Raghav Kapoor

AI Researcher

San Jose, California, United States6 yrs 8 mos experience

Most Likely To Switch

Key Highlights

Published research in top conferences like CVPR and ACL.
Expertise in Large Language Models and Multimodal Machine Learning.
Experience in building high-performance trading systems.

Stackforce AI infers this person is a Machine Learning Engineer with a focus on NLP and trading systems.

Contact

raghavkapoor16@hotmail.com LinkedIn

Skills

Core Skills

Software DesignJava

Other Skills

AlgorithmsAndroid DevelopmentC++CommunicationCompetitive programmingComputer NetworkingComputer ScienceData StructuresDatabase Management System (DBMS)Deep LearningFlaskGame DevelopmentGitHTMLJavaScript

About

👋 Hi there! I am Raghav Kapoor. I’m originally from New Delhi, India and currently based out of San Jose, California and work at Adobe. 🎓 I graduated from Carnegie Mellon University - Language Technologies Institute, specializing in the field of ML/NLP with a special focus on integrating it into large scaled systems. Previously, I completed my Bachelor of Science (Hons.) in Computer Engineering from the Netaji Subhas Institute of Technology, Delhi University in 2019. ⚡My research interests lie in Large Language Models, Multimodal Machine Learning, Embodied AI, and Reinforcement learning. I am passionate about research involving the theoretical and applied study of Deep Learning and Natural Language Processing. My research works have been published in top conferences such as CVPR, AAAI, ECCV, ACL, ICLR.

Experience

6 yrs 8 mos

Total Experience

1 yr 5 mos

Average Tenure

2 yrs 4 mos

Current Experience

Adobe

2 roles

Machine Learning Engineer

Feb 2024 – Present · 2 yrs 4 mos · San Francisco Bay Area

Brand Intelligence Team

Software Engineer Intern

May 2023 – Aug 2023 · 3 mos · San Francisco Bay Area

Writer

Research Collaborator

Aug 2023 – Dec 2023 · 4 mos · Pittsburgh, Pennsylvania, United States

Building Multimodal Generalist Agent for Desktop Automation. This is a research collaboration with CMU as a part of capstone project and Writer helped fund the research.

Carnegie mellon university

2 roles

Graduate Teaching Assistant

Jan 2023 – Dec 2023 · 11 mos · Pittsburgh, Pennsylvania, United States

Graduate Teaching Assistant for Search Engines (11-x42) taught by Prof. Jamie Callan. (Spring & Fall '23)
Graduate Teaching assistant for Intermediate Deep Learning (10-619) taught by Dr. Ruslan Salakhutdinov. (Fall '23)

Graduate Research Assistant

Aug 2022 – Nov 2023 · 1 yr 3 mos · Pittsburgh, Pennsylvania, United States

Working with Dr. Graham Neubig and Dr. Yonatan Bisk on a collaborated project with PRIOR team at AI2 (Allen Institute of Artificial Intelligence) on Embodied Exploration and VQA.
Working with Dr. Ruslan Salakhutdinov for building foundational Multimodal models and agents for desktop Automation

Goldman sachs

2 roles

Software Associate

Promoted

Jan 2022 – Jul 2022 · 6 mos

Equities Trading Platforms - GSET
Built and managed nanosecond latency trading systems for large volume stocks and options flow worth billion dollars for 1000+ institutional clients.
Developed a tool using Java to effectively distribute short sell locates to clients, increasing daily trade volume by 35%.
Drove initiatives with external vendors in US exchange connectivity space to enhance trade liquidity with darkpools.

C++JavaPythonCommunicationSoftware Design

Software Analyst

Jun 2019 – Dec 2021 · 2 yrs 6 mos

Equities Trading Platforms - GSET
Managed load capacity planning and effectively redesigned the order management system (C++) to cut latency by 40%.
Designed an ML/NLU based chatbot for traders to answer queries from traders, reducing human dependence by 60%.
Qualified Chartered Financial Analyst Level 1 exam (Top 10%) to hone functional competencies and upskill juniors.

Netaji subhas institute of technology

Student Researcher

Feb 2019 – May 2019 · 3 mos · Delhi, India

Advisors: Dr. MPS Bhatia, Dr. Preeti Kaur
Research Area : Natural Language Processing, Embedding Optimization
Optimized MaltParser to create Hindi contextualized embeddings over a corpus of IIT-Bombay Hindi movie reviews.
Compared contextualized embeddings of different dimensions with vanilla counterparts like, Twitter Word2Vec, FastText Hindi, GloVe on Hindi sentiment analysis task (Observed nearly 15% improvement in accuracy).

Midas: multimodal digital media analysis lab

Research Intern

Aug 2018 – Jun 2019 · 10 mos · New Delhi, Delhi, India

Advisors: Dr Rajiv Ratn Shah, Dr. Ponnurangam Kumaraguru, Dr. Roger Zimmermann
Research Area : Natural Language Processing, Social-Media Analysis, AI for Social Good
Invented an LSTM cum transfer learning model for Hinglish offensive text classification over HEOT dataset.
Researched and trained own word embeddings for code-mixed languages. (Achieved state of the art accuracy: 87%)
Led the dataset curation, annotation and cleaning initiative in the lab for 5000+ hinglish tweets for model pipeline.
Worked on a couple of publications and presented the paper at AAAI-19 conference in Hawaii.

Goldman sachs

Software Engineer

May 2018 – Jul 2018 · 2 mos · Bengaluru, Karnataka, India

Interned in the GS Electronic Trading team to create a web based monitoring solution using Python, Flask, Shell.
The app curated all host related information from single API and performs health check for hosts to enhance the resiliency.