Machine Learning Engineer 👨‍🎓

🚀 Innovative Machine Learning Engineer | Passionate about Data Science, Medical AI and Financial AI | LLM | Computer vision 🌐

❗❗❗ Why Me? :-

Initiating "Feasibility Analysis" with "Business Intelligence" and completing top-tier "AI solutions", in one profile.

🌟 PROFESSIONAL SUMMARY:

With over 3 years of hands-on experience, I am an accomplished Machine Learning Engineer dedicated to pioneering breakthroughs in Data Science. My expertise extends across cutting-edge Statistical Machine Learning solutions, predictive Modelling, and spanning applications such as Computer Vision and Natural Language Processing. I am particularly focused on the dynamic realms of Medical AI and Financial AI, where innovation meets real-world impact.

🎓 Education

• 𝐌𝐒𝐜 𝐢𝐧 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 & 𝐀𝐈 (Reading), Faculty of Applied Sciences, University of Sri Jayewardenepura

• 𝐁𝐚𝐜𝐡𝐞𝐥𝐨𝐫 𝐨𝐟 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 𝐢𝐧 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭 𝐈𝐧𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 (𝐒𝐩𝐞𝐜𝐢𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧 𝐢𝐧 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞), Department of Information and Systems Sciences | 2019 - 2023, NSBM Green University

☏ Contact information 🚨

• Outlook email: waruna12345@outlook.com
• Direct message 💬: https://www.linkedin.com/in/waruna-srinath/

Work Experience 💻

🔴AI Research & Development at IFS (Jan 2024 - Present)

• LLM model fine-tuning.
• Automation of QA tasks using AI and Scripting.

🔴Machine Learning Engineer @ Easyfortech R&D (July 2022 - Dec 2023) -- Segmentation of customer details based on shopping transactions.

• Collected customer transaction data, performed data cleaning to handle missing values, and checked for outliers.
• Conducted feature selection and feature scaling as a crucial preprocessing step before implementing K�Means clustering.
• Utilized the obtained customer segmentation to derive meaningful insights and tailor marketing strategies, promotions, and other business decisions to each customer segment based on their transaction behaviors

🔴Machine Learning intern @ Emmanuel's Lanka (Pvt) LTD (Jan 2022 -June 2022) -- Contributed to the project focused on automating the camera light of Jetson Nano robots for surgical procedures in the operation theatre.

• Collaborated with multidisciplinary teams of mechanical engineers, electronics engineers, and computer vision engineers to develop a project initiated by a senior consultant.
• Project goal: Designed an automated camera light system to facilitate the automatic detection of surgical points, eliminating the need for manual adjustment of the light.

Final Year Research 👨🏻‍💻 and Thesis 🧾 - ML Model that can predict the infection probability level of gastritis

Data Cleaning and Feature Engineering:- Conducted data cleaning and feature engineering steps using the dataset from the "National Library of Medicine" to enhance the quality of data. Then utilized the Random Forest algorithm to develop a data-driven healthcare model for gastritis risk assessment, integrating it with Docker Container, GitHub, and Heroku Cloud Deployment.

🌐 PROFESSIONAL PROJECTS EXPERIENCE:

1. Creation of an ML Model for Evaluating Website Aesthetics
2. Automation of Camera Light for Jetson Nano Robots in Surgical Procedures
3. Segmentation of Customer Details Based on Shopping Transactions
4. Model for Predicting Gastritis Infection Probability
5. Neural Network Models for Molecular Property Prediction in Cheminformatics
6. Automated Content Summarization and Keyword Extraction for News Aggregation
7. Q & A LLM system for common diseases On going

💼 Machine Learning Engineer:

Embark on a data-driven journey with me: – a seasoned ML Engineer adept at algorithm fine-tuning and impactful data visualization. Thriving in collaborative environments, I excel in data collection, web scraping, and intricate analysis. Recognizing the significance of feature scaling, I bring strategic depth to model development.

My best priority is ensuring the creation of the most accurate, optimized, scalable, and secure ML models, ready for industry-level release. With a commitment to precision, collaboration, and delivering impactful results, join me in unlocking the full potential of data science. Let's set new standards for accuracy and excellence in the industry together. 🚀

🛠️ TECHNICAL SKILLS:

1. Languages & Web Frameworks: Python, Java, Flask, J2EE
2. ML Lib: Numpy, Pandas, Scipy, Scikit-Learn, TensorFlow, PyTorch, Keras, NLTK, Matplotlib, Seaborn
3. Statistics/ML: Statistic Analysis, Linear/Logistic Regression, Clustering, Graph Theory, DMPNN
4. Tools: Anaconda Navigator, Jupyter Notebook, VS Code, Spyder, Hadoop, MapReduce, Apache Spark
5. Database & Cloud: Microsoft SQL, MySQL, Oracle, PostgreSQL, AWS, Heroku

🥇 Machine Learning Certifications

• Machine Learning Foundations Calculus Provider: LinkedIn Learning

• TensorFlow: Neural Networks and Working with Tables Provider: LinkedIn Learning

• Statistics Foundations 4: Advanced Topics Provider: LinkedIn Learning


warunasrinath.github.io/me