Madhu naik Bhukya
@madhunaikbhukya
Machine learning-focused software engineer skilled in full-stack development and scalable ML systems.
What I'm looking for
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
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.
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.
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.
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.
Telangana State Board Of Intermediate Education / Narayana Junior College
Intermediate, Higher Secondary Education
2019 - 2021
Grade: 97.4%
Completed intermediate (higher secondary) education at Narayana Junior College under the Telangana State Board with a percentage of 97.4%.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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