Daniel Enemona Adama

About

Hola, Daniel is a results-oriented Back-End & Artificial Intelligence Engineer with a Bachelor's degree in Information and Communication Engineering and 6+ years of experience designing and implementing end-to-end Machine Learning and Deep Learning pipelines. Proficient in Python, FastAPI, Django Rest Framework,.NET, and SQL, Daniel specializes in NLP and Computer Vision applications. Expertise: - Agent Development - LangGraph & LangChain - Data preparation/cleansing - Model building, AWS, Digital Ocean, MLOps - Algorithm evaluation for Regression, Classification, Bayesian Hyperparameter optimization - Machine Learning Lifecycle management (MLflow), - Gradient Boosting, XGBoost, LightGBM, Random Forest, Decision Tree, KNN - Object Detection (Vgg16, ResNet50, EfficientNetB1, MobileNet V2) and Tracking - Pose Estimation (MoveNet, Mediapipe) Achievements: - Ranked 454/1181 in the Analytics Vidhya JOB-A-THON competition. Key Skills: - Computer Vision - Embedded Systems - Natural Language Processing MLOps: - Experiments Tracking, Logging, and Model Registry (MLflow) LLM fine-tuning & Prompt Engineering: - Open Source Models: Falcon, Llama-2/3, Gemini, Mistral AI - Closed Source Models:

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