Hi, I'm Aleksandar Kiridžić - PHD Graduate Student at University of Belgrade, School of Electrical Engineering
I love diving deep into complex data challenges and crafting elegant software. My energy ignites at the intersection of statistics, ML, and engineering, where I build innovative solutions and push what's possible. I thrive on challenging problems and collaborative innovation.
At a glance
Curated signals on strengths, focus areas, and how they can help.
Led product development at Google, contributing to global projects.
Building AI tools as a Principal Software Engineer at Speedata and pursuing a PhD.
Can help others by sharing expertise in performance tuning and deep learning implementation.
🚀 Career trajectory
Foundational Engineering at Google
Developed core software engineering skills and contributed to global products during internships and full-time roles.
✦ Software Engineering Intern
✦ Software Engineer
Specialized AI/ML Expertise
Gained practical experience in computer vision and specialized AI applications.
✦ Computer Vision Engineer Intern
Advanced Research and Leadership
Pursuing doctoral research while taking on a leadership role in software engineering and sharing knowledge as a guest lecturer.
✦ PhD Student
✦ Guest Lecturer
✦ Principal Software Engineer
💪🏻 Superpowers
Master of Algorithmic Efficiency
Transforming complex data challenges into elegant software solutions.
✦ Deep expertise in algorithms, graph theory, and computational geometry.
✦ Proven ability to optimize performance through statistical analysis and mathematical programming.
✦ Skilled in developing robust software infrastructure and compilers.
Pioneering AI & ML Innovations
Driving advancements in deep learning and reinforcement learning for real-world applications.
✦ Extensive experience in statistical data analysis and deep learning models.
✦ Applying reinforcement learning to solve intricate problems.
✦ Developing and integrating AI solutions within software systems.
Bridging Academia and Industry
Translating cutting-edge research into practical, scalable software engineering.
✦ Currently pursuing a PhD while guest lecturing at a leading university.
✦ Experience as a Software Engineer at Google, contributing to large-scale projects.
✦ Combining academic rigor with industry demands for practical impact.
I'm excited about
✦ Exploring novel applications of statistical modeling and machine learning.
✦ Connecting with peers who are pushing the boundaries of data science and AI.
✦ Discovering opportunities to collaborate on impactful, large-scale software projects.
I can help with
✦ Offering insights into performance optimization and complex algorithm design.
✦ Providing expertise on implementing deep learning and reinforcement learning solutions.
✦ Sharing knowledge on building scalable software infrastructure and R&D strategies.
I would love your help on
✦ Identifying emerging trends and research in applied statistics and AI.
✦ Connecting with thought leaders in specialized areas of computational mathematics.
✦ Finding collaborators for ambitious, multi-disciplinary research initiatives.