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@redapt.com
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Lev Selector, Ph.D. is listed as AI Expert, Artificial Intelligence, Generative AI, LLM - Large Language Models, ChatGPT, Anthropic Claude, Google Gemini, Mistral, Ollama, Local AI Solutions, RAG, Vector Databases, Embeddings, Machine Learning at Enterprise AI Solutions, based in New York, New York, United States. AeroLeads shows a work email signal at redapt.com, phone signal with area code 917, 212, and a matched LinkedIn profile for Lev Selector, Ph.D..
Lev Selector, Ph.D. previously worked as AI Architect at Enterprise Ai Solutions and CTO & Co-Founder at Bixbeta. Lev Selector, Ph.D. holds Ph.D., Mathematical Modelling, Computer Simulations, Biophysics from Moscow Institute Of Physics And Technology (State University) (Mipt).
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AeroLeads found 1 current-domain work email signal for Lev Selector, Ph.D.. Compare company email patterns before reaching out.
• Artificial Intelligence AI, Large Language Models LLM, Agents, RAG, Vector Databases, AI Applications,• Machine Learning, Data Science, Analytics, Expert, Leadership, Team Builder• Ph.D. in mathematical modeling and computer simulations• Experience of building teams of engineers and data scientists (hiring, training, and managing)• 15+ years of experience with high-volume data processing, analytics, and modeling• Proven track record of building data and analytics systems from scratch, and delivering them on time• Full cycle development from requirements and planning to architecture & implementation• Experience in different areas - Financial, Advertising, e-Commerce, Media, Publishing, Crypto• Data Engineering on clouds (AWS, Azure, GCP) and on-prem, ETL, APIs, big data, data mining• Mathematics and Finance: Ph.D. (Math. Modeling), Advanced Calculus (Math Analysis), Linear Algebra, Vectors & Tensors, Theory of Complex Variables, Differential Equations, Partial Differential Equations, Differential Equations in Mathematical Physics, Probability & Statistics, Statistical Radiophysics (including time series analysis and digital pattern recognition algorithms), Optimization, Monte Carlo Simulations, Numerical Methods, Machine Learning, Deep Learning, NLP, Transformers, Generative AI, LLMs• Programming & Data Science Tools: Python, Pandas, NumPy, SQL, ETL, FastHTML, Ollama, LangChain, LangGraph, Scikit-Learn, NLP/NLTK, Huggingface tools, AWS SageMaker, Perl, Go (Golang), Javascript, C/C++, Java, Excel VBA, SQL databases (PostgreSQL, MySQL, Vertica, Netezza, Google BigQuery, MongoDB, Sybase, DB2, Oracle, MS SQL), Web Apps, Cloud (Amazon AWS, Azure, Google, IBM)
Listed skills include Machine Learning, Python, Artificial Intelligence, Sql, and 45 others.
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A career timeline built from the work history available for this profile.
- AI projects using LLM (Large Language Models) for business - local and on cloud- RAG (Retrieval Augmented Generation) - custom private conversational interfaces for business systems. Talk to your data - cognitive search- Text generation (generate newsletters, contracts, instructions, summaries, FAQs)- Generating workflow diagrams and documentation for.
- AI-enabled crypto accounting and payment/donation solution- Generative AI for Natural Language Interface to analytics and reporting
Woodinville, Washington, US
- Building, training, and managing a team of data scientists and engineers- Data architecture in the cloud (Azure, AWS, Google)- Data pipelines (Apache AirFlow, Astronomer.io, Google Cloud Composer, Azure Data Factory, Synapse Integrate)- SQL Data Warehouse (Google BigQuery, Azure Data Warehouse, AWS Redshift)- Hands on Machine Learning modeling in the.
