A Computer Scientist.
I'm a computer science graduate from IIT Delhi(2016). I have interests in systems, mathematics, machine learning & data mining, theoretical computer science, OSS and a whole host of other things.
I am responsible for developing and maintaining trading infrastructure. My role include implementing new trading strategies optimized for low latency for major stock exchanges spread over the globe.
Worked with the vision team in the Core Intelligence lab of Software Center. I Implemented generic object detection algorithm named EdgeBoxes in opencv. Also did benchmarking of superpixel segmentation algorithm based on metrics like boundary recall and under-segmentation error.
My responsibilities include: - Creating new Instant Answer modules using Python and Perl. - testing and fixing bugs in the existing Instant Answers
Implemented SMS Manager service using SendSonar and Twilio APIs for automating SMSes and update of User’s details.
Implemented this NLP project using Python Sklearn supplemented with domain adaptation(Daume's method).
Stood 1st in 1 week long contest comprising of problems from algorithmic, optimization, machine learning and data mining domains.
Book selling web application with a feature rich DBMS at back-end and browser application at the front-end.
My submissions for NLP task of classifying labels from ads text data. And an ad recomendation system using colllaberative filterings.
An attempt to implement and test some of the state of the art branch prediction techniques used in modern x86 processors.
Predicted tags for Job Descriptions using NLP techniques, Boosted Trees(XGBoost) and feature engineering.
Financial Series-prediction using a network of stacked lstm cells with dense layers was used for training on a 15 GB dataset.
Implementation was done using CVX package for convex-optimization which was later compared with classification done using LibSVM for matlab.
Author Identification on Reuters_50_50 dataset using NLP algorithms and techniques like document fingerprinting. Implementation was done in Python using NLTK, Scikit-learn,Theano etc.
Implemented CpG Islands predictor modeled as Hidden Markov Models. The inference over linear chain HMM is learned using Max product Viterbi Algorithm in Python.
A hack to overcome limited network quota and bandwidth during IIT-D college days.
My Contributions to various Open Source Projects.
Various microservices implemented as part of FCC exersises.
A 5-stage unicore CPU pipeline simulator using Logisim.
An complete 3D game in openGL C++.
An experimentation with IITD academic cloud, Baadal's scheduling policies.
Cool Windows phone game developed in C# using visual studio.
Implemented using OCamlLex and OCamlYacc(for lexing and parsing) and Most General Unifier (MGU) algorithm.
Scripts for the configuration of Ceph in our Computer Lab.
I was a part of Physics & Astronomy Club, IITD which involved participating in club meetings and sharing modern trends and documentaries.
I was a cadet for National Cadet Corps during college and high school.
I am an active member of Toastmasters International club & joined East Delhi Toastmasters club recently.
A naval action-themed massively multiplayer online game, I am playing these days.