Rohit Chillar

Building the next-gen technologies !!

I have a recently sparked interest in blockchain, AR/VR, and web3. My early interests were in finance, data science, programming, and competitive coding.

Being disciplined, hard-working & grateful is my way of living.

Projects

Dynamic NFTs

Chain Reality empowers users to seamlessly create and sell Dynamic NFTs. By expanding the scope of NFT applications we aim to aid the Decentral Revolution.HTML, React, JavaScript, Rust, TypeScript, Blockchain

Skills

Python

JavaScript

SQL

C++

MS Office

Experience

Goldman Sachs - Credit Risk - Portfolio Health and Loss Forecasting
June 2019 - November 2021
Joined the core team in June ‘19 when we were in the Pilot phase, witnessed the launch, and saw the Portfolio grow to over $20 B in exposure.
• Responsible for setting up the MIS and monitoring framework for Apple card - conceptualized, created, automated & presented 30+ reports to senior leadership providing insights on portfolio health, policy changes, and program rollouts.
• Drove an insight-based loss forecast for the portfolio, managed expectations, and liaisoned across policy, finance, and risk teams.
• Set up similar frameworks for the GM cards Portfolio which GS onboarded in 2022.
American Express - Summer Internship
May 2018 - July 2018
Invoice Analytics- A framework for invoice data processing, understanding, and application
• Developed Optical Character Recognition (OCR) capability for extracting structured text from scanned or image pdf invoices
• Built two solutions applying Google Cloud Vision API and Tesseract for OCR and developed structuring algorithm for each
• Cleaned the extracted text by correcting the OCR spelling errors using word-break algorithm on misspelled words
• Post-processed the text by using language models built from already extracted invoices and word similarity based cleaning
• Integrated the tool in the pipeline for identifying duplicate invoices resulting in an increase in the number of invoices processed to 95%
Aegis innovations Ltd. - Software Developer Intern
April 2017 - July 2017
Built NLP Engine for analyzing text received from listening engine of Digital Engagement Platform, Aegis LISA
• Implemented a LSTM model using python deep learning libraries Keras and Tensorflow to build a multi-layered sentiment engine
• Modeled context generating algorithm and developed a context based sentiment engine, capable of understanding sentiment of a
sentence and assigning the sentence into target categories with respect to each context
• Designed a multi threaded, concurrent request handling web service using bottle and served the engine on it
• Integrated the NLP engine with Aegis LISA and further optimised the sentiment engine reducing the complexity by one-hundredth