Feb 2021 – Feb 2024 · 3 yrs · Greater London, England, United Kingdom

• 1. Currently working on C++, golang and python services for the continuous delivery team.
• 2. Working on the C++ backend of the FXGO post-trade team. Work often involves scripts in Python and Rust for data validation and metrics calculation tasks.

May 2020 – Feb 2021 · 9 mos · Munich, Bavaria, Germany

• Working on Vue.js. Sass, pug and Ruby on Rails and node js on the backend.
• Working on general improvements to the UI and the backend functionality including various performance improvements.
• Worked on adding outlook backsync for the calendar.

May 2019 – Sep 2019 · 4 mos · Munich, Bavaria, Germany

• Semantic Search: Optimized the expensive Semantic Search function using heap search, numpy vectorization and numba resulting in a 15x speed boost.
• Knowledge Graph: Python Service for querying and retrieving insurance specific results using a graph DB (Apache Jena). Developed using distant supervision and served as a Flask web application using Docker and neo4j as the database. Deployed as a docker container.

Nov 2018 – Mar 2019 · 4 mos · Munich, Bavaria, Germany

• Deep learning in mobility data.
• Working on Reinforcement Learning and Unsupervised learning.
• Developed a user modelling variational autoencoder.
• Python, Flask, Django, Docker, React

Nov 2017 – Apr 2020 · 2 yrs 5 mos · Munich, Bavaria, Germany

• Developed a custom architecture dilated unet for fine semantic segmentation of lung radiology images.
• Developed a cycle gan image generation platform.
• Was part of an in house research effort for 2D to 3D ultrasound registration and Tracking.
• Working on Imfusion smart annotation suite.
• Key Technologies: Keras, Tensorflow, OpenCV, Python, Pytorch, C++, Libtorch

May 2017 – Aug 2017 · 3 mos · Bengaluru, Karnataka, India

• Implemented an attention based LSTM network in order to ascertain the domain of job description. (The data in question was limited)
• Worked on ETL pipeline process and developed co-occurrence matrices for skills mentioned in a job description.
• Key Technologies: Pytorch, Python, Keras

May 2016 – Jul 2016 · 2 mos · Bengaluru, Karnataka, India

• Worked on the Dynamic UI framework, converting Android UI elements into
• javascript. The framework aimed at making the development of Android
• applications easier and easily configurable.
• Rectified multiple performance issues in the primary Juspay Payments library by
• leveraging Traceview and other inbuilt Android Studio performance profiling tools.

May 2015 – Jul 2015 · 2 mos · Greater Delhi Area

• Developed the primary companion Android application that interfaced with the in-house developed hybrid smartwatch and provided valuable fitness insights to the user.
• Key Technologies: Android, Java, Backend