ML Engineer. "Who Dares Wins". Everything is my fault. Untill breath leaves the body, defeat is a rumour. #conquest
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Joined January 2015
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Maverick retweeted
MACHINE LEARNING ENGINEER ROADMAP
β
βββ 1. Programming Fundamentals
β βββ Python
β β βββ Variables & Data Types
β β βββ Loops & Conditionals
β β βββ Functions & Modules
β β βββ OOP & Exception Handling
β β βββ List Comprehensions
β β βββ File Handling
β β βββ Virtual Environments
β βββ Data Structures & Algorithms
β βββ Git & GitHub
β βββ Linux & Command Line
β
βββ 2. Mathematics for Machine Learning
β βββ Linear Algebra
β β βββ Vectors & Matrices
β β βββ Matrix Operations
β β βββ Eigenvalues & Eigenvectors
β β βββ Matrix Decomposition
β βββ Calculus
β β βββ Derivatives
β β βββ Partial Derivatives
β β βββ Gradients
β β βββ Chain Rule
β βββ Probability
β β βββ Random Variables
β β βββ Probability Distributions
β β βββ Bayes' Theorem
β βββ Statistics
β βββ Mean, Median & Mode
β βββ Variance & Standard Deviation
β βββ Hypothesis Testing
β βββ Correlation & Regression
β
βββ 3. Data Analysis & Manipulation
β βββ NumPy
β βββ Pandas
β βββ Matplotlib
β βββ Seaborn
β βββ Data Cleaning
β βββ Data Transformation
β βββ Exploratory Data Analysis (EDA)
β βββ Missing Values & Outliers
β βββ Feature Engineering
β
βββ 4. SQL & Database Fundamentals
β βββ SQL Queries
β βββ Joins & Subqueries
β βββ Aggregations
β βββ Window Functions
β βββ PostgreSQL
β βββ Database Design
β βββ Data Warehousing Basics
β
βββ 5. Machine Learning Fundamentals
β βββ What Is Machine Learning?
β βββ Supervised Learning
β β βββ Linear Regression
β β βββ Logistic Regression
β β βββ Decision Trees
β β βββ Random Forest
β β βββ Support Vector Machines
β β βββ K-Nearest Neighbors
β βββ Unsupervised Learning
β β βββ K-Means Clustering
β β βββ Hierarchical Clustering
β β βββ Principal Component Analysis
β βββ Reinforcement Learning Basics
β βββ Training & Testing Data
β βββ Cross-Validation
β βββ Overfitting & Underfitting
β βββ Regularization
β βββ Hyperparameter Tuning
β
βββ 6. Machine Learning Algorithms
β βββ Linear & Polynomial Regression
β βββ Naive Bayes
β βββ Gradient Boosting
β βββ XGBoost
β βββ LightGBM
β βββ CatBoost
β βββ Ensemble Learning
β βββ Model Evaluation & Optimization
β
βββ 7. Machine Learning Frameworks
β βββ Scikit-learn
β βββ XGBoost
β βββ LightGBM
β βββ CatBoost
β βββ Feature Pipelines
β βββ Model Serialization
β βββ Custom Transformers
β
βββ 8. Deep Learning
β βββ Neural Network Fundamentals
β βββ Perceptrons
β βββ Activation Functions
β βββ Forward & Backpropagation
β βββ Gradient Descent
β βββ Loss Functions
β βββ Optimizers
β βββ Convolutional Neural Networks (CNNs)
β βββ Recurrent Neural Networks (RNNs)
β βββ LSTMs & GRUs
β βββ Transformers
β βββ Transfer Learning
β
βββ 9. Deep Learning Frameworks
β βββ PyTorch
β β βββ Tensors
β β βββ Autograd
β β βββ nn.Module
β β βββ DataLoaders
β β βββ Training Loops
β βββ TensorFlow
β βββ Keras
β βββ GPU Acceleration
β βββ Distributed Training Basics
β
βββ 10. Natural Language Processing (NLP)
β βββ Text Preprocessing
β βββ Tokenization
β βββ Stemming & Lemmatization
β βββ Word Embeddings
β βββ Word2Vec & GloVe
β βββ Attention Mechanisms
β βββ Transformers
β βββ BERT & GPT Architectures
β βββ Hugging Face
β βββ Fine-Tuning Language Models
β
βββ 11. Computer Vision
β βββ Image Processing
β βββ Image Classification
β βββ Object Detection
β βββ Image Segmentation
β βββ OpenCV
β βββ YOLO
β βββ Vision Transformers
β βββ Image Augmentation
β
βββ 12. Generative AI & LLM Engineering
β βββ Large Language Models (LLMs)
β βββ Prompt Engineering
β βββ Embeddings
β βββ Vector Databases
β βββ Retrieval-Augmented Generation (RAG)
β βββ Semantic Search
β βββ LLM Fine-Tuning
β βββ LoRA & QLoRA
β βββ AI Agents
β βββ Model Evaluation
β βββ LLM Inference Optimization
β
βββ 13. MLOps & Model Deployment
β βββ ML Model Lifecycle
β βββ Experiment Tracking
β βββ MLflow
β βββ Weights & Biases
β βββ Model Versioning
β βββ Data Versioning (DVC)
β βββ Model Serving
β βββ FastAPI & Flask
β βββ REST APIs
β βββ Batch & Real-Time Inference
β βββ Model Monitoring
β βββ Model Retraining
β
βββ 14. Cloud & Infrastructure
β βββ AWS
β β βββ Amazon S3
β β βββ EC2
β β βββ SageMaker
β β βββ Lambda
β βββ Google Cloud
β β βββ Vertex AI
β β βββ BigQuery
β βββ Microsoft Azure ML
β βββ Docker
β βββ Kubernetes
β βββ CI/CD Pipelines
