In my role as a tech lead at Vilantis, I have been responsible for overseeing and guiding numerous projects. While the list (not complete) of projects can be found at www.vilantis.ai, here is a brief overview of my involvement:Tech Leadership: I have played a crucial role in leading and managing projects at Vilantis. As a tech lead, I have provided guidance and support to development teams, ensuring efficient project execution, adherence to best practices, and successful project delivery.Coding and Development: In addition to my leadership responsibilities, I have actively contributed to coding and development tasks across various projects. I have utilized technologies such as Django, iOS, Android, Flutter, and worked on infrastructure-related tasks. This hands-on involvement has allowed me to maintain a deep understanding of the technical aspects of the projects and contribute directly to their success.Tech Interviewing: I have been actively involved in leading tech interviews as part of the hiring process at Vilantis. Leveraging my technical expertise and experience, I have contributed to assessing candidates' skills, evaluating their fit for specific roles, and providing valuable input during the selection process.Initial Estimations for Clients: Understanding the importance of aligning project requirements with clients' business needs, I have been involved in providing initial estimations for project timelines, resource allocation, and budgeting. By considering the scope, complexity, and desired outcomes, I aim to provide accurate and realistic estimates that align with clients' expectations and objectives.

Developed an iOS mobile app for hotel booking, leveraging cryptocurrencies as a payment method. Users could seamlessly book hotel accommodations using their preferred digital currencies, providing them with flexible and secure payment options.Led the development of a React Native mobile app for an office room booking system. This app facilitated efficient and convenient booking of office rooms, offering features such as real-time availability, room customization options, and seamless integration with calendar systems.Worked on an iOS mobile app focused on mental health support. The app provided a platform for users to engage in chats with psychologists, access a forum for peer support, and stay updated with relevant mental health news. This project aimed to provide users with accessible resources and a supportive community for their mental well-being.Worked on an iOS mobile app focused on mental health support. The app provided a platform for users to engage in chats with psychologists, access a forum for peer support, and stay updated with relevant mental health news. This project aimed to provide users with accessible resources and a supportive community for their mental well-being.

Motion Data Collection and Algorithm Development: Developed an algorithm that utilized GPS data, accounting for GPS data drifts, to determine whether the user was traveling or staying in the same location. This algorithm efficiently analyzed the sensor data, enabling accurate detection of user motion patterns.Backend Data Inspection and Machine Learning Integration: Played a role in the backend side of the application, where I inspected the uploaded data and feeding it to generate new models. This involved processing and analyzing the collected motion data, extracting valuable insights, and integrating those insights into the machine learning pipeline.Web Dashboard Design: Designed a web dashboard that presented users' travel routes and multiple graphical representations of their motion data. The dashboard provided an intuitive and informative interface for users to visualize and explore their travel patterns.Motion Data Collection and Parsing: Leveraged iOS SDK to collect user motion data, upload it to the server, and efficiently parse the response. This process involved seamlessly integrating the SDK into the application, ensuring smooth data transmission and retrieval.Integration of Machine Learning Models: Integrated machine learning models into the application using the tiny-dnn library. This allowed for real-time or offline prediction based on the collected motion data, enabling personalized and context-aware features within the app.

"Illuminati Meter" iOS App: Developed an iOS application that utilizes Bluetooth technology to control a hardware device. This app provided users with a seamless and intuitive interface to interact with the connected hardware and access its features and functionalities.IDVector VPN Apps: Created iOS and Android applications for a VPN service called IDVector. These apps enabled users to securely browse the internet, protecting their privacy and ensuring encrypted connections for enhanced online security.EmergentVR Android App: Contributed to the development of a virtual reality Android application called EmergentVR. This app offered users immersive virtual reality experiences, pushing the boundaries of interactive and engaging content."SurfTrackr" iOS and WatchOS App: Designed and developed an iOS and WatchOS application called SurfTrackr. This app utilized machine learning models to count waves for surfers, providing accurate tracking and analysis to enhance their surfing experience."Snoo" Smart Baby Basinet App: Collaborated on an iOS application and backend system for controlling a smart baby basinet called Snoo. This app allowed parents to remotely monitor and adjust various features of the basinet, ensuring the comfort and safety of their baby.

Leveraged my expertise in video recording and editing to integrate seamless video capabilities within the app, allowing users to showcase their clothing items effectively.Optimized the scroll performance for highly complex item lists, ensuring smooth and responsive scrolling even when dealing with a large number of items.Developed a streamlined flow for users to contact support, resulting in reduced support costs by providing a more efficient and user-friendly method for addressing queries and concerns.Created custom transition animations to enhance the visual appeal and user experience, providing engaging interactions within the app.Implemented intricate and visually appealing user interfaces based on design specifications, ensuring a consistent and intuitive user experience throughout the app.

Leading the development efforts in Lithuania for PingIt, ensuring that the app met the highest standards of functionality, security, and user experience.Maintaining and providing support for a secure network communications library, ensuring the integrity and confidentiality of sensitive payment data during transmission.Collaborating closely with designers to implement a visually appealing and intuitive user interface, enhancing the overall usability and engagement of the app.Proactively addressing security concerns by diligently improving the codebase after conducting thorough penetration testing, ensuring the app's resistance to potential vulnerabilities.

Developing iOS and Mac OS applications for personal finance app called "Money".Successfully developing and optimizing the iPad version of the "Money" app, ensuring a seamless user experience across devices.Making significant contributions to a robust and complex framework that handles critical business logic, enhancing the overall functionality and performance of the app.Utilizing CoreData in a multithreaded environment to efficiently manage and organize financial data, ensuring data integrity and reliability.Implementing support for multiple currencies and conversions within the app, allowing users to seamlessly manage their finances regardless of their preferred currency.Enabling iCloud sync functionality for CoreData, allowing users to effortlessly synchronize their financial data across multiple devices, ensuring accessibility and continuity.