Abhimanyu Veer Aditya
Verified Expert in Engineering
Machine Learning Developer
Abhimanyu是一名机器学习专家，拥有19年为商业和科学应用创建预测解决方案的经验. He’s a cross-functional technology leader, experienced in building teams and working with C-level executives. Abhimanyu在计算机科学和软件工程方面有着成熟的技术背景，在高性能计算方面拥有专业知识, big data, algorithms, databases, and distributed systems.
Portfolio
Experience
Availability
Preferred Environment
Git, RHEL, CentOS, Ubuntu, Linux
The most amazing...
...我的经历是在乔治亚理工学院的一个实验室里创办并发展自己的公司，拥有70名全职员工，在硅谷获得了3000多万美元的资金.
Work Experience
Self Employed
Independent Machine Learning Consultant
- 构建和部署多个个性化ML管道，以提高大型连锁餐厅客户的优惠/优惠券转化率. 应用程序建立在Azure Databricks平台上，具有业务可配置的培训管道, tuning, testing and prediction, using Pandas (Python), Spark (PySpark), sklearn and Spark ML. Deployment to production using Azure Data Factory.
- Automated, hardened, 并在AWS上部署了多个ML管道(Elastic Map Reduce与Spark和Lambda)来预测下一个最佳操作, 为大公司的销售代表预测业绩并预测/防止客户流失. Data processing used Python, PySpark and Spark SQL. ML models built using Microsoft ML for Spark.
- Advised a mid-stage startup on the requirements, features, 和架构需要在其高速流处理框架和内存数据网格中支持ML管道. Worked directly with the CEO/CTO and senior technical team.
Senior Product Architect, Infosys Nia (Palo Alto)
Infosys Technologies
- 制定Skytree软件集成到Infosys Nia的路线图并确定其优先级.
- Trained 100+ Infosys sales leaders, solutions architects and data scientists on Skytree capabilities, technology, architecture, system requirements, demos etc. 还培训企业范围内的数据科学团队学习机器学习科学和最佳实践.
- 向财富500强潜在客户和现有客户宣传新获得的机器学习功能.
Co-Founder
Skytree Inc.
- 直接与财富500强客户合作，为欺诈检测构建预测机器学习模型/管道(为美国运通), product and media recommender systems (for Samsung), credit risk scoring - consumer and SMB (for American Express and Equifax), Lead Scoring - Premium Consumer Credit Card (for American Express), Balance Transfer Offer Optimization (for Discover), churn prevention (E-Harmony, ShoeDazzle), real estate price prediction (Brookfield RPS), and many others for Fortune 500 clients.
- 领导工程和数据科学，最终转向技术产品管理和Skytree旗舰产品的所有权. 领导Skytree的高性能和大规模并行c++库的研究和开发，用于兆级机器学习. 为最近邻实现(从零开始)数学上可扩展和分布式算法, random forests, gradient boosted trees, support vector machines, clustering, collaborative filtering, etc. 用于分类、回归、异常检测和推荐系统. 这包括在ML算法对大数据的实际应用方面的许多首创创新.
- Architected Skytree的(旗舰)Infinity AI平台，包括api, GUI和sdk. 基于java的服务器与底层多租户大数据或云基础设施协调, managing data, users, resources, 和调度作业(混合了用于数据处理的Apache Spark和用于ML的Skytree的c++引擎). Platform support included Apache Hadoop (YARN & 包括MapR、Hortonworks和Cloudera的HDFS，以及AWS Elastic Map Reduce.
- 作为四个技术团队的产品经理，交付了Skytree人工智能软件全栈的多个版本, systems, UI, and data science), 包括定义和确定路线图的优先级，以及跨团队协调发布和开发工作.
- 建立了世界级的工程(c++ /HPC/ML, Java/系统和UI)和数据科学团队. 定义需求，开发和审查筛选测试，并最终确定候选人.
- Spearheaded the technical sales enablement efforts.
- Supported POCs, pre and post-sales activities, renewals, through product demos, sales calls, requirements gathering, trade shows, webinars, seminars, and tutorials.
- 受过培训的解决方案架构师/销售工程师，拥有他们需要的技术资源(演示), documentation, guides, questionnaires, etc.).
- Co-authored five patent applications in the areas of ML user experience, recommender systems, and automatic feature engineering.
- Recruited candidates for various other positions, from sales directors to senior leadership (VP of sales, marketing, and engineering).
Graduate Research Assistant
Georgia Institute of Technology
- 将算法优化的机器学习算法直接集成到SQL Server中 .. NET平台和c#，以便它们在数据库调度器的权限下在数据库内部本地运行.
- 设计创新的基于磁盘的算法，在数据库索引(B-Tree)上承载多维空间树，以最小化磁盘命中率并优化现金命中率.
- Specialized in computational science and engineering, high-performance computing, and artificial intelligence.
Software Developer (Intern), Analysis Services, SQL Server Team
Microsoft
- Integrated advanced ML algorithms, optimized for disk-based I/O, 作为一级对象进入SQL Server Analysis Services，并通过查询接口公开这些对象——从而使ML模型能够在数据库中运行.
Technical Associate
Trilogy
- 设计和开发的软件三部曲的电子邮件营销服务, used by clients such as Gateway and Orbitz. 该软件使用分段和关联规则挖掘来增加销售额, margins, and engagement (email opens and clicks), and integrated data such as demographic, email activity, clickstream, promotional, etc.
- Executed weekly campaigns that generated millions of targeted emails, 通过A/B测试测量提升，并以数据透视表和仪表板的形式报告结果.
Experience
Foresight, Inc.
Education
Master of Science Degree in Computer Science
Georgia Institute of Technology - Atlanta, Georgia, USA
Bachelor of Technology Degree in Computer Science and Engineering
Manipal Institute of Technology - India
Skills
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
Languages
JavaScript, Python, Java, C++, Bash, SQL, C#, R
Paradigms
分布式计算，数据科学，并行计算，REST，敏捷，MapReduce
Platforms
Android, Linux RHEL/CentOS, Amazon EC2, Ubuntu, Amazon Web Services (AWS), Linux, CentOS, Microsoft, Docker, Eclipse
Storage
MySQL, Microsoft SQL Server, Amazon S3 (AWS S3), HDFS
Frameworks
Apache Spark, Flask, .NET, Hadoop, YARN
Other
Machine Learning, Classification, Regression, Recommendation Systems, Artificial Intelligence (AI), Predictive Analytics, Supervised Learning, RHEL, Classification Algorithms, Regression Modeling, Algorithms, Predictive Modeling, Random Forests, Random Forest Regression, Gradient Boosted Trees, Decision Trees, Decision Tree Classification, Decision Tree Regression, Logistic Regression, Linear Regression, Software Development, Startups, Solution Architecture, Natural Language Processing (NLP), GNU, Optimization, Clustering Algorithms, High Code Quality, Time Series Analysis, Optimization Algorithms, High-tech Startups, Early-stage Startups, Entrepreneurship, System Architecture, GPT, Generative Pre-trained Transformers (GPT), Solution Design, Technical Product Management, A/B Testing, Agile Sprints, Neural Networks
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