Travelling and Hiking
Madhu Ameneni
AI Engineer | MLOps
Ingolstadt,Bavaria
Summary
Resourceful AI Engineer certified in Machine Learning paired with 3 years of vast experience evaluating existing machine learning (ML) processes, conducting statistical analysis to resolve data set problems and enhancing accuracy of software's predictive automation capabilities. Extensive knowledge of ML frameworks, libraries and data structures. Collaborative team player possessing first-rate problem-solving and collaboration capabilities.
Overview
7
7
years of professional experience
4
4
Certifications
2
2
Languages
Work History
AI ENGINEER
CAPGEMINI ENGINEERING
Ingolstadt
1 2021 - Current
- Made significant contributions to research and customer projects centered around machine learning and computer vision topics on AWS platform.
- Conducted extensive research and successfully designed, implemented and integrated multiple automated object detection and segmentation training pipelines and inference containers on AWS, catering to both Image and LiDAR point cloud input data to products.
- Researched and implemented best practices to improve existing machine learning infrastructure.
- Furthermore, played a vital role in research team in constructing novel deep learning architecture designed for object detection with prior knowledge and also to build model independent Evaluation dashboard.
- Main Competencies: Python, Docker, TensorRT, Triton, TensorFlow, PyTorch, AWS, IaaS, MCAP, NVIDIA Orin.
AI INTERN
XXII GROUP COMPANY
Paris
2 2021 - 8 2021
- Collaborated on AI project focused on advancing vehicle detection and tracking through utilization of Machine Learning model
- Developed and deployed a re-identification feature from ground up within a micro-service architecture, utilizing FastReID Deep Learning model.
- Proficiently conducted research and applied batch inference and image pre-processing techniques to enhance XXII product.
APPLICATION SOFTWARE DEVELOPER
ITC INFOTECH
Bengaluru
09.2017 - 12.2020
- Contributed to development of Digital Channel Banking Product, tailoring it to meet unique requirements of UK and Germany markets
- Proficiently executed implementation of Prospect and Customer On-boarding, Send Money, and Account Opening features.
- Seamlessly integrated customized product with core banking application and ensured validation of customer details through third-party services.
Education
Master of Science - Electronics and Embedded Systems
École Supérieure D'ingénieurs En Génie Électrique (ESIGELEC)
Rouen, France 05.2020 - 2021.05
Bachelor of Science - Electronics and Embedded Systems
AMC Engineering College
Bengaluru, India 05.2013 - 2017.05
Skills
Machine Learning and Deep Learning
Cloud Computing
Data Mining and Analytics
Software Architect
Continuous Learning
Publications
"Artificial Neural Networks based waste recognition using Deep learning"
The objective of this project is to create a waste recognition system among recyclable, non-recyclable, and surgical waste., Neural networks were used to train the images and deployed on a raspberry pi.
https://arxiv.org/abs/2006.02631
Honors And Awards
- Best Performer (Software Developer) - Achieved the Highest Performer Band designation for the years 2018 and 2019.
- Artificial Neural Networks based waste recognition using Deep learning - Published and achieved the "Best Paper" award in the 5th National conference on VCCCN - 5.
Certification
Machine Learning by Stanford - Coursera
Interests
Trading
Swimming
Timeline
Master of Science - Electronics and Embedded Systems
École Supérieure D'ingénieurs En Génie Électrique (ESIGELEC)
05.2020 - 2021.05
APPLICATION SOFTWARE DEVELOPER
ITC INFOTECH
09.2017 - 12.2020
Bachelor of Science - Electronics and Embedded Systems
AMC Engineering College
05.2013 - 2017.05
AI ENGINEER
CAPGEMINI ENGINEERING
1 2021 - Current
AI INTERN
XXII GROUP COMPANY
2 2021 - 8 2021
Machine Learning by Stanford - Coursera
Python for Data Science - Fundamentals & Intermediate Course by DataQuest.io.
Computer Vision - Object Detection and Image Basics with OpenCV and Python Coursera
English language proficiency - IELTS
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