Software Engineer
- Verfügbarkeit einsehen
- 2 Referenzen
- 47€/Stunde
- 488551 Yerevan
- Europa
- hy | en | de
- 23.07.2023
Kurzvorstellung
...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."
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.
Data Science
"Very good work"
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
Maschinelles Lernen
Qualifikationen
Projekt‐ & Berufserfahrung
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
Maschinelles Lernen
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.
Data Science
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
Maschinelles Lernen
Ausbildung
Coursera
United States
Über mich
...project I’ve built is a legal case classification model, a system that classifies case descriptions and highlights crucial text elements.
Weitere Kenntnisse
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
- Armenisch (Muttersprache)
- Englisch (Fließend)
- Deutsch (Gut)
- Europäische Union
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