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Know Me

My name is Simonida Jekic. I am building expertise at the intersection of AI, pharma and venture. With extensive knowledge on AI, work experience in pharmaceutical and medical device industry I am aiming at pivoting to venture capital.

AI +
HEALTH +
ENTREPRENEURSHIP

Relevant Experience

From holding lectures about the connection between Biological and Artificial Neural Networks to building chatbots and recommendation systems for

Lecturer - SPREMMA (2022)

Board member and lecturer for a series of workshops and lectures on the topic of the 4th Industrial Revolution for high schoolers held in Microsoft's Development Center.

Software Developer - IE's Robotics & AI Club (Dec 2024 - May 2025)

Built an AI chatbot trained on cancer related data

Project Manager - Frontier Diagnostics (Feb 2025 - Jul 2025)

Coordinating and managing Frontier Diagnostics projects with a primary focus on their branding, web and app development. Also took part in web development.

Data Science Intern - Vega IT (Jun 2025 - Jul 2025)

Worked on a healthtech project with pharmacy drug data, performed EDA and built a recommendation system and RAG chatbot.

Project Intern - Verlab Insitute

Performed data analysis and cleaning on a protein bank dataset used for drug interaction simulations for one of the leading Bosnian pharma companies and did EDA, built AI models and a user interface for medical device management.

FoodCycle
A Digital Health Start-Up

FoodCycle is an app that combines cycle tracking, nutrition and informative articles. I created it in IE's Start-Up Lab, received 10/10 and pitched to angel investors. The app is currently in development and is expected to be launched on App Stores in 2025.

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Course Certificates

Fundamentals of Machine Learning for Healthcare - Stanford University

In this course I familiarized myself with ML concepts like Neural Networks, Logistic Regression and Classification and their applications in Healthcare.

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AI in Healthcare Capstone Project - Stanford University

Through a series of case studies on Covid-19 patients I increased my knowledge on how to reach generalization and make more accurate prediction models.

Machine Learning Fundamentals for Healthcare - LinkedIn Learning

In this course I had a chance to get hands-on and program three classification, regression and clustering models after a series of theory lectures.

Hands-on Data Science and AI for Healthcare - LinkedIn Learning

I familiarized myself with ML algorithms like CNNs, computer vision and sentiment analysis through common examples from the healthcare and pharma industry.

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Introduction to the Biology of Cancer - John Hopkins University

I learned about metastasis and familiarized myself with cancer-related terminology.

When I'm not coding or brainstorming I write articles about AI, robotics and healthtech on my Medium blog:

VitalWave

A healthtech and sportstech start-up idea related to myocardial health pitched for the advanced seminar "Accelerating Health and Sportstech Ventures in Europe" for which I received a 10/10.