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I find anything that is challenging enough interesting. Among the top of my interests wold be artificial intelligence and computational physics

C.B.S.E

Software Engineer

RISHABH JAIN

CISCO

Implementing SDN Software Defined Networking solutions using agile practices for the Optical routing team, Mass Infrastructure Group at CISCO Deployed a northbound microservice for communication with high level network controllers using Kubernetes cluster and kafka messaging

Selected for a ThinkSwiss scholarship for a research project in Dr. Johan Chang group. Applied convolutional neural networks to detect fermi surface automatically from the ARPES Angle-resolved photoemission spectroscopy data which is useful in studying superconductivity

University of Zurich

Research Assistant

Developed state of the art neural network architectures for the purpose of virtual Try- on at MDSR Media and Data Science Research lab. Virtual try-on takes as input the image of a human and a cloth with the aim to produce an image of the person wearing the given cloth virtually Paper

Adobe

Research Intern

Selected for a thesis at NTU Singapore under NTU-India connect scholarship in Dr. Marco Battiato group. The project involved numerically studying the interaction of femtosecond lasers with the electrons and modeling their distribution at non-equilibrium using DG methods Paper

Nanyang Technological University

Worked as an analyst in the securities division of Goldman Sachs, Bengaluru office. Developed algorithms for the optimization of the order management system used to trade securities and routing orders to stock exchanges using java backend, vertx HTTP server and react js frontend.

Goldman Sachs Services Pvt. Ltd

Summer Analyst

Executive committee member of Team Anant, which is building an actual nano-satellite in collaboration with ISRO I was head of the Payload subsystem in the team. Our main focus was to extract the chlorophyll content in the ocean through computer vision techniques. 
 Achieved feature extraction by implementing algorithms like PCA, affine and endmember extraction on a hyperspectral 3D image 
 Classified the image into several classes by implementing various approaches such as k-nearest neighbors, abundance matrices and SVM

Bit's Pilani

Payload Team Lead - Team Anant

Worked at IUCAA, PUNE under Professor Kandaswamy Subramanium to simulate the structure of winds near stars and ultimately model it's distribution under arbitrary energy and momentum deposition. Majority of the simulations were done in MATLAB.

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