I study biochemistry and biomedical engineering and am passionate about the applications of computer vision in medical diagnostics, harnessing the recent advances in technology. My passion led me to design image recognition algorithms and pattern detectors, using concepts of artificial intelligence and machine learning.
Sample Preparation, Calorimetry, Titration, Inorganic Synthesis, Freezing Point Depression, Molecular Dynamics (Chimera, AutoDock, VMD)
Spectroscopy (UV-Vis, IR, FAAS, MP-AES), Flow Cytometry, PCR, Gel Electrophoresis
Flutter, Vue.JS, Angular, Mongo, Git, AWS, Google Cloud, Firebase, OpenCV, Keras, CI/CD
Reading, Writing and Speaking Proficiency in English and Hindi, Speaking Proficiency in Oriya
Scientific Writing Proficiency, Black Belt (1st Dan), Electronic Keyboard (Grade 5, Trinity College of Music)
B.A. Computer Science, B.A. Chemistry, 2021 (Expected) - GPA - 3.39
Computer Science Peer Mentor
Course Grader, Intro to Programming Languages (CS320)
Project Manager and Lead Developer
Information Technology Specialist
Core Technology Developer
A mobile based application to quantify the microalbumin levels in urine, an early marker of forthcoming kidney damage.
Optimized production of Gold Nanoparticle based biosensors that can be used to quantify microRNA.
An evaluation of the kinetics and rate of aquation of trans-dichlorobis(ethylenediamine) cobalt(III) chloride
A personal healthcare assistant using voice recognition technology to enable better access to medical assistance
Provides the user contextual awareness, giving them audio feedback on the objects found in their surroundings.
Aids the visually impaired to find empty tables in restaurants and recognize known faces, thereby providing contextual awareness.
A low-cost fully automated IOT Pill Dispenser with a remotely accessible setup UI, all from a RasPi.
A Performance Analysis of Neural Networks to Identify Plugs and Connectors from an Image, created with Wolfram Language.
Computational Screening of compounds having specific binding to DNA-RNA hybrids, using Chimera, AutoDock and parts of Amber
A Novel Bioengineered Adenovirus to Reverse the Effects of Biological Aging by Replenishing Telomeres
Esterifying Free Fatty Acids and Phospholipids in Algal Oil to Increase the Yield of BioDiesel from Feedstock
Using Artificial Neural Networks and Machine Learning to convert lip movements to text using MATLAB
Using advanced image processing algorithms to identify a plant disease from its image.
(Designed in MATLAB)