Machine Learning Engineer and researcher with experience in AI, machine learning, natural language processing, computer vision, and time-series forecasting. Has worked on prototype development, algorithm design, research…
Machine Learning Engineer and researcher with experience in AI, machine learning, natural language processing, computer vision, and time-series forecasting. Has worked on prototype development, algorithm design, research internships, and academic projects involving deep learning, clustering, image classification, and anomaly detection.
Project Technical Leader for the Oral Precancerous Lesions prototype building and testing.
Responsible for leading the team, constructing efficient project plans, and communicating with the Oraicle biosciences company for the development of their prototype.
Developing and implementing algorithms to tackle long tailed class imbalanced datasets and integrating disease text descriptions as vector representations to sparsely classified image embeddings for annotating the unlabeled dataset of oral-precancerous and cancerous lesions, and testing the prototype.
- Leading the Project and building Machine Learning Frameworks and Pipelines.
- Testing Model Pipelines and reporting back to Oraicle Biosciences company.
- Implementing and researching state of the art Computer vision models for various deep learning segmentation and classification tasks.
Designed an algorithm for Intelligent Subset selection, which assigned diverse budget functions to cluster representations of dataset, and selected budget points by iteratively applying thresholding over the data points.
Converted the code to a module/method, named DBSIST, Diverse budget Selector and Iterative Stochastic Thresholder.
Submitted the paper to the 12th ICLR Conference.
Worked in a team for publishing two NLP books namely, “Introduction to NLP” and “A practical Approach to Natural Language Processing”.
These books involved topics ranging from Stemming, POS Tagging to Twitter Sentiment Analysis using tuned NLTK models and new methods for optimizing.
For the book involving practical approach, various NLP models were coded and tested, and for the book giving introduction, history of NLP was formulated.
Participated in a Fundraising Event for the Suvidha Foundation NGO for providing better education facilities to the underprivileged children.
Designed and reviewed Engineering drawings of models on CATIA V5 for proper revision levels before assembly.
Developed a SARIMAX Model used for predicting base rejection of inserts, rate of depreciation of bases and the anomaly behaviour of bases, thus allowing the company to decide which bases were to be replaced or to be fixed.
Predicted when the furnace should be refurbished or replaced based on how much loss is incurred during its term, thus defining the proper time when the cost of updating the furnace will yield the highest return.
Observed various CNC machines such as STAMA and SAJO that were used for special tool production, TCC production, and tool processes such as heat treatment, blackening, and quality assurance.
Learned basic NLP and CNN nomenclature alongside implementing these algorithms for developing a digit classifier, object recognizer and News classifier on their Beat the Virus Project Datasets.
Built a Custom Image Classifier and a Data Classifier from data provided by the Company.
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