Experience

Episode 1 Ventures

• United Kingdom
• Venture Capital and Private Equity Principals
• 1 - 100 Employee

• Software Engineering Consultant

  • Apr 2023 - Present

  Pre-seed predictive engine | Flask, React, sklearn, XGBoost, Redis, SQL, AWS • Worked closely with principal to design, develop, and deploy a machine learning model for pre-seed investment evaluations • Focused on behavioural analytics, using data-driven methodologies to asses founder personality traits predicitve of success. Pitch deck model | Flask, React, NLTK, Tesseract, Redis, Celery, AWS • Designed, productionized, and launched a robust Full Stack web application focused on parsing PDF and grading pitch deck • Integrated Google OAuth for secure logins and Affinity for improved networking • Created an AWS deployment infrastructure, ensuring system reliability, scalability, and optimal performance Show less



KOLgroups

• United States
• Market Research
• 1 - 100 Employee

• Software Engineer

  • Jan 2023 - Present

  • Developed and maintained Java Spring Boot backend with SQL databases for clients in the medical market research industry, specializing in physician recruitment and conducting quantitative research surveys • Handled DevOps responsibilities by leveraging AWS services like EC2, S3, CloudFront, and Elastic Beanstalk, enhancing application deployment, monitoring, and management efficiency • Implemented integration of APIs, including Qualtrics, SendGrid, and Lob, while architecting CI/CD pipelines for continuous integration and Deployment Show less



Institute Mihajlo Pupin

• Serbia
• IT Services and IT Consulting
• 1 - 100 Employee

• Software Engineer Intern

  • Jun 2022 - Oct 2022

  • Intern in the machine learning department, developing a platform for the validation and visualization of predictive analytics for the needs of electric power transmission system operators • Developed a web application utilizing Linear Regression through a Full Stack environment, leveraging frameworks such as Flask, TensorFlow, Bokeh, and SQLAlchemy. • Executed a visual display of this model through a self-initiated JupyterHub server, amplifying data-driven insights and analytics • Intern in the machine learning department, developing a platform for the validation and visualization of predictive analytics for the needs of electric power transmission system operators • Developed a web application utilizing Linear Regression through a Full Stack environment, leveraging frameworks such as Flask, TensorFlow, Bokeh, and SQLAlchemy. • Executed a visual display of this model through a self-initiated JupyterHub server, amplifying data-driven insights and analytics



Kop Sport

• Belgrade, Serbia

• Full Stack Developer Intern

  • Jan 2022 - Mar 2022

  • Engineered a strategic solution for a recurring problem with clients forgetting classes after booking, which limited our billing opportunities, by introducing a new feature in our existing QT application • Leveraged SQLite database to trigger notifications system to clients, leading to a significant improvement in user experience and a 20% increase in successful class bookings among 7,000 monthly users. • Engineered a strategic solution for a recurring problem with clients forgetting classes after booking, which limited our billing opportunities, by introducing a new feature in our existing QT application • Leveraged SQLite database to trigger notifications system to clients, leading to a significant improvement in user experience and a 20% increase in successful class bookings among 7,000 monthly users.