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AI Engineer with 1+ years in Data Science & Machine Learning.
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Assessing your cultural and operational fit
Motivated and detail-oriented technology professional with a strong foundation in Computer Science, Artificial Intelligence, Data Science, and Data Engineering. Experienced in data analysis, machine learning, data pipeline development, and AI-driven application development, with hands-on exposure to real-world AI/ML workflows and scalable data solutions. Skilled in Python, SQL, TensorFlow, PyTorch, Scikit-learn, FastAPI, and cloud platforms, with practical experience in exploratory data analysis (EDA), NLP systems, recommendation systems, and backend integration. Passionate about leveraging data, analytics, and AI technologies to build intelligent, scalable, and business-oriented solutions.
University of Wolverhampton
BSc (HONS) Computer Science (Software Engineering) · Computer Science (Software Engineering)
November 1, 2020 – November 1, 2024
Atlas Labs (PVT) Ltd.
Computer Vision Data Annotator
September 1, 2025 – Present
India
IXD Labs (PVT) Ltd.
Intern - AI / ML Engineer
September 1, 2024 – March 1, 2025
India
Serandib Asia Technologies (PVT) Ltd.
Intern - IT Support
January 1, 2024 – June 1, 2024
India
AI & Machine Learning Project, 2025 - Sentiment Analysis System using Python and Jupyter Notebook
January 1, 2025 – December 31, 2025
Designed and implemented data preprocessing pipelines for text data, including cleaning, tokenization, and feature extraction. Trained and evaluated multiple machine learning models to classify sentiment, leveraging supervised learning techniques. Analyzed model performance using precision, recall, and F1-score for optimal selection. Enabled extensibility for future deployment in real-time applications and business workflows.
Data Science & Machine Learning Project, 2024 - Molecular Solubility Prediction
January 1, 2024 – December 31, 2024
Developed predictive machine learning models using Python and scikit-learn. Built data pipelines for preprocessing and feature selection of molecular descriptor data. Applied regression techniques to estimate chemical compound solubility. Used train-test splits and evaluation metrics to validate model performance. Designed workflows for potential integration with research and scientific applications.
Data Engineering Professional
Databricks
January 1, 2026 – Present
Oracle Cloud Infrastructure AI Foundations
Oracle University
July 1, 2025 – Present
Machine Learning Specialization
DeepLearning.AI - Stanford
June 1, 2025 – Present
AI / ML Engineer - Stage 1 & Stage 2
SLIIT
September 1, 2024 – Present
Python for Data Science, AI & Development
IBM
August 1, 2023 – Present
Crash Course on Python
July 1, 2023 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate initiative and a proactive approach to learning and applying AI/ML concepts. The internship experience at IXD Labs (PVT) Ltd. shows exposure to a professional AI/ML development environment, including collaboration on backend API integration and model evaluation. The diverse set of certifications indicates a strong drive for continuous learning and skill development, which aligns well with a dynamic technical culture. The current role as a Computer Vision Data Annotator, while foundational, shows a willingness to contribute at various levels of the AI pipeline.
Soft Skills & Operational Fit
The candidate's resume highlights a 'motivated and detail-oriented' approach, which suggests a good fit for roles requiring meticulous data handling and model development. Experience in data quality assurance and validation indicates an understanding of operational best practices in ML workflows. The academic projects and internship experience show an ability to work on practical applications and integrate AI solutions.