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Tomislav – Flutter, Dart, JavaScript, experts in Lemon.io

Tomislav

From Croatia (UTC+2)

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Mobile DeveloperSenior
Tech lead
Front-end Web DeveloperSenior
13 years of commercial experience
Agritech
Biotech
Fashion
Legal tech
Marketing
Medtech
Retail
AI software
Communication tools
Mobile apps
Lemon.io stats
2
projects done
2378
hours worked

Tomislav – Flutter, Dart, JavaScript

Tomislav is a skilled Front-end & Mobile developer with over 12 years of experience in software engineering. Having served as a team lead, he has worked with different stages of the development cycle for dynamic mobile and web projects. Tomislav constantly strives to learn new technologies, such as Next.js, Supabase, Elixir, and Flutter, and he is looking for ways to better himself in this rapidly changing industry. A cherry on top is his team-oriented attitude, along with excellent communication and organizational skills.

Main technologies
Flutter
3.5 years
Dart
3.5 years
JavaScript
8 years
Next.js
3 years
React
6 years
Typescript
3 years
Additional skills
Python
Tensorflow
PostgreSQL
Firebase
Vue.js
C#
Node.js
Angular
Elixir
REST API
GCP
LangChain
OpenAI
MySQL
Docker
Kubernetes
OpenAI API
AWS
Tailwind CSS
Swift
Kotlin
Rewards and achievements
Swift communicator
Direct hire
Potentially possible
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Experience Highlights

Tech Lead
Sep 2023 - Ongoing1 year 8 months
Project Overview

The startup operates at the intersection of medicine, artificial intelligence (AI), and Health Economics and Outcomes Research (HEOR), leveraging proprietary technologies to expedite clinical research. Through the development of Artificial Clinical Intelligence (ACI), the company aims to enhance and extend human healthspan. Notably, the startup achieves significant efficiency gains by substantially reducing timelines in HEOR and Market Access research, delivering expert-validated, regulatory-compliant results at a rate that is 100 times faster than traditional approaches. This innovative approach seeks to revolutionize the pace and impact of clinical research in the healthcare industry.

Responsibilities:
  • Created a complete backend solution;
  • Picked tools and frameworks;
  • Worked with Open AI API and Langchain;
  • Worked with RAG and vector databases;
  • Leading and directing a team of developers.
Project Tech stack:
Next.js
Python
FastAPI
LLM
OpenAI
LangChain
Supabase
Weaviate
Tailwind CSS
Tech Lead
May 2023 - Dec 20237 months
Project Overview

The product was created to automatize client intake in law firms with the help of AI. The idea of the product is to reduce costs, boost productivity and increase client onboarding capacity in law firms. Clients are also able to upload their documents and chat with them.

Responsibilities:
  • Created front-end and back-end architecture;
  • Coded both front-end and back-end;
  • Worked with Open AI API and Langchain;
  • Worked with RAG and vector databases;
  • Did all the deployment and devops work.
Project Tech stack:
Next.js
LangChain
Typescript
PostgreSQL
Vercel
OpenAI
Python
FastAPI
LLM
Supabase
Tailwind CSS
Full-Stack Developer
Mar 2022 - Oct 20227 months
Project Overview

Helping multi billion euro company to move their internal applications from outdated AngularJS framework to a modern framework.

Responsibilities:

Tomislav was part of the team with the goal of migrating outdated AngularJS applications to modern frameworks such as React and Next.js

Project Tech stack:
React
Next.js
Tailwind CSS
Tech Lead
Nov 2020 - Nov 20211 year
Project Overview

A mobile application issued to warehouse workers with the intent to simplify the following: task distribution, navigation through the warehouse, communication between workers speaking different languages, and filling out forms. All of the mentioned was done through voice-activated commands so workers could use their hands all the time. Workers were also issued headset which communicated with the app installed on their mobile device, which was attached to their waist.

Responsibilities:
  • Created custom Speech-To-Text solution from zero using Tensorflow;
  • Developed mobile service app to handle communication with headset and speech recognition process;
  • Designed front-end for the application in Flutter;
  • Created Javascript application for human sampling speech;
  • Collected voice dataset containing more than 100,000 samples;
  • Made most of the architectural and design decisions;
  • Used Riverpod and Freezed libraries in Flutter;
  • Integrated low-level code VAD (Voice Activity Detector) in JNI and C++.
Project Tech stack:
PostgreSQL
Flutter
Android
Tensorflow
Python
JavaScript
Keras
Full-Stack Developer
Dec 2019 - Dec 20201 year
Project Overview

Custom mobile webshop for women's fashion with advanced filtering and attractive UI. Built for a local startup, the idea was to create a platform where small producers and sellers could sell their products with minimal hassle through the intuitive UI of the app.

Responsibilities:
  • Developed front-end in Flutter as part of a team;
  • Used Provider (later switched to Riverpod) for state management;
  • Developed back-end in .NET Core;
  • Wrote geo and full-text search queries in SQL;
  • Used Firebase for cloud messaging;
  • Integrated services like Google Maps;
  • Used libraries like Freezed for code generation;
  • Took part in the design and architectural decisions;
  • Created CI/CD pipeline for deployment to Google Cloud Platform.
Project Tech stack:
Flutter
PostgreSQL
Firebase
.NET Core
Senior Full-Stack Developer
Nov 2017 - Nov 20192 years
Project Overview

The project's core was to ingest as much available demographic, cultural, and social media data to create a beautiful visualization of people's purchasing habits. The heart of the solution was a machine learning model which could make correlations between data that the human eye could miss. The app can identify geographical areas of interest where your product could sell more.

Responsibilities:
  • Decided on tools, front-end, and back-end technologies to be used in the project;
  • Created complete front-end UI with all the capabilities using Vue.js;
  • Worked on the part of the back-end in .NET Core;
  • Used map tools and libraries like Mapbox, DeckGL, and Uber's H3;
  • Created data visualizations using the D3 library;
  • Onboarded and tutored new front-end developers;
  • Used ElasticSearch to retrieve geographical data;
  • Managed payment process using Stripe API.
Project Tech stack:
.NET Core
Vue.js
PostgreSQL
ElasticSearch
Full-Stack Developer
Nov 2012 - May 20174 years 6 months
Project Overview

The idea of the project was to visualize data coming from weather stations and create models for fungal and bacterial disease prediction in agriculture. Models for predictions were developed from various research papers available at the time, and the final product was distributed as a desktop, mobile, and web app to the clients.

Responsibilities:
  • Created mathematical plant disease models by scraping various research papers;
  • Implemented plant disease models in C#;
  • Created desktop and mobile apps for visualization of weather station data and plant diseases;
  • Implemented custom communication protocol between server and weather stations;
  • Closely cooperated with agricultural engineers and translated their knowledge into software;
  • Maintained code and added new features over the span of over three years.
Project Tech stack:
.NET Core
Angular
Node.js
C#
IoT
MySQL

Education

2014
Software engineering
Master's degree

Languages

English
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