Intro
Hey! I'm Akram, a Software Engineering student based in Klaipeda, Lithuania. I love building things that solve real problems - whether it's through academic projects, personal experiments, or hackathons. I'm passionate about using technology to tackle real challenges and have experience in designing, building, testing, developing, and maintaining software.
You'll often find me at tech events and meetups, always eager to learn from others and collaborate on new ideas. I thrive on taking initiative and turning challenges into working solutions.
Featured Projects
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Experience
Full-stack Developer
- Developed and maintained end-to-end web module solutions covering back-end business logic, REST API development, and front-end integration.
- Designed and implemented high-performance web scraping and data extraction solutions using Python, Playwright, Selenium and other browser automation tools, ensuring stable operation and compliance with anti-bot restrictions.
- Implemented AI-driven modules (text analysis, recommendations, automation flows) using Python and Node.js AI libraries.
- Created CI/CD processes and automated deployment pipelines that ensured reliable and repeatable software releases across multiple projects.
Full-stack Developer
Created an AI-based trend prediction tool using Next.js and React that analyzes keyword search volumes to help content creators and marketers identify emerging trends. The tool:
- Automated trend discovery and analysis, reducing manual research time by providing instant keyword insights across multiple data sources
- Delivered real-time demographic and geographic breakdowns through interactive visualizations
- Generated AI-powered topic summaries and related queries using Claude API, Tavily Deep Research, and Google NLP streamlining content ideation and strategy planning workflows
- Implemented Redis caching and secure JWT-based authentication to improve data retrieval speed, reduce API costs, and ensure secure user session management
Full-stack Developer
Created a scalable calendar management and booking system for Klaipeda City Municipality that automated appointment scheduling across multiple departments. The system:
- Reduced administrative overhead by automating time slot generation based on configurable working hours and special days
- Streamlined the booking process with an interactive calendar interface and automatic email notifications
- Enabled multi-calendar management, allowing different departments to maintain independent schedules within one platform
AI / ML Engineer | ERASMUS+ Programme
Collaborated in an international team to develop a Python-based application that automates technical diagram (PFD & P&ID) analysis using machine learning. The system:
- Automated symbol recognition and fluid flow tracking using YOLO, CV2, and EasyOCR, reducing manual diagram analysis time for engineering teams
- Integrated Google Cloud Vertex AI for context-aware document processing, improving diagram interpretation accuracy and system scalability
- Generated plain-text explanations from complex technical diagrams, making engineering documentation accessible to non-technical stakeholders
Certificates
Scrum Fundamentals Certified (SFC)
Kanban Awareness Certification
SDGs Tackler Toolkit - Project Participation Certificate
Participated in an Erasmus+ Small-scale-partnership programme - SDGs (Sustainable Development Goals) Tackler Toolkit. Designed and publicly presented a solution to the "Decent work and economic growth" goal.
Education
Bachelor of Computer Science
Developed a strong foundation in software engineering through hands-on project work and research. Gained experience across the full development lifecycle - from design and implementation to testing and deployment. Created Meteo Wear and LRN.AI as part of many coursework projects. Wrote multiple publications.
Publications
BUSINESS, TECHNOLOGY, BIOMEDICINE: INNOVATION INSIGHTS 2025 · Klaipeda State College · 2025
A comparative analysis of software development methodologies, examining their practical applications, trade-offs, and suitability across different project contexts.
BUSINESS, TECHNOLOGY, BIOMEDICINE: INNOVATION INSIGHTS 2026 · Klaipeda State College · 2026
An analysis of AI methods applied to keyword trend analysis, comparing existing market tools and presenting a purpose-built solution that integrates nine data sources and three AI APIs to address the identified gaps.
Participations
Portaton 2025
Klaipėdos mokslo ir technologijų parkas
Tackled Challenge #2 — Transportation Unit Detection and Identification. Built a solution to automatically detect and classify transport units moving through port areas using computer vision.
Portaton 2023
Klaipėdos mokslo ir technologijų parkas
Tackled Challenge #6 — Online Environmental Monitoring of Water in Port Areas. Designed a real-time monitoring system to track water quality indicators across port zones.