Intro

Welcome! I'm Shashank Muthuraj, an AI/ML Engineer and a Master of Science in Software Engineering candidate at San Jose State University. Originating from a strong foundation in Computer Science with a Bachelor of Technology from PES University, Bangalore, I am passionate about deep learning, machine learning, and transforming complex ideas into innovative solutions. My technical proficiency spans Python, PyTorch, and various other ML technologies, focused particularly in deep learning and natural language processing. Dive into my portfolio to see the projects I've worked on and the technologies I've mastered.

For a closer look at my work and the impact of my projects, please check out my projects section.

Work Experience

May 2024 - Aug 2023

AI Intern, KanTime, Plano, TX

As an AI Intern at KanTime, I played a key role in the PDGM Score Analyzer project, focusing on predicting primary and secondary ICD-10 diagnosis codes using hierarchical multilabel classification. My responsibilities encompassed extracting and preprocessing detailed patient data from nested JSON files, integrating medication data and demographics to enhance feature engineering. I employed advanced machine learning models, including ClinicalBERT, to ensure robust classification, and rigorously validated these models to optimize accuracy, precision, recall, and F1 scores. The project culminated in preparing the model for deployment in a real-time environment, aiming to significantly enhance predictive capabilities and patient care.

Jul 2022 - Jul 2023

Associate Developer, SAP Labs, Bangalore, India

Spearheaded backend development initiatives for SAP's Digital Assistant Suite (now known as SAP Joule) and Conversational AI, resulting in a 20% increase in chatbot efficiency. Led the integration of technologies like Spring Boot, Java, Hana database, and Kafka, contributing to the successful launch of two major chatbot projects. Fostered collaboration with cross-functional teams, including UI/UX designers and front-end developers, successfully integrating new chatbot features that improved user experience.

Jan 2022 - Jun 2023

Data Science Intern, SAP Labs Bangalore, India

Assisted in the implementation of a deep anomaly detection system, TCNAE (Transformer-based Contextualized Neural Autoencoder), which was seamlessly integrated into the System Monitoring Product. Played a pivotal role in addressing both point and contextual anomalies in the SAP Focused RUN product, boosting system monitoring accuracy by 15%.

For a more in-depth look at my projects and technical contributions, check out the projects section.

Projects

Here are some of the key projects that showcase my expertise in AI and ML technologies:

AI-Driven Foot Traffic Monitoring: A New Era of Retail Insight

Developed an advanced AI system to analyze retail foot traffic using TensorFlow, OpenCV, YOLOv5, and Python. This solution was integrated with existing CCTV systems to enable real-time monitoring and data analysis, complete with a web interface built using HTML, CSS, and JavaScript for insightful analytics. The project emphasized accuracy, scalability, and cost-effectiveness, revolutionizing traditional retail foot traffic analysis methods.

Cyberbullying Detection System

Pioneered a sophisticated cyberbullying detection system utilizing advanced machine learning models like RoBERTa, SVM, Ridge Classification, and XGBoost. The system achieves high accuracy in identifying instances of cyberbullying across various categories, demonstrating its robustness and potential for social media integration to augment online safety.

Predictive Analytics of Economic Factors

Analyzed the effect of economic patterns and their path towards stability, especially during the pandemic, to enhance the decision-making abilities of business groups. Employed a combined model including Linear Regression, the Winter-Holtz method, SARIMA, and LSTM to provide valuable and accurate insights.

Contact

I'm always excited to connect with fellow enthusiasts, professionals, and anyone passionate about Machine Learning and technology. Whether you have a question, want to collaborate on a project, or just want to chat, feel free to reach out! You can contact me through the form below or connect with me on LinkedIn. Looking forward to hearing from you!