Jan Štihec
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Jan Štihec Email & Phone Number

Director, Data and GenAI at Shelf
Location: Stamford, Connecticut, United States 9 work roles 2 schools
1 work email found @shelf.io LinkedIn matched
✓ Verified July 2026 4 data sources Profile completeness 86%

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Current company
Role
Director, Data and GenAI
Location
Stamford, Connecticut, United States
Company size

Who is Jan Štihec? Overview

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Jan Štihec is listed as Director, Data and GenAI at Shelf, a with 211 employees, based in Stamford, Connecticut, United States. AeroLeads shows a work email signal at shelf.io and a matched LinkedIn profile for Jan Štihec.

Jan Štihec previously worked as Director of Data & Analytics at Shelf and Head of Data Science at Silver Brain Ai Ag. Jan Štihec holds Bachelor'S Degree, Computer And Information Sciences, General from University Of Ljubljana, Faculty Of Computer And Information Science.

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jtihec@shelf.io
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About Jan Štihec

Jan Štihec is a Director, Data and GenAI at Shelf.

Current workplace

Jan Štihec's current company

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Shelf
Shelf
Director, Data and GenAI
Stamford, CT, US
Website
Employees
211
AeroLeads page
9 roles

Jan Štihec work experience

A career timeline built from the work history available for this profile.

Director, Data And Genai

Stamford, Ct, Us

Director Of Data & Analytics

Current
Jul 2023 - Present

Head Of Data Science

Zurich, Switzerland

We are the Open AI of closed expert knowledge domains - HSE, compliance, law, tax and insurance.With Artificial Intelligence (NLU, NLP, NLI, Generative AI based) products & services we are solving problems in Risk and Legal, Marketing and Sales, Operations, IT/engineering, HR for corporate clients.

Jan 2023 - Jul 2023

Data Science Lead

Zug, Switzerland

Artificial Intelligence powered Enterprise SaaS for cost reduction and improvements in Occupational health and safety in Switzerland.

Aug 2022 - Jul 2023

Freelance Data Scientist And Software Developer

Self-Employed

Client #1: Project: Analyzing Twitter communications during the 2021 OlympicsResult: Time series analysis of 417 accounts involved in the Olympics (over 250.000 tweets). The analysis involved sentiment analysis, deep emotions analysis, topic extraction, regression analysis of impact and impressions, flexible timeline analysis, interactive visualization.Tech: spaCy, statsmodels, numPy, pandas, D3.js, transformers, BERTClient #2: Project: Financial text summarizationResult: The solution provides an extractive and abstractive summary for the given input text. The model was finetuned on a financial dataset and is deployed as a REST API service.Tech: transformers, BERT, PEGASUS, spaCy, FastAPI, Docker.Project: PDF relevant information extraction, NER and entity resolution.Result: For each PDF the solution extracts predefined entities (name, address, email, number and date) and relevant sentences where relevancy is based on the underlying sentence topic/theme.Tech: Spacy, pyPDF2, transformers, FastAPI.Client #3: Project: Inventory item similarityResult: Developed an algorithm for calculating the degree of similarity between inventory items using Item ID and Item Description. For each item the algorithm returned 3 most similar items from the database (300.000 + items). The accuracy achieved was over 95% (measured on a smaller subset).Tech: scikit-learn, spaCy, pandas, numpy Client #4:Project: Collecting inventory items from a list of autoparts webstoresResult: Wrote a script for collecting inventory items from a list of webstores (15 webstores). Items were saved in a SQL database.Tech: Selenium, BeautifulSoup, MySQLProject: Geocoding a list of company addressesResult: Wrote a script which using different APIs converted addresses to geographical coordinates for several thousand companies.Tech: Selenium, pandas

Oct 2020 - Sep 2022

Data Scientist & Nlp Engineer

Ljubljana, Slovenia

Project #2 (2020-2022) – Research team member*Research: Quantitative and qualitative analysis of unregulated parts of corporate financial reporting.*Description: My role included data collection, data cleaning, text pre-processing and tagging, vectorization, model building and evaluation, presentations. My main work was developing an algorithm for detection of forward looking sentences (FLS).*Results: We described part of our FLS detection approach in a paper available at: https://aclanthology.org/2021.fnp-1.4.pdf The paper was accepted for The 3rd Financial Narrative Processing Workshop (FNP 2021), which I attended and presented our work.Project #1 (2017-2019) – Research team member*Research: Analyzing the importance of informal forms of communication and unregulated part of annual reports on capital markets.*Description: My role included document parsing and sentence extraction, text pre-processing and tagging, vectorization, model building and evaluation, data interpretation and presentations. My main work was developing an algorithm for detection of semantic orientations in economic texts.*Results: We presented the algorithm in a paper available at: https://link.springer.com/chapter/10.1007/978-3-319-76941-7_64 The paper was accepted for The 2018 European Conference on Information Retrieval in Grenoble, France. Coworker and I attended the conference and presented our work.

Jan 2017 - Sep 2022

Infrastructure Engineer

Slovenia

Worked as a part of the team which executed an IT infrastructure upgrade (hardware replacements and software updates) at different Novartis locations in Slovenia.

Sep 2015 - Jan 2016
Team & coworkers

Colleagues at Shelf

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2 education records

Jan Štihec education

FAQ

Frequently asked questions about Jan Štihec

Quick answers generated from the profile data available on this page.

What company does Jan Štihec work for?

Jan Štihec works for Shelf.

What is Jan Štihec's role at Shelf?

Jan Štihec is listed as Director, Data and GenAI at Shelf.

What is Jan Štihec's email address?

AeroLeads has found 1 work email signal at @shelf.io for Jan Štihec at Shelf.

Where is Jan Štihec based?

Jan Štihec is based in Stamford, Connecticut, United States while working with Shelf.

What companies has Jan Štihec worked for?

Jan Štihec has worked for Shelf, Silver Brain Ai Ag, Safecho Ag, Self-Employed, and Jozef Stefan Institute.

Who are Jan Štihec's colleagues at Shelf?

Jan Štihec's colleagues at Shelf include Katarzyna Kowalska, Mykyta Khmel, Dmytro Bondarenko, Kristina Zhak, and Polina Dobrianska.

How can I contact Jan Štihec?

You can use AeroLeads to view verified contact signals for Jan Štihec at Shelf, including work email, phone, and LinkedIn data when available.

What schools did Jan Štihec attend?

Jan Štihec holds Bachelor'S Degree, Computer And Information Sciences, General from University Of Ljubljana, Faculty Of Computer And Information Science.

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