- National Debt Relief ( https://www.nationaldebtrelief.com ) Machine Learning and ETL in production; - Provisions Group ( https://provisionsgroup.com ) Machine Learning with AWS SageMaker and R; - Vara Platform ( https://varaplatform.com ) Data Integration for analytics platform
London, UK, GB
- Building, training, and managing a team of data scientists- Hands on modeling using Python, AWS, Linux VMs- Mainframe Test Automation project using Python, GnuCOBOL, libFuzzer, antlr4, Neo4j
New York, New York, US
- Building, training, and managing a team of data scientists- Full cycle Machine Learning from data preparation, feature selection, model testing and tuning, deploying into production, tuning for performance and reliability- Hands on modeling using Python, Azure cloud, H2O driverless AI, DataRobot- Data Engineering - building ETL processes for data.
Mumbai, Maharashtra, IN
Worked on helping Vanguard to migrate their analytics from old platform (mainframe) to Amazon Cloud. Machine Learning and Artificial Intelligence, Scikit-Learn, AWS SageMaker. Designed architecture for data migration into the cloud (AWS) for analytics, developed data structures and lambda functions. Managed deployment. Trained a team in ML and AI (hands-on.
Machine Learning, AI, Analytics, NLP (Natural Language Processing). Anaconda Python3, Scikit-Learn, NLTK, Pandas, Numpy, TensorFlow, Amazon AWS (EC2, S3), Google Cloud (BigQuery, MySQL), IBM Cloud (IBM Watson – Natural Language Understanding for Sentiment Analysis, Tone Analyzer, Personality Insights) - Galvanize ( https://www.galvanize.com/new-york ).
New York, NY, US
Trained and led the team to build systems in Business Intelligence/Analytics, Big Data Collection and Integration (ETL/ELT), Machine Learning and AI, Reporting. Python, pandas, TensorFlow, Netezza, SQL, Redis, Amazon Cloud, Linux- Managed work of several programmers to write software for high-volume data collection (parallel web scraping at ~2 Mln.
New York, New York, US
Led a team of developers to design and implement systems for processing big data (~60TB/day) for billing, reporting, and analytics. Linux, Python, Pandas, Vertica, Mysql, Hadoop, Hive, git- Trained and managed a team of developers for building the billing/reporting systems and cost_revenue database. Taught courses on python/pandas to the company’s.
New York, NY, US
Mortgage Analytics (Structured Products Group). MBS (Mortgage-Backed Securities) - cashflows, prepayment, pricing.Technologies: Unix/Linux, C/C++, Perl, Python, Sybase, Excel VBA.Played a key role in migrating legacy C++ calculators (Fixed Income MBS) across data centers. Personally fixed and migrated ~100 applications, including old C/C++ applications.
Old Greenwich, CT, US
- Worked directly with senior portfolio managers and traders to create and monitor performance of new strategies. Created monitoring tools. Used parameters such as position similarity, fillrate, imbalance, PnL, draw-down, sharpe ratio, slippage measure, etc. Resized strategies as needed.- Ran simulations to back-test strategies.- Misc. routine tasks.
New York, New York, US
Consultant at Equity Financing. Migration of perl/java/SQL data and analytics jobs from Sybase to MS SQL Server. Data cleaning and validation. Technologies: Unix, Perl, C++, Java, Sybase, MS SQL Server.
Charlotte, NC, US
Equity, Operations. Miscellaneous projects: MySQL database upgrade and migration, RT (Request Tracker) custom Perl programming (perl cgi, javascript, css, RT::*, Linux), custom monitoring reports using perl to scrape information from various web pages and send it using TIBCO Rendezvous messaging.
London, GB
Consultant at Asset Management Group. Fixed Income & Equities. Working directly with traders. Trade feeds & reports. PnL and risk reports. Analytics. Technologies: Perl, Sybase 12.5, Oracle, Windows Server 2003, Control-M, SVN
New York, NY, US
As part of a consulting team from Hewlett Packard participated in a short-term project reviewing architecture of ETL processes (Extract-Transform-Load) and data flows in several datastores in Private Banking at JPMorgan-Chase. The goal of the review was to find how the system should be changed to be capable to process more data (x5 and more) in the same.
