Open to opportunities

Madhu naik Bhukya

@madhunaikbhukya

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Machine learning-focused software engineer skilled in full-stack development and scalable ML systems.

India

Message

What I'm looking for

I seek a role combining ML research and production engineering at a collaborative company that values impact, mentorship, and opportunities to ship scalable ML systems.

I am a machine learning-focused software engineer with hands-on experience building scalable ML pipelines, deep learning models, and production-ready web services. I have delivered research and industry-focused projects — from hybrid intrusion-detection models achieving 92% accuracy to production-style data structures and UML designs in Python for large teams.

I thrive at the intersection of ML research and software engineering, contributing end-to-end from feature engineering and model optimization to deployment and system design. I bring strong problem-solving, collaboration, and practical experience with frameworks like PyTorch, TensorFlow, Spark, React, and AWS, and I enjoy applying these skills to real-world products and security-focused applications.

Experience

Work history, roles, and key accomplishments

Current

Software Engineer Program

Current

Walmart

Sep 2025 - Present (9 months)

Completed an advanced software engineering simulation solving technical projects for Walmart teams, implemented a novel heap data structure in Python and designed UML and ER diagrams for new data processing and database requirements.

Python Data Structures System Design UML Database Design Algorithms Technical Problem Solving

Trainee

Amazon Machine Learning Summer School

Aug 2025 - Aug 2025 (0 months)

Participated in an integrated ML program with hands-on sessions covering algorithms, optimization, and real-world Amazon ML use cases while collaborating with Amazon ML scientists.

Machine Learning Algorithms Optimization Python Model Evaluation Practical ML Applications

Undergraduate Research Intern

ABV-IIITM Gwalior

May 2025 - Jul 2025 (2 months)

Developed a hybrid supervised and LOF-based model to detect known and unknown cyber-attacks, achieving 92% accuracy and reducing model training time by 30% through optimized preprocessing and feature engineering.

Machine Learning Anomaly Detection Python scikit learn data preprocessing Optimization

Education

Degrees, certifications, and relevant coursework

ABV-Indian Institute of Information Technology and Management Gwalior

Bachelor of Technology, Computer Science and Engineering

2022 -

Activities and societies: Joint - Secretary, Student Activity Council (March 2024 – May 2025); undergraduate research intern; relevant projects in ML and computer vision.

Pursuing a Bachelor of Technology in Computer Science and Engineering with coursework in data structures, algorithms, AI, DBMS, OS, and networks.