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PHONE NUMBER AVAILABLE Boston, MA EMAIL AVAILABLE LinkedInEDUCATIONNortheastern University, Boston, MA May Street Address
Master of Science in Electrical and Computer Engineering GPA - 3.90 Hardware and Software for Machine Intelligence Concentration Relevant Courses: Introduction to Machine Learning and Pattern Recognition, Fundamentals of Computer Engineering, Natural Language Processing, Neural Networks and Deep Learning, Machine Learning Operations R.M.K. Engineering College, Chennai, India May 2023 Bachelor of Engineering in Electronics and Communication Engineering GPA  8.56/10 Relevant Courses: Problem solving and Python Programming, Fundamentals and Data Structures in C, Probability and Random Processes, Microprocessors and Microcontrollers, VLSI Design, Computer Architecture and Organization SKILLSProgramming Languages: C, C++, Python, SQL, ARM Assembly Language, and Embedded C Libraries: NumPy, Pandas, Scikit-Learn, OpenCV, NLTK, Matplotlib, Keras, Pytorch, TensorFlow, Statsmodels Software: MS Office, Visual Studio Code, MATLAB, MySQL, Arduino IDE PROJECTS/PUBLICATIONSCNN-based Image Classification with Tiny ImageNet Dataset, Boston, MA Feb 2024 Designed and implemented various CNN architectures to classify images from the Tiny ImageNet dataset Utilized image augmentation techniques and transfer learning to enhance classification accuracy. Developed Python script for data preprocessing, image labeling, organization, facilitating efficient model training Optimized CNN configurations, ranging from basic three-layer networks to intricate deep neural networks, achieving a significant boost in validation accuracy to 85% using a pre-trained ResNet50 model. Automated Medical Report Summarization and Terminology Extraction, Boston, MA Jan 2024 Orchestrated preprocessing, optimized hyperparameters, and evaluated performance to achieve a 0.78 ROUGE score with BioBERT, although exploration of Pegasus - PubMed was undertaken. Leveraged pre-trained model SciSpacy for NER, accurately extracting over 95% of medical terms from summaries Converted biomedical jargon into layman terms using Wikipedia for multi-word phrases, NLTK WordNet for single-word phrases with the ScispaCy model, enhancing accessibility and comprehension. Binary Classification(SVM vs MLP) and Clustering Analysis, Boston, MA Dec 2023 Conducted experiments by training and testing SVM and MLP classifiers on generated data, achieving 83% accuracy on both models for hyperparameter tuning and performance evaluation Applied Gaussian Mixture Model(GMM) based clustering to segment a color image using maximum likelihood parameter estimation and cross-validation for selecting the optimal model order Improved DASH Architecture for Quality Cloud Video Streaming in Automated Systems, Chennai, India Nov 2022 Utilized Volumetric video (or holographic video) for expressing natural content in VR/AR/MR, a common use case for 5G and beyond wireless communication (IJRTCC) Analyzes the challenges of and proposes solutions to wireless transmission systems of point cloud video. This explains a prototype of an MPEG DASH-based point cloud video streaming system as a preliminary study, along with more simulation results to verify its performance Intelligent Vehicle Damage Assessment and Cost Estimator for Insurance Companies, Chennai, India Sept 2022 Developed a project to build a VGG16 model that can detect the area and degree of damage on a car Implemented a rationale such that, the model can be used by insurance companies for faster processing of claims if users can upload pictures and the model can assess the damage EXTRA CURRICULARSenator of Academic Affairs, Graduate Student Government at NEU, Boston, MA Jan 2024 Contributed to improving graduate academic experience by collaborating with faculty, administrators, and student representatives on the Academic Affairs Committee