Станіслав

Stanislav Serkiz
E-mail: [open contact info](look above in the "contact info" section)

LinkedIn

Mob: [open contact info](look above in the "contact info" section)

Current location: Ternopil, Ukraine

Summary:
Python Developer with 3 years of experience in AI/ML, focusing on Computer Vision
for the past 1.5 years. Proven experience in developing LLM-based solutions,
including building LangChain agents, implementing Function Calling, and setting up
RAG systems with ChromaDB for prototyping and automation tasks.

Possesses a robust background in Python and essential ML libraries, complemented
by practical experience in developing scalable web automation frameworks using
Selenium. Holds a solid grasp of the full ML lifecycle, including dataset preparation,
evaluation metrics, and model optimization.

A highly motivated professional adept at delivering production-ready solutions,
documenting processes, and mentoring newcomers. Strong team player committed
to contributing to a positive, knowledge-sharing engineering culture.

Education:
2017-2021 Computer Science | Ternopil Ivan Puluj National Technical University

2021-2022 System Analysis | Ternopil Ivan Puluj National Technical University

2023-2024 Physics | Ternopil National Pedagogical University

Extra-courses:
Data Science Camp 2023 from Amazinum Company
Experience:
2023 - 2024: Data Science Engineer | “Lead Matrix”

● Developed autonomous AI agents based on OpenAI models, implementing
Function Calling to enable real-time interaction with product databases and
RESTful APIs.
● Designed and deployed RAG systems (Retrieval-Augmented Generation)
using ChromaDB to provide LLMs with specific context for automated
customer interactions.
● Fine-tuned OpenAI models for specialized content generation, ensuring
consistent tone and style for automated social media post creation.
● Engineered scalable web automation and scraping workflows using Selenium,
BeautifulSoup4, and Requests to collect and process large-scale datasets.

2024 - Present: AI/Computer Vision Engineer | “2UxV”
● Developed and optimized real-time object detection, classification, and
tracking algorithms.
● Engineered obstacle avoidance and navigation modules, improving
movement accuracy in complex environments.
● Implemented low-latency image processing pipelines using OpenCV and
PyTorch, optimized for ARM-based hardware architectures, NVIDIA Jetson,
and Hailo platforms.
● Integrated communication protocols and flight controllers using MAVLink and
Ardupilot.
● Developed robotic software components within the ROS2 framework to
ensure modularity and scalability of autonomous features.

2025 - Present: Data Automation Engineer | Independent Contractor (Upwork)
● Developed scalable and high-performance scrapers using Scrapy,
BeautifulSoup, and Requests to extract data from complex, dynamic websites.
● Engineered robust web automation frameworks with Playwright and Selenium,
implementing sophisticated techniques to bypass anti-bot systems
(CAPTCHA, IP rotation, fingerprinting).
● Data Engineering: Processed and structured large datasets using Pandas and
NumPy, delivering clean data in JSON, CSV, or SQL formats according to
client needs.

Professional skills:

● Programming Languages:
○ Python, C++, bash.
● AI & Computer Vision:
 ○ Object Detection, object classification, object tracking, OpenCV, YOLO,
TensorFlow, Keras, PyTorch, scikit-learn, TensorRT, ONNX.
● Generative AI & LLMs:
○ Prompt engineering, LLM fine-tuning, retrieval-augmented generation
(RAG), NLP, context optimization, and evaluation of LLM outputs,
OpenAI API integration.
● Robotics & Autonomous Systems:
○ Autonomous Navigation, Obstacle Avoidance.
○ ROS, ROS2, ArduPilot, MAVLink, DroneKit.
● Data Science & Processing:
○ Pandas, NumPy, Matplotlib.
○ JSON/XML, SQL, and CSV.
● Automation & Scraping:
○ Selenium, Playwright, BeautifulSoup, Scrapy, Requests.
○ Web Automation, Data Extraction, Anti-Bot bypass.
● Bot Development:
○ Aiogram, Integration with external APIs.
● Tools & DevOps:
○ Git, Docker, Linux (Bash), CI/CD.
● Additional skills:
○ C++ (understanding code, developing pipeline with Python), embedded
skills (interfacing SOCs with GPSs, IMUs, cameras, and encoders)

Language skills:
● Ukrainian (native speaker).
● English Intermediate B1 (B2 in progress, taking courses).