Aleksa Janjić
Machine Learning Developer
If you're seeking a prominent Machine Learning Engineer with a strong educational background, check out Aleksa. So far, Aleksa has tackled challenging ML, NLP, and AI projects across various niches and is ready for new challenges. Are you ready to enhance your machine learning team?
Avaya
AI-powered solutionsSeptember 2024 - Present
Avaya provides AI-powered solutions to enhance customer experience, improve employee engagement, and drive business growth through innovative communication and collaboration platforms.
Developing, fine-tuning, and deploying LLMs, optimizing performance, and integrating advanced NLP solutions into various scalable customer applications.
Main tech stack:
Python, TensorFlow, PyTorch, NLP frameworks
Syrmia by AMD
AI solutionsApril 2023 - September 2024
SYRMIA, an HTEC company, specializes in embedded development software for automotive and consumer markets, offering innovative solutions, consultancy, and support to clients ranging from startups to major Silicon Valley companies.
Participated in the development of a software platform, resulting in an effective performance increase for various Stable Diffusion and Whisper models.
Contributed to the development of AI solutions for real-world applications, refining skills in data preprocessing, model training, and evaluation. Participated in team meetings and code reviews, demonstrating effective communication and teamwork skills.
Main tech stack:
Python, Deep Learning frameworks, Pandas, Scikit-learn, ML pipelines
SignAvatar
AI-powered solutionsSeptember 2022 - April 2023
SignAvatar uses AI to convert audible announcements into visual sign language, making information accessible to deaf individuals in their native language at airports and public places.
Fine-tuned an LLM model to translate text into sign language based on HamNoSys notation, increasing the efficiency of the model, and analyzed numerous ML research papers.
Main tech stack:
Python, NLP libraries, Research papers analysis tools
Master’s degree, Signals and Systems department
Faculty of Electrical Engineering, University of Belgrade
September 2023 - September 2024
Bachelor’s degree, Signals and Systems department
Faculty of Electrical Engineering, University of Belgrade
September 2019 – September 2023
Serbian
English
Projects
Development of advanced concepts in machine learning and deep learning for image classifi-
cation, letter recognition, clustering of speech signals, COVID-19 disease prediction, analysis
and approximation of stock prices, as well as familiarity with and application of object-oriented
programming concepts, as well as algorithms and data structures.
Python:
Decision-Making in Medicine – COVID-19 presence
Machine Learning – Linear Regression, Logistic Regression, Na ̈ıve Bayes
Machine Learning – Support Vector Machine
Machine Learning – Decision tree, Random Forest, Gradient Boosting
Neural Networks – Coffee bean classification using CNNs
Neural Networks - Stock market analysis and predictions utilizing LSTM, BiLSTM and
GRU models of RNNs
MATLAB:
Stochastic Systems and Estimation – Kalman filter
Pattern Recognition – Letter Recognition
Voice Processing and Recognition – Speech-based digit recognition
C++:
Object Oriented Programming – Subtitle editor
Object Oriented Programming – Implementation of File System
Object Oriented Programming – Public Transportation Network
Achievements
Awarded for outstanding academic performance during bachelor’s studies.
Recognized for contributions as a student-mentor at the Faculty of Electrical Engineering.
Participated in several hackathons and coding competitions, achieving notable results.
Recipient of numerous state championships in both individual and team competitions
in mathematics and physics throughout academy journey from elementary through high
school
Amateur drama
Basketball