freiberufler Software Engineer auf freelance.de

Software Engineer

offline
  • 47€/Stunde
  • 488551 Yerevan
  • Europa
  • hy  |  en  |  de
  • 23.07.2023

Kurzvorstellung

The most amazing...
...project I’ve built is a legal case classification model, a system that classifies case descriptions and highlights crucial text elements.

Auszug Referenzen (2)

"He is really talented specialized software engineer."
SannSyn
Melvin Lang
Tätigkeitszeitraum

2/2020 – 11/2021

Tätigkeitsbeschreibung

Developed a system that classifies legal cases from raw text input by an industry expert. The data given was raw scraped and OCR'd pdf from online sources.
Performed data analysis of unstructured data to understand what could be done with the data and the needed processes to improve the quality.
Built a web scraper to scrape financial news.
Provided a sentiment analysis feature for financial news articles using transformer-based models.

Eingesetzte Qualifikationen

Data Science

"Very good work"
Tedmob
Petr
Tätigkeitszeitraum

1/2019 – 7/2019

Tätigkeitsbeschreibung

Developed a customer-facing chatbot using RASA AI, Dialogflow, and Microsoft bot framework for a leading telecom operator for handling FAQ and account-related questions with OTP authentication and third-party integrations.
Tracked issues in real-time using various tools like Sentry, ELK stack, and Docker monitoring tools.
Handled meeting with the client and gathered various team requirements for the best launch process.
Technologies: PyTorch, Machine Learning, Chatbots, Recommendation Systems, TensorFlow, PySpark, NumPy, Jupyter Notebook, Pandas, Computer Vision, Python, Artificial Intelligence (AI), Data Science, Image Processing, Advisory, Deep Neural Networks, Matplotlib, Algorithms, OpenCV, Computer Vision Algorithms, Consulting, Technology Consulting, SQL, Statistics, Python 3, Datasets, Fine-tuning, Scikit-learn, Programming, Amazon Web Services (AWS), Speech Recognition, Web Development, NoSQL, Bash, Docker, API Integration

Eingesetzte Qualifikationen

Maschinelles Lernen

Qualifikationen

  • Backend
  • C++
  • CUDA
  • Data Science1 J.
  • Desktop-Publishing
  • Embedded Entwicklung / hardwarenahe Entwicklung
  • Git
  • Maschinelles Lernen3 J.
  • Natural Language Processing
  • Python

Projekt‐ & Berufserfahrung

Animaj
Animaj, Animaj
12/2021 – offen (3 Jahre)
IT & Entwicklung
Tätigkeitszeitraum

12/2021 – offen

Tätigkeitsbeschreibung

Cultivated a concept extraction from text, audio, and video content to understand social media trends better. Concepts include emotions, activities, and sentiments on what's going on in the video.
Developed a set of Apache Airflow Directed Acyclic Graphs (DAGs) to orchestrate data and machine learning (ML) pipelines.
Created a monitoring system to have a bird's-eye view of the whole system.
Finetuned LLMS (gptj, gpt-neox, llama) on new datasets using memory and time-efficient techniques like LoRA, DeepSpeed ZeRO, and PyTorch's FSDP.
Generated 2D/3D images and videos using Stable Diffusion and other generative AI models finetuned on a custom dataset.
Experienced (research and industry) on quantized models for more efficient training and inference.
Deployed LLMs on decentralized networks with gRPC servers and mesh networks.
Technologies: PyTorch, Data Lakes, Data Warehousing, Trend Forecasting, Topic Modeling, Revenue Projections, Video Analysis, Speech Synthesis, Sound, Text Animation, Diffusion Models

Eingesetzte Qualifikationen

Maschinelles Lernen

SannSyn
Data Scientist, Yerevan
2/2020 – 11/2021 (1 Jahr, 10 Monate)
Bauwirtschaft, Anlagen- und Schiffbau
Tätigkeitszeitraum

2/2020 – 11/2021

Tätigkeitsbeschreibung

Developed a system that classifies legal cases from raw text input by an industry expert. The data given was raw scraped and OCR'd pdf from online sources.
Performed data analysis of unstructured data to understand what could be done with the data and the needed processes to improve the quality.
Built a web scraper to scrape financial news.
Provided a sentiment analysis feature for financial news articles using transformer-based models.

Eingesetzte Qualifikationen

Data Science

Tedmob
Tedmob, Tedmob
1/2019 – 7/2019 (7 Monate)
IT & Entwicklung
Tätigkeitszeitraum

1/2019 – 7/2019

Tätigkeitsbeschreibung

Developed a customer-facing chatbot using RASA AI, Dialogflow, and Microsoft bot framework for a leading telecom operator for handling FAQ and account-related questions with OTP authentication and third-party integrations.
Tracked issues in real-time using various tools like Sentry, ELK stack, and Docker monitoring tools.
Handled meeting with the client and gathered various team requirements for the best launch process.
Technologies: PyTorch, Machine Learning, Chatbots, Recommendation Systems, TensorFlow, PySpark, NumPy, Jupyter Notebook, Pandas, Computer Vision, Python, Artificial Intelligence (AI), Data Science, Image Processing, Advisory, Deep Neural Networks, Matplotlib, Algorithms, OpenCV, Computer Vision Algorithms, Consulting, Technology Consulting, SQL, Statistics, Python 3, Datasets, Fine-tuning, Scikit-learn, Programming, Amazon Web Services (AWS), Speech Recognition, Web Development, NoSQL, Bash, Docker, API Integration

Eingesetzte Qualifikationen

Maschinelles Lernen

Ausbildung

Stanford University
Machine Learning
Coursera
2018
United States

Über mich

The most amazing...
...project I’ve built is a legal case classification model, a system that classifies case descriptions and highlights crucial text elements.

Weitere Kenntnisse

Preferred Environment
PyTorch, PySpark, NumPy, Jupyter Notebook, Pandas, Amazon Web Services (AWS), Natural Language Processing (NLP), GPT, Generative Pre-trained Transformers (GPT), Computer Vision, Python, Artificial Intelligence (AI)

Persönliche Daten

Sprache
  • Armenisch (Muttersprache)
  • Englisch (Fließend)
  • Deutsch (Gut)
Reisebereitschaft
Europa
Arbeitserlaubnis
  • Europäische Union
Profilaufrufe
273
Alter
34
Berufserfahrung
4 Jahre und 11 Monate (seit 12/2019)
Projektleitung
2 Jahre

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