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Research Assistant
Innovating Tomorrow, Today
I am an analytical and results-driven AI Engineer with expertise in machine learning. Passionate about bioinformatics, I offer data-driven insights to drive business success. Skilled in delivering innovative solutions through machine learning models, I am committed to making a positive impact. I collaborate effectively with diverse teams in bioinformatics and healthcare.
Creative & Professional
Developing a recommendation system employing large language models such as BERT and RoBERTa, along with multimodal models like CLIP, to match wines with customer preferences based on wine features and user likeness
Developing a deep learning framework for the recognition of handwritten letters(cursive) and names of the shops from a range of images using OpenCV and Tesseract (OCR)
Developing a simulation tool for predicting the performances of various sources of electricity for the Reliance Telecommunication network
Managing the life cycle of simulation and mobile application tools
Extraction of features from microscopy histopathology for abnormality interpretation using visual attention-based DL algorithms to spot on the degeneration of the breast and the lungs caused by cancer
Analysis of lungs (Functional MRI images) and the degradation caused by Covid-19 using image filtering and segmentation methods
Developing machine learning framework for breast cancer detection by using Attention-based CNN architectures by processing microscopic histopathology images
Managed data scripting, defect fixing in various testing stages, and supervised cut-over activities to address business problems
Collaborated with external stakeholders in Singapore, reviewed performance benchmarks, and established metrics for future tracking
Conducted data testing, cleaning, and standardization to transform client data into structured data, and developed customized reports, dashboards, and a report scheduling framework using Tableau for performance prediction
Created complex database objects using SQL, worked on the 'Reports' module using MS SQL, and presented business models to external stakeholders
Developed and implemented SAP solutions, including interface solutions between SAP and non-SAP applications, and provided post-installation support and training
Developed a recommendation system employing large language models such as BERT and RoBERTa, along with multimodal models like CLIP, to match wines with customer preferences based on wine features and user likeness.
Developed a deep learning framework for the recognition of handwritten letters(cursive) and names of the shops from a range of images using OpenCV and Tesseract (OCR).
Developed a simulation tool for predicting the performances of various sources of electricity for the Reliance Telecommunication network, through which an optimal combination of the sources could be derived for every hour.
University of Alberta, Canada
University of Wisconsin, United States
Anna University, India