Abhimanyu Veer Aditya,美国加州旧金山的开发者
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Abhimanyu Veer Aditya

Verified Expert  in Engineering

机器学习开发人员

Location
旧金山,加州,美国
至今成员总数
May 7, 2019

Abhimanyu is a machine learning expert with 19 years of experience creating predictive solutions for business and scientific applications. 他是一个跨职能的技术领导者, 有组建团队和与c级高管共事的经验. Abhimanyu has a proven technical background in computer science and software engineering with expertise in 高性能计算, big data, algorithms, databases, 分布式系统.

Portfolio

独立机器学习顾问
优化,Amazon S3 (AWS S3), Amazon EC2, Docker, Python, Pandas...
印孚瑟斯技术
Amazon EC2, Amazon Elastic MapReduce (EMR), Amazon S3 (AWS S3), HDFS, MapReduce...
Skytree Inc.
Linux, Bash, Java, R, Pandas, NumPy, SciPy, Scikit-learn, Python, Amazon EC2...

Experience

Availability

Part-time

首选的环境

Git, RHEL, CentOS, Ubuntu, Linux

The most amazing...

...experience I've had is starting and growing my own startup out of a lab at Georgia Tech to 70 full time employees and $30+ million in funding in Silicon Valley.

Work Experience

Self Employed

2018 - PRESENT
独立机器学习顾问
  • Built and deployed multiple personalization ML pipelines to lift offer/coupon conversion rate for customers of major restaurant chain. Application built on Azure Databricks platform with business-configurable pipelines for training, tuning, 测试与预测, 使用Pandas (Python), Spark (PySpark), sklearn和Spark ML. 使用Azure数据工厂部署到生产环境.
  • Automated, hardened, and deployed multiple ML pipelines on AWS (Elastic Map Reduce with Spark and Lambda) to predict next-best-action, forecast performance and predict/prevent churn for sales representatives of major corporation. 数据处理使用Python, PySpark和Spark SQL. 使用Microsoft ML for Spark构建的ML模型.
  • 为一家处于中期的初创公司提供需求方面的建议, features, and architecture needed to support ML pipelines in their high-speed stream processing framework and in-memory data grid. 直接与CEO/CTO和高级技术团队合作.
Technologies: 优化,Amazon S3 (AWS S3), Amazon EC2, Docker, Python, Pandas, Scikit-learn, XGBoost, 解决方案架构, 系统架构

高级产品架构师,Infosys Nia (Palo Alto)

2017 - 2018
印孚瑟斯技术
  • Developed and prioritized the roadmap for the integration of Skytree software into Infosys Nia.
  • 培训了100多名印孚瑟斯销售主管, 解决方案架构师和数据科学家对Skytree的能力, technology, architecture, 系统需求, demos etc. Also trained enterprise-wide data science teams on ML science and best practices.
  • Evangelized the newly acquired ML capabilities to Fortune 500 prospects as well as existing clients.
技术:Amazon EC2, Amazon Elastic MapReduce (EMR), Amazon S3 (AWS S3), HDFS, MapReduce, YARN, Hadoop, Scikit-learn, Pandas, NumPy, SciPy, Python, R, Linux, Bash, Java, OpenMP, MPI, C++, Machine Learning

Co-Founder

2009 - 2017
Skytree Inc.
  • Worked directly with our Fortune 500 customers and collaboratively built predictive machine learning models/pipelines for fraud detection (for American Express), 产品和媒体推荐系统(三星), 信用风险评分-消费者和中小企业(适用于美国运通和Equifax), 领先评分-高级消费者信用卡(适用于美国运通), 余额转账报价优化(针对Discover), 防止流失(E-Harmony), ShoeDazzle), 房地产价格预测(Brookfield RPS), 以及许多其他财富500强客户.
  • Led engineering and data science and ultimately moved to technical product management and ownership for Skytree’s flagship product. Led the research and development of Skytree’s high performance and massively parallel C++ library for tera-scale ML. Implemented (from scratch) mathematically scalable and distributed algorithms for nearest neighbors, random forests, 梯度增强树, 支持向量机, clustering, 协同过滤, etc. for classification, regression, anomaly detection, and 推荐系统. This included many first of the kind innovations in the practical application of ML algorithms to big data.
  • Architected Skytree’s (flagship) Infinity AI platform, including APIs, GUI, and SDKs. The Java-based server coordinated with the underlying multi-tenant Big Data or cloud infrastructure, managing data, users, resources, and scheduling jobs (a mix of Apache Spark for data processing and Skytree’s C++ engine for ML). 平台支持包括Apache Hadoop (YARN) & HDFS) from MapR, Hortonworks, and Cloudera as well as AWS Elastic Map Reduce.
  • Delivered multiple releases of the full stack of Skytree’s AI software as the product manager for all four technical teams (ML, systems, UI, 和数据科学), including defining and prioritizing the roadmap and coordinating release and development efforts across teams.
  • Built world-class engineering (C++/HPC/ML, Java/Systems, and UI) and data science team. Defined requirements, developed and reviewed screening tests, and finalized candidates.
  • 领导技术销售支持工作.
  • Supported POCs, 售前和售后活动, renewals, 通过产品演示, sales calls, 需求收集, trade shows, webinars, seminars, and tutorials.
  • Trained solutions architects/sales engineers and had ownership of the technical resources they needed (demos, documentation, guides, questionnaires, etc.).
  • 在机器学习用户体验领域共同撰写了五项专利申请, 推荐系统, 自动特征工程.
  • 招聘其他各种职位的候选人, 从销售总监到高级领导(销售副总裁), marketing, and engineering).
Linux技术:, Bash, Java, R, Pandas, NumPy, SciPy, Scikit-learn, Python, Amazon EC2, Amazon Elastic MapReduce (EMR), Amazon S3 (AWS S3), HDFS, MapReduce, YARN, Hadoop, Apache Spark, OpenMP, MPI, C++

研究生研究助理

2007 - 2009
佐治亚理工学院
  • Worked on integrating algorithmically optimized machine learning algorithms directly into SQL Server using the .NET platform and C# so that they ran natively inside the database under the purview of the database scheduler.
  • Designed innovative disk-based algorithms to piggyback multi-dimensional space trees over database indexes (B-Tree's) to minimize disk hit rate and optimize cash hit ratio.
  • 专攻计算科学与工程, 高性能计算, 还有人工智能.
Technologies: .. NET, Microsoft, Microsoft SQL Server, Java, c#

软件开发(实习生),分析服务,SQL Server团队

2008 - 2008
Microsoft
  • 集成高级ML算法, 优化了基于磁盘的I/O, as first-class objects into SQL Server Analysis Services and exposed these through the query interface- thus enabling ML models to run in-database.
技术:c#, Microsoft SQL Server

技术助理

2005 - 2007
Trilogy
  • Designed and developed the software for Trilogy's email marketing service for, 被Gateway和Orbitz等客户端使用. The software used segmentation and association rule mining to increase sales, margins, 参与度(电子邮件打开和点击), 和综合数据,如人口统计, email activity, clickstream, promotional, etc.
  • 执行每周活动,产生数百万封目标电子邮件, measured lift through A/B testing and reported results in the form of pivot tables and dashboards.
技术:Microsoft SQL Server, Subversion (SVN), Microsoft, Java

Foresight, Inc.

Foresight is an online service that makes automated machine learning easy to use, intuitive, and visual. It has powerful features built into it that slashes the amount of time from problem to data to predictive solution with readily available visualizations and an eye towards interpretable models and visual insights.

Languages

JavaScript, Python, Java, c++, Bash, SQL, c#, R

Libraries/APIs

XGBoost, MPI, Pandas, Flask-RESTful, Open MPI, OpenMP, REST APIs, Scikit-learn, SciPy, NumPy, Amazon EC2 API, SQLAlchemy, Matplotlib, Ggplot2

Tools

H2O AutoML, Git, Plotly, GNU Dev Tools, Subversion (SVN), GCC, Amazon EBS, Amazon Elastic MapReduce (EMR), Boto 3

Paradigms

Distributed Computing, Data Science, Parallel Computing, REST, Agile, MapReduce

Platforms

Android, RHEL Linux / CentOS, Amazon EC2, Ubuntu, 亚马逊网络服务(AWS), Linux, CentOS, Microsoft, Docker, Eclipse

Other

Machine Learning, Classification, Regression, 推荐系统, 人工智能(AI), 预测分析, 监督式学习, RHEL, 分类算法, 回归建模, Algorithms, 预测建模, Random Forests, 随机森林回归, 渐变增强树, Decision Trees, 决策树分类, 决策树回归, 逻辑回归, 线性回归, 软件开发, Startups, 解决方案架构, 自然语言处理(NLP), GNU, Optimization, 聚类算法, 高代码质量, 时间序列分析, 优化算法, 高科技创业公司, 早期的创业公司, Entrepreneurship, 系统架构, GPT, 生成预训练变压器(GPT), Solution Design, 技术产品管理, A/B Testing, Agile Sprints, Neural Networks

Frameworks

Apache Spark, Flask, .. NET, Hadoop, YARN

Storage

MySQL, Microsoft SQL Server, Amazon S3 (AWS S3), HDFS

2007 - 2009

计算机科学硕士学位

佐治亚理工学院-亚特兰大,佐治亚州,美国

2001 - 2005

计算机科学与工程学士学位

马尼帕尔理工学院-印度

有效的合作

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