Founder and CTO @ Joyn, a communication platform supercharged by AI. With a Master's degree in Computer Science from BU and a background in Chemistry and Computer Science, he bridges scientific principles with technological innovation. Previously, Rishab co-founded Mount, a pioneering rental platform. His research and engineering expertise, particularly in cloud computing, enables him to architect scalable and secure systems. At Joyn, Rishab leads the development of cutting-edge AI technologies that redefine communication. By integrating machine learning and natural language processing, Joyn enables effortless and intelligent connections. If this sounds interesting to you, come join us - we’re hiring!
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)
M.S. Computer Science - GPA - 3.95
B.A. Computer Science, Chemistry - CS GPA - 3.60
Founder and CTO
Founder and CTO
Sr. Project and Solutions Manager
Cloud, DevOps and Full Stack Flutter Engineer
Head of Technology
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)