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AI Engineer with less than a year in Computer Vision & NLP
Fresh graduate in Computer Science from the University of Jember, specializing in Artificial Intelligence (AI), particularly Computer Vision and Natural Language Processing (NLP). Experienced in building innovative data-driven solutions, including developing deep learning models using TensorFlow and PyTorch, data analysis with Python, and API deployment using Flask, FastAPI, and Docker. Solution-oriented, demonstrated through involvement in projects such as a multi-modal public speaking coach application and an agricultural disease detection system. Ready to contribute to a dynamic team to develop practical AI products and solve real-world challenges in the industry.
University Jember
Bachelor of Informatics · Computer Science
August 1, 2022 – June 30, 2026
Laboratory Artificial Intelligence
Teaching Assistant
September 1, 2025 – December 1, 2025
India
Sosial Ekonomi Akselerator Lab (SEAL)
Data Scientist Intern
February 1, 2025 – June 1, 2025
India
AI Assistant Chatbot for Pharmacy POS
April 1, 2026 – Present
Engineered a Hybrid Retrieval-Augmented Generation (RAG) chatbot using LangChain, FAISS, and a local LLM (Ollama) to provide accurate medication recommendations based on a vectorized pharmaceutical dictionary. Developed a FastAPI microservice leveraging Sentence-BERT for semantic search of patient symptoms, orchestrated with real-time API calls to a Laravel backend to filter recommendations based on active inventory.
AI Public Speaking Coach Application
November 1, 2025 – Present
Developed a multi-modal AI system that analyzes public speaking performance through video, audio, and text, using MediaPipe for facial/body landmark detection, YOLO for expression recognition, and BERT for speech structure classification. Built an audio analysis module using Wav2Vec2 for phoneme clarity, Silero VAD for tempo analysis, and keyword detection with semantic similarity to assess articulation, filler words, and topic relevance. Deployed machine learning models via FastAPI, containerized with Docker, and hosted on Hugging Face Spaces
TomKits (Bangkit Academy 2022 project)
September 1, 2024 – December 1, 2024
Developed TomKits, a leaf tomato disease detection, tomato classification and quality assessment app, using CNN (EfficientNet) with 98% accuracy, built within a cross-functional Agile team. Earned TensorFlow Developer Professional Certificate and Graduate Distinction after 400+ hours of intensive machine learning training. Enhanced technical and professional skills in Python, data analytics, model deployment, and collaborative project management
Creating a Chicken Manure Scan Application to Detect Disease
May 1, 2024 – Present
Developed a Convolutional Neural Network (CNN) model with pretrained model EfficientNetB3 with accuracy 98% Designed and created a REST API using Flask and Laravel
TensorFlow: Advanced Techniques
DeepLearning.AI
January 1, 2025 – Present
Machine Learning Terapan
Dicoding
January 1, 2025 – Present
Belajar Fundamental Deep Learning
Dicoding
January 1, 2025 – Present
Build Better Generative Adversarial Networks (GANS)
DeepLearning.AI
January 1, 2025 – Present
Machine Learning
Coursera
January 1, 2024 – Present
Natural Language Processing with Classification and Vector Spaces
DeepLearning.AI
January 1, 2024 – Present
TensorFlow: Data and Deployment
DeepLearning.AI
January 1, 2024 – Present
DeepLearning.AI TensorFlow Developer
Coursera
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's project diversity, including academic and professional projects, indicates a broad interest in applying AI across different domains. Their involvement in Bangkit Academy and a teaching assistant role suggests a collaborative mindset and a willingness to learn and contribute. The focus on practical, data-driven solutions aligns well with a results-oriented culture. The candidate's continuous pursuit of certifications also highlights a strong drive for self-improvement and staying current with industry trends.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through their project work, tackling real-world challenges with AI solutions. Their experience in an Agile team (Bangkit Academy) suggests an ability to collaborate effectively. As a Teaching Assistant, they have experience in guiding and providing feedback, indicating good communication and mentorship potential. The diverse project portfolio suggests adaptability and a proactive approach to learning and applying new technologies.