Pulkit Goel

AI Researcher

Seattle, Washington, United States9 yrs 1 mo experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Expert in Machine Learning and NLP applications.
Proven track record in developing innovative ML solutions.
Strong background in quantitative analysis and risk management.

Stackforce AI infers this person is a Machine Learning expert with a strong focus on E-commerce and Fintech solutions.

Contact

pulkit.26mar@gmail.com LinkedIn

Skills

Core Skills

Machine LearningNatural Language Processing (nlp)Data ScienceQuantitative AnalysisRisk ManagementSoftware DevelopmentData EngineeringBlockchain DevelopmentSoftware Engineering

Other Skills

AlgorithmsAmazon Web Services (AWS)AnalyticsAnomaly DetectionArtificial Intelligence (AI)Big Data AnalyticsBlockchainBlockchain AnalysisCC++Computer VisionConvolutional Neural Networks (CNN)DBSCANData AnalyticsData Structures

About

I am a Machine Learning researcher, and I enjoy working on applications of Deep Learning in multimodal domains encompassing NLP, CV, and signal processing. At Amazon, I have worked on solving multilingual NLP problems for Amazon Search such as machine translation, spell correction, and multilingual search. I completed my Master's at Carnegie Mellon University, majoring in Computational Data Science, and previously, worked with Goldman Sachs, Cloudflare, and D.E. Shaw bringing Machine Learning solutions to a wide domain of problems. If you want to chat more about Machine Learning, feel free to reach out to me at pulkit.26mar@gmail.com.

Experience

9 yrs 1 mo

Total Experience

3 yrs

Average Tenure

5 yrs 3 mos

Current Experience

Amazon

2 roles

Senior Data Scientist

Promoted

Dec 2023 – Present · 2 yrs 6 mos · Seattle, Washington, United States

Sr Data Scientist with the NERDS team (Network Economics, Research & Data Science)

Data Scientist II

Mar 2021 – Dec 2023 · 2 yrs 9 mos · Seattle, Washington, United States

As a Scientist with the Machine Translation research group, I have worked on improving the Amazon Search experience across markets and languages. My projects have focused on training and improving neural Machine Translation models for Amazon search queries, transliteration models, brand handling, and spell correction in Amazon search queries.

Machine TranslationNeural Machine TranslationSpell CorrectionMultilingual SearchMachine LearningNatural Language Processing (NLP)

Carnegie mellon university school of computer science

2 roles

Teaching Assistant

Promoted

Aug 2020 – Dec 2020 · 4 mos · Pittsburgh, Pennsylvania, United States

Teaching Assistant for Data Science Seminar. Responsibilities include reviewing the latest research publications and coordinating discussions on the same amongst students.

Research Assistant

Mar 2020 – May 2020 · 2 mos · Pittsburgh, Pennsylvania, United States

Designed a new graduate-level course "Foundations of Computational Data Science" at Language Technologies Institute, CMU. Designed assignments to give students experience in discriminative modelling tasks in Machine Vision and Natural Language Processing.

Cloudflare, inc.

Machine Learning Intern

May 2020 – Aug 2020 · 3 mos · San Francisco Bay Area / Pittsburgh

Implemented a product recommender system that clusters similar customers & characterizes products for each cluster
Deployed Isolation Forest and DBSCAN models to detect anomalies in the consumer data, with 500+ potential daily users

Product Recommender SystemAnomaly DetectionIsolation ForestDBSCANMachine LearningData Science

Goldman sachs

2 roles

Quantitative Associate

Dec 2018 – Jun 2019 · 6 mos · Bengaluru Area, India

Risk Informatics Strats
Developed models for quantitative attribution of risk to market movements using Multiple Linear Regression
Identified potential risky market scenarios through Portfolio Tree Characterization using PCA & Hierarchical Clustering

Senior Quantitative Analyst

Jun 2017 – Dec 2018 · 1 yr 6 mos · Bengaluru Area, India

Market Risk and Capital Quantification
Designed and implemented a Decision graph to detect pricing anomalies and recommend interventions, thereby leading to a reduction of over 90 man-hours to 30 man-hours on a daily basis
Designed Pattern Analytics model to dynamically map Commodities products to different regulatory reporting cuts, thereby decommissioning 3000+ static mapping configurations

Multiple Linear RegressionPortfolio Tree CharacterizationPCAHierarchical ClusteringQuantitative AnalysisRisk Management

Arcesium (the d. e. shaw group)

2 roles

Senior Member Technical

Promoted

Jan 2017 – Jun 2017 · 5 mos · Hyderabad Area, India

- Designed architecture & implemented Java libraries for optimized database queries, user actions & data visualization, using technologies such as Spring, Maven, ActiveMQ, Mockito, Jenkins and REST framework

Decision GraphPattern AnalyticsDynamic MappingQuantitative AnalysisRisk Management

Member Techinal

Jul 2015 – Dec 2016 · 1 yr 5 mos · Hyderabad Area, India

- Implemented a smart contract deploying the Blockchain tech, using Ethereum’s proprietary language (Solidity), and was awarded as the 2nd best project across the firm in an innovation-based initiative

JavaDatabase QueriesData VisualizationSoftware DevelopmentData Engineering

The d. e. shaw group

Summer Intern

May 2014 – Jun 2014 · 1 mo · Hyderabad Area, India

Studied the entity structure and fund flow of D.E. Shaw and coded a service for generating a graphical representation of the same. Received a Pre-Placement Offer (PPO) for a full time position.
Project aimed at generating a graphical representation of this structure for any date queried by the user by retrieving the data from the firm's server.
Java EE based project with exposure to concepts of Struts, Maven, XML, Javascript, JQuery, HTML, CSS and JSP.
Implemented JointJS API (MPL v2 license) for generating the fund flow structure.

BlockchainSmart ContractsSolidityBlockchain DevelopmentSoftware Engineering