Open to opportunities

Karthik Reddy

@karthikreddy1

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Full-stack developer and machine learning engineer specializing in scalable ML-powered web applications.

India

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What I'm looking for

I am seeking an entry-level role building ML-enabled web applications with opportunities to work on model development, API design, cloud deployment, and continuous learning in a collaborative engineering team.

I am a computer science student and full-stack developer with hands-on experience building ML-driven web applications using React, Flask, Node.js, Python, and TensorFlow.

I have designed and deployed end-to-end systems — from data preprocessing and model training (Random Forest, CNN) to REST APIs, responsive frontends, and MongoDB-backed storage — achieving notable results like 85% accuracy for heart disease prediction and 90% for tire condition classification.

I focus on clean API design, cloud-native deployments with Docker and AWS, and CI/CD practices, and I am seeking opportunities where I can deliver production-ready ML solutions while continuing to grow technically.

Experience

Work history, roles, and key accomplishments

Current

Full Stack Developer

Current

Self Employed

Oct 2023 - Present (2 years 3 months)

Developed and deployed full-stack ML-enabled web applications including a Heart Disease Prediction system and a Tire Detection system, delivering responsive frontends and RESTful Flask backends with authentication and database integration.

Flask Python MongoDB REST APIs Docker CI CD JWT

Current

Machine Learning Engineer

Current

Self Employed

Oct 2023 - Present (2 years 3 months)

Built and trained ML models (Random Forest, CNN) achieving up to 90% accuracy for healthcare prediction and tire defect detection, and deployed models as Flask microservices with real-time processing and integrated data pipelines.

Python TensorFlow scikit learn NumPy Pandas CNN Flask MongoDB

Education

Degrees, certifications, and relevant coursework

Keshav Memorial Institute of Technology

Bachelor of Technology, Computer Science and Engineering

2022 - 2026

Grade: 8.45/10.0

Pursuing a Bachelor of Technology in Computer Science and Engineering with coursework and projects in full-stack development and machine learning, completed Aug 2022–May 2026.