β βββ Terraform
β βββ GPU & Cloud Computing
β
βββ 15. Data Engineering for ML
β βββ ETL & ELT Pipelines
β βββ Apache Airflow
β βββ Apache Spark
β βββ Kafka
β βββ Data Lakes
β βββ Data Warehouses
β βββ Feature Stores
β βββ Data Quality & Validation
β
βββ 16. Model Optimization & Production
β βββ Model Quantization
β βββ Model Pruning
β βββ Knowledge Distillation
β βββ ONNX
β βββ TensorRT
β βββ Model Compression
β βββ Latency Optimization
β βββ Scalability
β βββ Production Reliability
β
βββ 17. Responsible AI & Security
β βββ AI Ethics
β βββ Bias & Fairness
β βββ Explainable AI (XAI)
β βββ SHAP & LIME
β βββ Data Privacy
β βββ Model Security
β βββ Adversarial Attacks
β βββ AI Governance
β
βββ 18. Build Real-World Projects
β βββ House Price Prediction System
β βββ Customer Churn Prediction
β βββ Fraud Detection System
β βββ Recommendation Engine
β βββ Spam Detection System
β βββ Stock Price Forecasting
β βββ Image Classification App
β βββ Object Detection System
β βββ Sentiment Analysis API
β βββ RAG-Based AI Assistant
β βββ AI Document Processing System
β βββ End-to-End ML Production Pipeline
β
βββ 19. Career Preparation
βββ Build a Strong GitHub Portfolio
βββ Create an ML Engineering Resume
βββ Master ML System Design
βββ Practice Python & SQL Interviews
βββ Solve ML Case Studies
βββ Learn Model Deployment at Scale
βββ Contribute to Open Source
βββ Write Technical Articles
βββ Apply for Machine Learning Engineer Roles
FINAL GOAL:
Become a Production-Ready Machine Learning Engineer
Lord!
Karen Nyamu: I recently tried to help a very staunch campaigner of mine join the police force. Tukakarabati (we forged) a form 4 certificate.
She went to Kiganjo for training, but after investigations, she was arrested for forgery alongside 17 others.
#ThePeoplesBreakfast
#HomeOfHardTruths
@ctmuga & @mungalambuvi
Maverick retweeted
The fastest way to get ahead is to master deep work. Set a clear goal. Remove every distraction. Work on it without switching tasks until you're done. Then rest and repeat. A few hours of intense focus are worth more than an entire day of distracted work.
Maverick retweeted
Where Winnie Odinga goes, is where her father wanted!
Winnie Odinga is her fatherβs daughter!
Maverick retweeted
1.Democracy does not exist.
2.Your vote doesn't count.
3.All bills in parliament are pushed by globalists and corporations, your politicians are just faces.
4. The political class care about themselves,they don't care about tribalism or poverty or you and me.
5.Politicians are all actors following a script.
6.All politicians have masters they report to.
7.If you decide to support a politician in this capitalistic society make sure it is benefitting you, everything has a price.
Do not follow the masses,be very selfish.
This is for you who believe politicians are going to bring change.
Mimi nadhani kuna vile mkuu @edwinsifuna ameanza mchezo.
π
ππ πππππππππ πππππππ
ππππππππππππ ππ πππ πππππ πππππππππ ππππππππ ππππππππππππ ππππππππ
πππππππππππ
πππππππ, πππππ.
πππππππ, πππππππ ππ, ππππ
Maverick retweeted
Sentences that changed my life:
β’ Neuroplasticity will make you a millionaire.
β’ Subconscious programming runs your life.
β’ The best investments have asymmetric risks.
β’ Working in a flow state is the most productive.
β’ Hang around high performers to become one.
β’ People buy your energy, not your skills.
β’ F*ck around and figure it out.
β’ Stress is a sign of growth, not a defect.
β’ Be an athlete, an artist, or an entrepreneur.
β’ The future belongs to non-linear careers.
β’ Treat social media like a video game.
β’ Have a psychopathic sense of urgency.
β’ Delusional optimism is how you win.
β’ Writing is thinking.
β’ Selling is just helping people.
β’ Only leverage creates wealth.
β’ You will never get rich on a salary.
β’ Smart people overthink everything.
β’ Do the opposite of 99% of society.
β’ To persuade, make people feel something.
β’ Share a worldview online instead of a niche.
β’ Posting on YouTube builds trust faster in an AI world.
β’ The solution to money problems is just to make more money.
β’ Either figure out sales & marketing, or work a job where a company does it for you.
Maverick retweeted
THE KILLER FACILITY THAT KISUMUβS JOOTRH LEVEL SIX HOSPITAL HAS BECOME
π» The @jootrhkisumu was upgraded to Level 6 in June 2025 and sold to Nyanza and Western Kenya as a medical masterstroke. 16 months later, the facility is killing people through neglect.
π» