentiment signals for early mental health detection through keyword patterns.

View Documentation

Let's build something impactful

Best for: ML prototypes, NLP automation, analytics dashboards, model evaluation, and shipping clean web interfaces for data products.