New York, NY, US
EFS project (Enterprise File System). Started as a developer. Later was responsible for EFS operations, including all production releases. Technologies: Unix, Perl, C/C++, Oracle, Sybase, NAS filers, NFS
New York, NY, US
Joint Distribution System (JDS). Database architecture, ETL, database performance tuning, automation of testing/deployment. Technologies: Unix, Perl, Java, Sybase
CSFB Prime Services. Development and support of an Operational Data Warehouse. Unix, Sybase, Perl, Bash, CGI, Java servlets (Weblogic), CVS version control, Control-M. * Development/maintenance of the Prime Services Data Warehouse (PSDW) - a set of 4 databases and approx. 200 ETL jobs. Performance tuning, avoiding blocking. * Developed a big searchable web.
New York, New York, US
FICC (Fixed Income Currencies and Commodities). Development and maintaining of the OE (Organizational Entities) system – a web-based application with database of all FICC clients, their accounts, business interests, people and contact information. Later migration of this system to Siebel CRM. Technologies: Unix, Perl, C++, Java, Sybase, DB2, Informatica.
New York, New York, US
Maintenance and redesign of DTS - a large distributed trading systems. Unix (Sun OS) and Windows NT, Apache, mod_perl, CGI / Apache::Registry, Perl DBI, Sybase, SQL, HTML, DHTML, JavaScript, graphics, Java.
Toronto, Ontario, CA
Design of enterprise size scalable web sites with load balancing, business applications and security. Windows NT and Unix (Solaris, BSDI) platforms. Technology: web servers (Apache, Stronghold, Netscape Enterprise 3.6, IIS-4), Netscape Application Server, CGI scripts (Perl, C), HTML, JavaScript, VBScript, ASP, graphics, Oracle, SQL.
Selling misc. goods and services. Web design and database design.
New York, New York, US
Post-doctoral position. Mathematical modeling of dynamics of organic molecules. To speed-up the calculations, programs were written in C and distributed to several unix computers in different labs. Operations were controlled from one desktop Macintosh computer. Results were fed from unix to Mac and custom programs (Mac C++ and IGOR software ) were used to.
* Project originator and lead developer - real time data acquisition and processing in neuro-physiological experiments.* Project originator and lead developer for hardware and software design of a portable myograph-neurograph for clinical use. (Big project. First version of software was ~25,000 lines of code, software technology used - Pascal, Assembler.
Quick answers generated from the profile data available on this page.
Lev Selector, Ph.D. works for Enterprise AI Solutions.
Lev Selector, Ph.D. is listed as AI Expert, Artificial Intelligence, Generative AI, LLM - Large Language Models, ChatGPT, Anthropic Claude, Google Gemini, Mistral, Ollama, Local AI Solutions, RAG, Vector Databases, Embeddings, Machine Learning at Enterprise AI Solutions.
AeroLeads has found 1 work email signal at @redapt.com for Lev Selector, Ph.D. at Enterprise AI Solutions.
AeroLeads has found 2 phone signal(s) with area code 917, 212 for Lev Selector, Ph.D. at Enterprise AI Solutions.
Lev Selector, Ph.D. is based in New York, New York, United States while working with Enterprise AI Solutions.
Lev Selector, Ph.D. has worked for Enterprise Ai Solutions, Bixbeta, Redapt Inc, Selectorweb, Inc, and Capco.
You can use AeroLeads to view verified contact signals for Lev Selector, Ph.D. at Enterprise AI Solutions, including work email, phone, and LinkedIn data when available.
Lev Selector, Ph.D. holds Ph.D., Mathematical Modelling, Computer Simulations, Biophysics from Moscow Institute Of Physics And Technology (State University) (Mipt).
Lev Selector, Ph.D. is listed with skills including Machine Learning, Python, Artificial Intelligence, Sql, Data Science, Team Leadership, Deep Learning, and Unix.
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