Research engineer

Charith Sanne

ad7f7n@r.postjobfree.com Charith Sanne

EXPERIENCE

Hardware Security and Artificial Intelligence Lab Virginia RESEARCH ENGiNEER January 2024 Present

• Conducted in depth researchonLargeLanguageModels(LLMs), such as BERT and LLaMA, improving their accuracy by 15%and resilience by enhancing robustness in variable computational environments.

• Gathered over 100 CVEs (Common Vulnerabilities and Exposures) and applied them to develop algorithms that facilitate RTL (Register Transfer Level) code generation from high level language inputs, increasing development speed by 20%.

• Spearheaded the development of a novel Language Model that automates RTL code creation from specified templates, reducing manual coding re quirements by 30% and streamlining the process of translating high level language descriptions into hardware specifications. George Mason University, IT Department Virginia

GRADUATE TEACHiNG ASSiTANT August 2023 May 2024

• Led weekly technical workshops for over 80 students on HTML and CSS, increasing competence in web development.

• Fostered a collaborative and inclusive environment, significantly enhancing problem solving skills among over 80 candidates, resulting in a 40% in crease in students’ project completion rates.

• Demonstrated deep expertise in Python, applying it to teach core programming concepts and encourage the practical application of theoretical knowl edge.

JV Technologies Bangalore, India

REACT DEVELOPER May 2022 August 2022

• Led the development of a responsive, user friendly e commerce website using React JS, achieving a 35% increase in user engagement and client satis faction through effective UI/UX design.

• Developed and launched a global recommendation platform, featuring user centric design that suggests top rated places, hotels, and restaurants, enhancing the platform’s international reach and user satisfaction with personalized recommendations.

• Implemented real time data fetching from various APIs in both projects, leveraging React’s state management and hooks for efficient updates and interactions, which improved system responsiveness by 40%. Engineered backend solutions incorporating MongoDB for data storage, Express.js for server logic, and utilized Nodemon for enhanced development efficiency, enabling rapid iterations and dependable performance across applications.

• Deployed advanced version control using Git and agile frameworks, maintaining 99%+ uptime for e commerce and global recommendation platforms; streamlined stakeholder feedback loops, resulting in highly refined, adaptable project deliverables. PROJECTS

Interpretable and Robust Misinformation Detection

October 2023 December 2023

• Developed models to classify fake news across six diverse datasets, with a focus on hyperparameter optimization to enhance performance. Imple mented unsupervised learning with K means clustering to discover latent patterns in data.

• Applied advanced techniques for model interpretability and resilience, significantly enhancing model robustness against adversarial attacks by 27%. Utilized a variety of algorithms including K Nearest Neighbors (KNN), Random Forest, and advanced BERT based transformers.

• Employed TensorFlow for model implementation and optimization, and Keras for constructing neural network architectures, which reduced model training times by 20% without sacrificing performance.

• Enhanced machine learning models for fake news detection by integrating SHAP for interpretability and utilizing text vectorization techniques with FastText and GloVe, which improvedmodelaccuracyby13%across several datasets through strategic hyperparameter tuning. Demonstrated the effec tiveness of BERT based models, achieving high performance metrics across multiple datasets. The combination of clustering with FastText and GloVe alongside SHAP values provided significant insights into data grouping and deepened understanding of the models’ decision making processes, un derscoring the models’ robustness and interpretability. SKILLS

Programming Skills Python, JavaScript, HTML, CSS, CPP, Java, C, ReactJS. AI Skills and Frameworks AI, LLMs, RNN, CNN, Reinforcement Learning, Pytorch, Tensorflow, Natural Language Processing, Computer Vision. Tools and Systems AWS, Azure, Git, Data Mining, Applied Cryptography, High Performance Computing, Cloud Computing CERTIFICATIONS

Microsoft Azure Fundamentals, Microsoft Azure Data Fundamentals, Microsoft Azure AI Fundamentals, Oracle Cloud In frastructure Foundations

EDUCATION

George Mason University

GRADUATE STUDENT • ACCELERATEDMASTER’S iN COMPUTER ENGiNEERiNG May 2024 CGPA: 3.95

Bennett University

BACHELOR OF TECHNOLOGY • COMPUTER SCiENCE June. 2023

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