Liandar Joshua

Aspiring Data Scientist | AI/ML Engineer

Abu Dhabi, AE.

About

A highly motivated B.Tech Computer Science student specializing in Data Science with a strong academic record and practical experience in AI/ML, cloud services, and data infrastructure. Proven ability to develop and deploy innovative solutions, optimize processes, and drive data-driven insights, seeking to leverage technical expertise in a challenging Data Science or AI/ML Engineering role.

Work

Abu Dhabi Commercial Bank

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Data Science Intern

Abu Dhabi, United Arab Emirates, United Arab Emirates

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Summary

Led initiatives to enhance data management, transaction visualization, and recommendation systems, driving efficiency and personalization within a major financial institution.

Highlights

Optimized test case management efficiency by 15% through the design and deployment of a centralized application, streamlining organization and tracking of over 1,000 test cards and automating Jira workflows.

Developed a real-time transaction flow visualization tool using Dash and Plotly, reducing manual tracking by 20% for MT/MX SWIFT messages and supporting ADCB's ISO 20022 migration.

Engineered a session-aware recommendation engine on AWS SageMaker, increasing long-tail coverage by 35% and enhancing real-time personalization through collaborative filtering, in partnership with Amazon engineers.

Education

Vellore Institute of Technology

Vellore, Tamil Nadu, India
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B.Tech Computer Science and Engineering (Data Science Specialization) Grade: 9.36/10 GPA

Courses

Data Structures and Algorithms

Database Management Systems

Operating Systems

Computer Networks

Machine Learning

Artificial Intelligence

Object Oriented Programming

Statistics

Software Engineering

Awards

Academic Excellence (Distinction)

De Montfort University Dubai

Received distinction for outstanding academic performance, demonstrating exceptional scholastic achievement.

Publications

IntelliSegment

IEEE

Developed an object detection and segmentation system achieving low segmentation errors (MAE: 0.051 on PASCAL-S, 0.030 on ECSSD), outperforming benchmarks using Meta SAM2 for precise boundaries, YOLO-NAS for real-time performance, and CLIP for semantic consistency, demonstrating the effectiveness of strategic model fusion.

Certificates

AWS Certified Cloud Practitioner

Amazon Web Services

Skills

Programming Languages

Python, C++, Java, HTML, CSS, JavaScript, SQL, React, RStudio.

Data Science & Machine Learning

pandas, NumPy, Matplotlib, Seaborn, PySpark, Dash, scikit-learn, TensorFlow, PyTorch, OpenCV, Streamlit, Collaborative Filtering, Object Detection, Segmentation, Prompt Engineering, LangChain, GROQ (Mixtral).

Cloud Platforms & Services

AWS (EC2, S3, SageMaker, RDS, DynamoDB), Docker.

Databases & Data Engineering

SQLite, PostgreSQL, MongoDB, GridFS, Data pipelines, Spark, Tableau.

Tools & Methodologies

Postman, Jira, Object-oriented design, Agile sprints, REST APIs, System Design, DevOps Practices.

Interests

Professional Interests

Scalable Systems, AI/ML, Data Engineering, Cloud Platforms, System Design, DevOps Practices, Big Data Analytics.

Projects

Hisho

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Summary

Engineered an Agentic AI workflow engine using a modular Manager-Worker architecture, designed to improve task automation and integrate with productivity APIs.

BroCode

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Summary

Developed a collaborative coding platform featuring multi-user coding, AI-assisted debugging, and real-time document editing.

DIANA

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Summary

Created an AI-driven voice assistant to automate desktop workflows and system operations via natural language commands.