Олесь

Oleksandr Pichak

AI/ML Engineer (Python, LLMs, Data Science, Automation)

Presov (Remote) | [відкрити контакти](див. вище в блоці «контактна інформація») |

LinkedIn: [відкрити контакти](див. вище в блоці «контактна інформація»)

Languages: Ukrainian (Native), English (C1)

PROFESSIONAL SUMMARY

Results-driven AI/ML Engineer with 3+ years of hands-on experience building scalable AIpowered
solutions and automation tools. Proven expertise in Python, Large Language Models (LLMs), Data
Science, and Process Automation. Successfully delivered multiple commercialgrade AI chatbots
and trading bots deployed in real-world business environments. Certified by IIBA, Microsoft,
Google Cloud, and Kaggle. Adept at developing and optimizing AI workflows that enhance user
engagement, streamline operations, and drive measurable business outcomes.

WORK EXPERIENCE

AI/ML Developer | DaymeTech (Ukrainian AI Startup)
Remote | Sep 2024 – Present (1 year)

• Built full-stack computer vision application for receipt recognition using Python, OpenCV,
and Google Cloud Vision API

• Developed microservices in FastAPI, containerized with Docker and Kubernetes for
scalable deployment

• Integrated Vertex AI and Document AI to extract line-item data with 92% accuracy

• Automated data pipelines in Google BigQuery, reducing manual processing time by 60%

Operations Manager | BFarm (Agri-Tech)
Remote | Mar 2024 – Aug 2025 (1.5 years)

• Managed end-to-end operations for AI-driven farm management platform, coordinating
cross-functional teams of developers, agronomists, and sales

• Implemented process automation workflows with Airflow and Python, improving data
collection efficiency by 45%

• Oversaw deployment of ML models for crop yield prediction (TensorFlow), increasing
prediction accuracy from 78% to 88%

• Conducted user training sessions and produced technical documentation, reducing
support tickets by 30%
AI/ML Engineer | Freelance Projects (Commercial)

Remote | 2022 – Present

• Crypto Arbitrage Telegram Bot

Developed a high-frequency crypto arbitrage bot integrated with 10+ cryptocurrency exchanges,
automating buy/sell decisions with real-time data scraping and predictive analytics. The bot
consistently generated a 5-8% profit margin for clients. Commercially deployed to several private
investors and trading groups.

• AI Chatbot powered by Llama 2 (7b-chat-hf)

Built and fine-tuned a conversational AI chatbot for customer support and task automation.
Implemented role-based conversational logic, personalized responses, and data retrieval from
custom knowledge bases. Deployed as a SaaS solution for small businesses, increasing customer
query resolution by 40%.

• Math Solver Chatbot with Photo Recognition

Engineered a YOLOv5 + OpenCV-based AI chatbot capable of recognizing handwritten math
equations from images and solving them symbolically with sympy. Commercial version licensed
to educational platforms, reducing student query handling time by 60%.

• Music AI Assistant in Telegram

Created a personalized AI-based music recommendation bot, leveraging user listening behavior
and machine learning to curate playlists. Monetized through subscriptions and promoted in niche
communities, achieving 1000+ paid users within 3 months.

• AI-Powered Automation for Data Analysis & Reporting

Designed and implemented automated data pipelines and dashboards using Python, Pandas, and
Google BigQuery. Reduced manual data processing efforts by 50% for multiple freelance clients in
e-commerce and finance.

And much much more

CERTIFICATIONS

• IIBA ECBA (Entry Certificate in Business Analysis)

Issued: Sep 2024

• Microsoft Professional Certificate in Business Analysis

Issued: Oct 2024

• Google Cloud Generative AI (Vertex AI)
Issued: Dec 2024

• Data Scientist Certification - Alison

Issued: Dec 2024

• SQL for Data Analysis - Kaggle

Issued: Dec 2024

• Prompt Engineering for Developers (Advanced LLMs)

Issued: Jan 2025

• AI Chatbot Development & Automation - Coursera

Issued: Jan 2025

EDUCATION

Bachelor's Degree in Financial Analytics (Currently on leave)

University in Kosice, Presov | Sep 2024 – Present

College of Technology and Business, Ivano-Frankivsk

Specialization: Entrepreneurship, Trade, and Exchange Activities | Sep 2022 – Jun 2024

SKILLS

Programming Languages:

Python (Advanced), JavaScript (Node.js), Java, SQL, Bash

AI/ML Frameworks & Libraries:

TensorFlow, PyTorch, Keras, Scikit-learn, OpenCV, YOLOv5, Transformers (Hugging Face), Llama
2 (7b-chat-hf), Google Vertex AI, LangChain, Stable Diffusion

Cloud & Document AI:

Google Cloud Platform (Vertex AI, Document AI, Vision API, OCR), AWS (S3, Lambda), Azure AI
Data Analysis & Processing:

Pandas, NumPy, SciPy, Matplotlib, Seaborn, Plotly, Google BigQuery, Excel (Advanced
Dashboards & Reporting), Apache Spark (PySpark), Dask

Automation & Bots:

Telegram Bot API, Discord Bot API, Selenium, Scrapy, BeautifulSoup, Trading Automation
Scripts, N8n, Make (Integromat)

Databases:

MySQL, PostgreSQL, SQLite, MongoDB, Redis, Firebase

DevOps & Deployment:

Docker, Kubernetes, Git, CI/CD (GitHub Actions, GitLab CI), FastAPI, Flask, REST API, Nginx,
Microservices Architecture

Soft Skills:

Business Analysis (IIBA ECBA), Process Modeling, Requirements Engineering, Risk Management,
Communication, Problem-Solving, Agile/Scrum

ACHIEVEMENTS

• Delivered multiple commercial AI bots for customer service, education, and finance industries.

• Built and scaled a crypto arbitrage bot adopted by 5+ private trading communities.

• Implemented AI solutions that improved user engagement by up to 40% and optimized
operational efficiency by 60%.

• Participated in international Kaggle competitions, ranking in the top quartile.

• Delivered a go-karting business proposal leading to a successful investment decision.

• Obtained 6 industry certifications within 12 months while building real-world AI solutions.

• • Document Processing AI System with Google Cloud Vision

• Developed an automated document processing pipeline using Google Document AI, Vision API,
and OCR to extract structured data from invoices, contracts, and receipts. Integrated with
Google BigQuery for data storage and analysis. Deployed as a microservice using Docker and
Kubernetes, processing 10,000+ documents per day for clients in finance and e-commerce.
Reduced manual data entry time by 70% and improved accuracy to 95%.