Dan Alexandru

AI Engineer

Ia?i,Ia?i County, Romania

8+ Years Exp

Summary

Dan is a seasoned professional with expertise in programming, particularly in languages like Python, JavaScript, Node.js, and HTML. With strong experience in Machine learning, NLP (Natural Language Processing), LLM(Large Language Models), he has good knowledge on Generative AI, Algorithm design, etc. He has extensive experience working with LLMs  like ChatGPT, including versions such as GPT-3 and GPT-4. Dan also utilizes Docker for containerization, Python libraries such as Pandas and Airflow, and ML libraries like scikit-learn, LDK, space c, TensorFlow, torch, and NumPy. Additionally, he frequently employs Rest APIs to design microservices in his daily work, and his most recent project involved collaboration with LLMs, with a notable focus on ChatGPT. 

Technical Skills

Detailed View

Python
Linux
Rest API
TensorFlow
NLP
Machine Learning
Generative AI
GPT
Software As A Service
Power BI
Data Sets
User Stories
Confluence
Figma
Python Programming
ETL
Github

Work Experience

Founder

Stealth Startup

Full Time | 20/12/2022 - Present

Remote | Poland

  • Working on a SaaS product that will ease access to multiple Large Language Models (LLMs), familiarize the user with prompt engineering and various use case clusters, with full control over their data and spending.

Senior NLP Engineer

Mocha Global

Full Time | 27/06/2022 - 09/02/2023

Remote | Poland

  • Responsible for the ML research for a mobile keyboard and SDK, coordinating between BI, PM and Dev departments.
His experiments were split between:
  • Monetization/marketing research.
  • Logs analysis.
  • Mobile keyboard features augmentation (autocorrect, next word prediction, typing experience).
  • GPT research-use cases in a mobile keyboard, compression for offline use, latest improvements and how they can be integrated in their product and their architecture (GPT-3, ChatGPT).

Data Scientist

Blueprint Technologies

Full Time | 28/09/2020 - 08/09/2022

Remote | Poland

  • His tenure at Blueprint enabled him to be a more flexible data scientist, making it easier for him to switch between the different archetypes that he need to fill for a project.
  • Built and documented a Graph Data Connect PoC with a small engineering team in a single sprint-using GDC data, Azure Text Analytics, Azure Synapse, PowerBI to analyze conversations at scale in an easily configurable and decoupled manner.
Responsible for the Data Science research and integration work on a staffing tool that leverages both structured and unstructured data (mostly text), which involves:
  • (Heavy) Python engineering work on internal libraries for ETL, ML (scikit-learn) and NLP (spacy, word2vec), focused on clean and well-documented code (docstrings, doctests).
  • Built and maintained processing modules used on Databricks that make use of the custom libraries.
  • Versioned and analyzed processed datasets, models, training and inference logs.
  • Worked with multiple teams (Romania / USA), coordinated and integrated various approaches.
Part of the work was open-sourced: https://github.com/microsoftgraph/dataconnect-solutions/

Product Manager & Data Science Project Manager

Blueprint Technologies

Full Time | 29/03/2021 - 08/09/2022

Remote | Poland

  • Product responsibilities revolved around both business-related tasks such as market research, refining product vision and technical tasks such as evaluating feature feasibility, writing and managing user stories (especially for data roles) and testing.
  • Heavy user of Confluence, Figma and Github Projects. Promoted the creation of solid documentation and shifted the engineering department from disconnected non-standardized documenting processes to a self-sustainable, detailed and efficient documenting system that helped deliver many projects since.

Product Data Scientist

Optymyze

Full Time | 27/05/2019 - 07/05/2020

Ia?i, Romania

  • Assisted in the development of a peer feedback app, with a heavy emphasis on visualization and frequent reporting to C-suite:
  • Product analytics statistical analysis of application usage, outlier detection (Convex Hull, LOF).
  • NLP tracking irrelevant feedback, feedback distance, keywords/topics (frequent global topics, user relationship topics), sentiment analysis.
  • Network Analysis force graphs, community detection (Louvain modularity) and link analysis (HITS), evaluation clustering (DBSCAN).
  • NLP keyword extraction and chunking from users’ feedback-Flask+Spacy prototype using a weighted/voting ensemble approach.
  • PowerBI dashboard for delving into user behaviors (treemaps, timelines).
Involved in conceptualization stages:
  • Kept track of the data science backlog through mindmaps.
  • Translated research results into business insights (reports) for various audiences and app improvements/features/graphs (Plotly + Figma).

Data Scientist

Optymyze

Full Time | 22/08/2017 - 10/05/2019

Ia?i, Romania

Duration: February 2018-May 2019

Role: Data Scientist
Initiated multiple research projects, built as standalone products from the ground up:
  • Gathering requirements, market research, constant Agile refinement and validation of the products with the clients.
  • Building and enhancing HR datasets and KPI Excel workbooks (macro-enabled) for employment & recruitment, driving analytics and metrics tracking through dashboards and reports built with Plotly Dash and PowerBI.
Sales chat analysis focused on:
  • Topic modeling (topic extraction and topic similarity using LDA, word2vec, t-SNE).
  • Influencer analysis (general experts vs topic experts).
  • Client and concept perception (sentiment polarity/subjectivity, word2vec).
Duration: August 2017-February 2018
Role: Data Scientist
  • Worked in an international team that aimed to provide analytical solutions for sales teams:
  • Datasets ranged from pharma to B2B.
  • Performed exploratory analysis, sales prediction (ARIMA/Prophet), time series analysis (sampling/normalization).
  • Results and prototypes were presented to VPs and clients.

Data Analytics Consultant

eZLO Innovation

Full Time | 24/09/2018 - 04/04/2019

Ia?i, Romania

  • Automated data ingress, performing EDA for IoT data in the ELK stack (Elasticsearch/Kibana mostly), along with analysis performed within Jupyter notebooks, used Plotly Dash for productionizing. Focused specifically on a breadth-first strategy for fleshing out the data potential from a product perspective.

Full Stack Intern

Yonder

Full Time | 25/04/2016 - 11/08/2016

Ia?i, Romania

Web Developer

Neuro Software

Full Time | 21/09/2015 - 08/10/2015

Ia?i, Romania

Additional Experience & Awards

Details

Full Time | - 09/09/2015

Poland

  • Gold medal Ariel University March 2015 6th Team Internet Mathematical Olympiad Team Challenge, Championship Competition (colloquially called MO Ariel).
  • Recipient of "HPC for Undergraduates Program" of Supercomputing '17 (SC17) in Denver, CO, USA.
  • Graduated the teaching module (including high school practice) during bachelor studies, held various special topics courses at the faculty and was involved in the organization of various conferences held by my faculty.
  • Debater/Debate Instructor (2011 – 2015): debater in the Level Association (Iasi), and debate groups of his high school where he gave lessons on debate strategies/documentation/workflow and helped various high school students in achieving their potential as speakers.

Education

Research Masters in Computer Science

Alexandru Ioan Cuza University

25/04/2018 - 07/04/2020

Bachelor in Computer Science

Alexandru Ioan Cuza University

16/04/2014 - 06/04/2017

Doctor of Philosophy

Alexandru Ioan Cuza University

10/04/2020 - Present

Certifications

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Data Engineering with Google Cloud

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Building Batch Data Pipelines on GCP

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Building Resilient Streaming Analytics Systems GCP

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GCP Big Data & Machine Learning Fundamentals

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Modernizing Data Lakes & Data Warehouses with GCP

Coursera | Issued On : {getDate(e?.issued_date)}

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