Hi,
I am Anagha
Tech professional with MSc in AI and Machine Learning from the University of Birmingham and experience at Mercedes-Benz where I automated processes and improved data systems efficiency by 60%. Skilled in Python, SQL, machine learning techniques, and web development with proven ability to deliver measurable results across technical projects. Seeking to leverage my versatile technical expertise and problem-solving abilities in roles that harness data and technology to drive business impact.
PROFESSIONAL EXPERIENCE
1. Backend Software Developer
Mercedes Benz Research and Development India
Aug 2022-July 2023
- Created automated scripts to convert 700,000+ XML files into SQL, reducing manual processing time by 60%, enabling further upload of production vehicle data into PostgreSQL.
- Resolved 30+ SonarQube-identified issues, improving code quality and reducing app load time by 30% through structured refactoring and best-practice enforcement through structured refactoring and best-practice enforcement.
- Evaluated 5+ external ML-trained APIs for diagnostic automation, successfully integrating 2 into the Xentry Platform, cutting manual technician tasks by 30%.
- Led 10+ production deployments and monitored Kubernetes pods to ensure 99.9% system uptime, reducing post-deployment errors by 25%.
- Developed and integrated RESTful APIs, optimising data transfer speed by 35% and enhancing real-time diagnostics in the XRD app.
2. Frontend Software Developer Intern
Mercedes Benz Research and Development India
Apr 2022-July 2022
- Developed user-interface for internal tools contributing to a 15% improvement in UI responsiveness.
EDUCATIONAL QUALIFICATIONS
MSc Artificial Intelligence and Machine Learning
University of Birmingham 2023-2024
- Dissertation – Fluorescence Microscopy: Generation of Synthetic Images Using Generative AI
- Deep Learning and Neural Networks
- Computer Vision
- Natural Language Processing
- Intelligent Data Analysis
B.Eng Computer Science and Engineering
Amrita Vishwa Vidyapeetham 2018-2022
- Software Engineering
- Computational Intelligence
- Database Management Systems
- Data Structures and Algorithms
- Machine Learning
SKILLS
- Python
- Java
- Spring Boot
- SQL
- Javascript
- Wordpress
- HTML & CSS
- Generative AI
- MLOps
- Tableau
- Computer Vision
- Neural Networks
- Deep Learning
- Generative AI
- FastAPI
- Tensorflow
- Keras
- LangChain
- LangGraph
- Agents and Tools
- Large Language Models
- JIRA
- Git
- Jenkins
- Docker
PUBLICATION
Deep Learning Approaches for Detection of Covid-19 Using Chest X-Ray Images
Comparison of VGG-16, ResNet-50, and CNN Model on the detection of Covid-19 from Chest X-Ray Images. The dataset was classified into 3 classes – Covid-19, Pneumonia, and Normal.
Publisher: IEEE
PROJECTS
click the below button for full list of projects
FIND ME ON SOCIAL NETWORKS
When I’m not on the clock, you’ll definitely catch me kicking it here.