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Pramod Kumar M

@pramodkumarm

Message

Machine Learning engineer building impactful AI solutions.

India

Message

What I'm looking for

I seek roles where I can build and deploy ML/AI systems, work on end-to-end pipelines, collaborate in cross-functional teams, and grow into leadership while solving impactful problems.

I am a passionate Machine Learning Engineer focused on building, optimizing, and deploying AI models that solve real-world problems. I have hands-on experience with CNNs, supervised models, feature engineering, and end-to-end ML pipelines.

During internships I improved model performance through preprocessing, augmentation, hyperparameter tuning, and model evaluation — achieving measurable gains such as a 12% performance improvement from preprocessing and an 83% CIFAR-10 classifier accuracy.

I build full-stack ML applications using Python, FastAPI, LangChain, and React, and I enjoy leading collaborative teams to deliver scalable, production-ready solutions.

Experience

Work history, roles, and key accomplishments

Machine Learning Intern

Google AI-ML Virtual Internship

Jan 2025 - Feb 2025 (1 month)

Built and optimized CNN models for image classification and object detection using TensorFlow and Keras; developed preprocessing pipelines that improved performance by 12% and completed hands-on labs on model evaluation and error analysis.

TensorFlow Keras CNN Model Evaluation Python Git

AI/ML Intern

APSCHE-IIDT Collaboration with Blackbucks Engineers

Jul 2024 - Sep 2024 (2 months)

Developed a CNN classifier on CIFAR-10 achieving 83% accuracy; applied hyperparameter tuning, dropout, and batch normalization and collaborated in a 4-member team to streamline preprocessing and experimentation workflows.

CNN Hyperparameter Tuning Batch Normalization Python Experimentation Team Collaboration data preprocessing

Machine Learning Intern

Henotic Technologies Pvt. Ltd.

Jun 2023 - Sep 2023 (3 months)

Built supervised classification and regression models on datasets of 50k+ entries, performed EDA and feature engineering that reduced model error rates by 18%, and contributed to predictive analytics solutions for client datasets.

Supervised Learning Python Random Forest Model Evaluation Pandas scikit learn

Education

Degrees, certifications, and relevant coursework

Sagi Rama Krishnam Raju Engineering College

Bachelor of Technology, Artificial Intelligence & Machine Learning

2021 -

Grade: 8.4 CGPA

Activities and societies: Courses: Data Structures & Algorithms, Machine Learning, Deep Learning, Natural Language Processing

Pursuing a Bachelor of Technology in Artificial Intelligence & Machine Learning with coursework in data structures, machine learning, deep learning, and NLP; achieved CGPA 8.4.