Divyansh Manocha
Electronic and Information (MEng) Engineering
Imperial College London
divyanshmanocha [AT] gmail [DOT] com
Hi! I currently work at JP Morgan Chase, under the Equity Derivatives Group. I have strong interests in statistical machine learning and all things code.
Projects
Contributed with coding new tensor method during master's thesis
Comparing CGAN, DCGAN and PCA using inception scores on LeNet
Bayesian Optimisations, MCMC and Variational Inference coded in numpy
Joint embeddings to tackle system-wide code duplications, suggestions and document generation
Comparing CGAN, DCGAN and PCA using inception scores on LeNet
SIFT descriptors quantised into codebook by k-means or random forest (RF) algorithms
Internal chatbot (charity project)
Econometrics theory applied to bond pricing and portfolio optimisation
Bayesian Optimisations, MCMC and Variational Inference coded in numpy
Joint embeddings to tackle system-wide code duplications, suggestions and document generation
Contributed with coding new tensor method during master's thesis
Programmed in C and JavaScript
Joint embeddings to tackle system-wide code duplications, suggestions and document generation
Conceptualising smart retail
Video Hub (charity project with Miriam Gonzalez)
Internal chatbot (charity project)
Publications
This section was added with high hopes. I have added my Master's thesis if interested.
ComBiNet: Compact Convolutional Bayesian Neural Network for Image Segmentation PDF URL
Martin Ferianc, Divyansh Manocha, Hongxiang Fan, Miguel Rodrigues
ICANN 2021
Improving Performance Estimation for Design Space Exploration for Convolutional Neural Network Accelerators (recently accepted) URL
Martin Ferianc, Hongxiang Fan, Divyansh Manocha, Hongyu Zhou, Shuanglong Liu, Xinyu Niu, Wayne Luk
MDPI Electronics (Vol 10)
Master's thesis: Tensor decomposition for data mining from brain electrical responses PDF
Divyansh Manocha (under the supervision of Professor Danilo Mandic)
Imperial College London
Talks and slides
Master's thesis at Imperial College London (2019): Tensor decomposition for data mining from brain electrical responses
Resume
Download Full Resume-
JP Morgan Sep 2019 - nowSoftware Engineer
Equity Derivatives. Now trading and risk management. -
JP Morgan Apr 2018 - Sep 2018Data Science placement
Worked with the machine learning and data science teams on Anomaly Detection projects. -
Imperial College London July 2017 - Mar 2018Undergraduate Teaching Assistance
First year mathematics and Second year digital electronics -
Qualcomm Sep 2017 - Apr 2017Summer Intern
Writing a library (C++) along with scripts (TCL, Python, Bash) to allow better statistical comparisons between rtl designs during different stages of the flow. -
Qualcomm Aug 2016 - Sep 2016Summer Interns
Implementing advanced VLSI power saving techniques to reduce power consumption, achieving a 2% power saving on the DSP -
Imperial College London 2015 - 2019Integrated Masters (MEng)
First Class Honours