Apoorv Jindal

CTO

Seattle, Washington, United States10 yrs 11 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Expert in algorithms and data science applications.
Proven track record in optimizing search and ranking systems.
Strong experience in risk management using quantitative models.

Stackforce AI infers this person is a Data Science and Algorithms expert in the Tech and Fintech industries.

Contact

apoorvjindal1993@gmail.com LinkedIn

Skills

Core Skills

AlgorithmsMachine LearningData ScienceQuantitative AnalysisSoftware DevelopmentAws

Other Skills

AI Data QualityAWS SQSAds Ranking OptimizationAlgorithm DesignAmazon Web Services (AWS)Applied Machine LearningArtificial IntelligenceCC++CSSCascading Style Sheets (CSS)Computer NetworkingCore JavaData AnalysisData Compression

About

Passionate computer scientist with interest in applications of Algorithms, Distributed systems and parallel computing, Data Science, Analytics and Mathematics to help businesses grow and solve needs of people at scale. Interests: Algorithm Development and optimization Distributed systems Parallel Computing Machine learning and AI Data Science Mathematical Modeling Competitive Programming

Experience

Google

Technical Lead

Jan 2021 – Present · 5 yrs 2 mos · Seattle, Washington, United States

Gemini AI Data Quality
AI Data Quality for better evals, model training/performance and CUJ results.
Ranking Algorithms @ Google Search Ranking
Google Search Ranking/Quality
Improve the ranking of Google Search Results, trending and topical videos
Google Ads Ranking/Quality
Ads Ranking Optimization. Recommend better ads, more efficiently.

AI Data QualityRanking AlgorithmsAds Ranking OptimizationAlgorithmsMachine Learning

Microsoft

Technical Lead

Jun 2019 – Jan 2021 · 1 yr 7 mos · Greater Seattle Area

Microsoft Office- Data Insights and growth
Core Search Relevance - Bing/ Microsoft AI+ Research
Design and engineer Algorithms to make enterprise search more relevant, faster and reliable. Optimize recall, precision, and ranking in a compliant data blind environment.

Algorithm DesignSearch RelevanceData InsightsAlgorithmsData Science

Goldman sachs

3 roles

Quantitative Strategist- Associate

Promoted

Jan 2019 – May 2019 · 4 mos

Model validation quant - part of Model Risk Management team in the Finance/Risk Division.
Using Data Science to manage risk that arises from quantitative models used in the firm through its range of businesses – from models used for derivatives valuation to models used for risk management, liquidity and capital computations.

Data ScienceModel ValidationRisk ManagementQuantitative Analysis

Quantitative Strategist - Senior Analyst

Promoted

Jan 2017 – Jan 2019 · 2 yrs

Quantitative Strategist- Analyst

Jun 2016 – Dec 2016 · 6 mos

Amazon

Software Development Engineer

Jan 2015 – May 2016 · 1 yr 4 mos

Amazon Search and Discoverability - Last Mile
Worked on search and discoverability of Last Mile logistic nodes like pickup points and lockers.
Developed Geospatial Access Point Search Service via Zipcode for Amazon retail stack .
Developed and owned an Event Management Service for Pickup Point Emails based on AWS SQS

Geospatial Access Point SearchEvent Management ServiceSoftware DevelopmentAWS