Anagha Jose
Sydney,Australia
Summary
Results-driven software engineer with experience at L&T Technology Services, specializing in AI/ML applications and cloud services. Proficient in Python and SQL, I enhanced operational efficiency by 25% through data visualisation and automated ETL processes. A collaborative team player, I excel in translating complex requirements into impactful technical solutions.
Overview
6
6
years of professional experience
1
1
Certification
Work History
Software Engineer Intern
InfoLogix Innovations
, Australia
05.2024 - Current
- Developed and deployed cloud-based machine learning models for healthcare analytics using Python, TensorFlow, and PyTorch on Azure ML and AWS SageMaker.
- Implemented automated data pipelines in Python with Azure Data Factory and AWS Glue to enhance data ingestion and transformation efficiency.
- Created real-time interactive dashboards using Power BI and Tableau, facilitating visualization of predictive insights for tumor characterization and surgical tool detection.
- Applied MLflow and Prometheus for machine learning model monitoring, reducing model drift by 40%.
- Designed a machine learning pipeline for medical image analysis with Python and TensorFlow, enhancing diagnostic accuracy for healthcare professionals.
- Transformed complex healthcare analytics into actionable insights through real-time data visualization dashboards in Tableau and Power BI, now utilized across multiple departments.
- Optimised deployment processes for cloud-based models on AWS SageMaker and Azure ML, significantly decreasing model training time while ensuring high accuracy standards.
Machine Learning Engineer
L&T Technology Services
12.2021 - 07.2023
- Designed and developed AI/ML applications, ETL pipelines, and microservices for big data platforms.
- Conducted statistical analysis on big data for automated anomaly detection and geospatial processing tools.
- Developed dashboards and infrastructure to support deployment and improve operational efficiency.
- Optimized existing applications to enhance performance and reduce operational costs.
- Translated client requirements into technical solutions and presented findings to stakeholders.
- Mentored team members on best practices while contributing to open-source projects.
- Collaborated with multidisciplinary teams to produce high-quality production code and integrate solutions.
- Utilised MLOps, Python, AWS, TensorFlow, Spark, Docker, Kubernetes, and SQL for project execution.
Data Analyst
SkyIsLimit Technology
06.2021 - 11.2021
- Collected, cleaned, and analysed complex datasets using SQL, Python, and R to extract actionable insights, achieving 95% data accuracy.
- Designed and maintained interactive dashboards with Tableau and Power BI, translating complex data into visual insights that improved operational efficiency by 25%.
- Implemented automated ETL processes and data pipelines in Python and SQL, reducing manual processing time by 30%.
- Collaborated with cross-functional teams to translate business requirements into analytical frameworks for strategic planning.
Backend Developer
ChipsnBytes Technology
05.2020 - 05.2021
- Developed RESTful APIs and microservices with Python and PHP frameworks, ensuring consistent uptime and seamless integration.
- Designed optimized SQL and NoSQL database schemas to enhance query performance through indexing and normalization.
- Implemented secure authentication systems using OAuth, JWT, and encryption protocols to protect sensitive user data.
- Constructed automated CI/CD pipelines with Git, Jenkins, and Docker, reducing deployment time while preserving code quality.
Education
Master of Artificial Intelligence -
Amrita Vishwa Vidyapeetham
01.2021
Bachelor of Information Technology -
Viswa Jyothi College of Engineering and Technology
India01.2019
Skills
- Python and Java development
- PHP scripting
- SQL database management
- R statistical analysis
- Machine learning and deep learning frameworks
- Data manipulation with Pandas
- Neural networks and transformers
- Cloud services: AWS and Azure
- Data processing with PySpark
- Containerization with Docker
- Cluster management with Kubernetes
- Version control with Git
Websites
Certification
- AWS Certified Machine Learning Specialty, 2024
- AWS Certified Cloud Practitioner, 2024
Publications
- Predicting IMDB Movie Ratings Using RoBERTa Embeddings and Neural Networks, Lecture Notes in Electrical Engineering, Springer, 2022
- COVID-19 Semantic Search Engine Using Sentence-Transformer Models, Communications in Computer and Information Science, Springer, 2022
Timeline
Software Engineer Intern
InfoLogix Innovations
05.2024 - Current
Machine Learning Engineer
L&T Technology Services
12.2021 - 07.2023
Data Analyst
SkyIsLimit Technology
06.2021 - 11.2021
Backend Developer
ChipsnBytes Technology
05.2020 - 05.2021
Master of Artificial Intelligence -
Amrita Vishwa Vidyapeetham
Bachelor of Information Technology -
Viswa Jyothi College of Engineering and Technology