Babitha Macha
New Jersey,USA
Summary
Results-driven Machine Learning Engineer with extensive expertise in Python, deep learning, and AI systems across healthcare, agriculture, security, and energy sectors. Proven ability to design and implement end-to-end machine learning pipelines and optimize performance in cloud-based GPU environments. Published author of multiple peer-reviewed papers, demonstrating commitment to advancing machine learning innovation and efficiency.
Overview
8
8
years of professional experience
Work History
Proprietor
Aroha Daily Essentials
08.2022 - 12.2025
- Optimized stock levels by designing Python analysis workflows for sales forecasting.
- Identified trends through data cleaning and analysis using Pandas and NumPy.
- Streamlined reporting processes with automation scripts, reducing manual workload significantly.
- Enhanced business efficiency by applying analytical thinking and machine learning concepts.
- Demonstrated project ownership through problem definition, solution design, and execution.
Assistant Professor / Researcher
Sree Vidyanikethan Engineering College
08.2020 - 08.2022
- Enhanced student proficiency in Python, ML, and AI through hands-on instruction.
- Directed ML projects from data preprocessing to model optimization successfully.
- Developed CNN models for diverse applications, including computer vision and medical imaging.
- Supported students in ML projects using TensorFlow, Keras, and Scikit-learn frameworks.
- Analyzed model performance metrics to enhance accuracy and model generalization.
- Transformed academic models into industry-ready ML systems through applied research.
Project Trainee
Samsung Harman
03.2018 - 06.2018
- Enhanced problem-solving skills in software and system-level environments.
- Developed production-quality code by engaging in professional development workflows.
- Maintained project documentation for compliance and future reference.
- Collaborated effectively within teams to achieve project milestones.
Education
Master of Science - Computer Science
Sree Vidyanikethan Engineering College, JNTU Anantapur
India01.2020
Bachelor of Science - Computer Science and Engineering
K.S. School of Engineering & Management, VTU Bengaluru
India06-2017
Skills
- Programming & Data: Python, SQL, NumPy, Pandas, Data Preprocessing, Feature Engineering
- Machine Learning: Supervised & Unsupervised Learning, Model Evaluation, Cross-Validation, Hyperparameter Tuning
- Deep Learning & Computer Vision: CNNs, Transfer Learning, Faster R-CNN, VGG16, ResNet50, Image Classification, Object Detection
- Frameworks & Libraries: TensorFlow, Keras, Scikit-learn, OpenCV, Matplotlib
- Cloud & DevOps (Foundational): AWS (S3, EC2 – fundamentals), Cloud-based GPU training (Google Colab), Docker (basic), Git
- ML Metrics & Optimization: Accuracy, Precision, Recall, IoU, mAP, Binary Cross-Entropy, Adam Optimizer
- Domains: Healthcare AI, Medical Imaging, Agricultural AI, Intrusion Detection, Time-Series Forecasting
Languages
English
Full Professional
Telugu
Native or Bilingual
Timeline
Proprietor
Aroha Daily Essentials
08.2022 - 12.2025
Assistant Professor / Researcher
Sree Vidyanikethan Engineering College
08.2020 - 08.2022
Project Trainee
Samsung Harman
03.2018 - 06.2018
Master of Science - Computer Science
Sree Vidyanikethan Engineering College, JNTU Anantapur
Bachelor of Science - Computer Science and Engineering
K.S. School of Engineering & Management, VTU Bengaluru
AWARDS & LEADERSHIP
Young Scientist Award – SIDVI Foundation, Research Excellence Award – SIDVI Foundation, Member, ACM – Sree Vidyanikethan Engineering College, Chair, ACM Student Chapter (2019 – 2020) — Led technical events, workshops, and student engagement initiatives.
RESEARCH & PUBLICATIONS
- Automated CAD for Melanoma Skin Cancer using Machine Learning — International Journal of Science, Engineering, Arts & Management, 2025
- Detection of Disease in Tomato Plant using Deep Learning Techniques — 2020
- Machine Learning-Based Identification of COVID-19 from Lung Segmented CT Images using Radiomics Features — 2021
- An Automated Multi-Layer Intrusion Detection Mechanism for Wireless Sensor Networks — 2022
- Automated Maize Disease Detection System — 2022
- AI Meets Energy: Forecasting the Future of Country-Level Energy Consumption — 2025