Daniel Adama

A.I Engineer at MAP Systems Inc.

Hola, Daniel is a results-oriented Back-End & Artificial Intelligence Engineer with a Bachelor's degree in Information and Communication Engineering and 5+ 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: OpenAI GPT-3/4, Anthropic Claude-Sonnet, AWS BedRock

- RAG (Retrieval Augmented Generation), Qdrant & ChromaDB Vector Database

LLM Serving Engine:

- Llama cpp

- VLLM

CI/CD:

- GitActions, Circleci

Container Orchestration Tools:

- Docker, Kubernetes

Database:

- PostgreSQL, MySQL, MongoDB, Redis, SQLAlchemy, ElasticSearch

Cloud Computing:

- AWS, Digital Ocean

Back-End & API Development:

- Django Rest Framework, FastAPI, Flask, Quart, ASP.NET MVC

Test:

- Pytest, Unittest, xUnit

API Testing Tool:

- Postman

Linux, and Version Control:

- Git

Python ML/DL packages:

- HuggingFace, AioRTC, MediaPipe, Numpy, Scikit-learn, Pandas, TensorFlow 2, Keras, OpenCV, Scrapy, Apache Spark, DeepSpeech, NLTK, Dlib, Imutils, PyAudio

GitHub:

https://github.com/danielAdama

Portfolio:

https://daniel-adama.vercel.app/

Contact:

- Email: adamadaniel321@gmail.com

Location

Winnipeg, Canada

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MAP Systems Inc.

37 followers

MAP is an advanced AI-driven enterprise software system designed specifically for hospitals, clinics, personal care homes, labs, medical facilities and medical professionals. It optimizes operational efficiency, streamlines work flows, and enhances patient care through intelligent automation and data driven insights.


Industries

Headquarters

Winnipeg, Canada

Employees

11-50

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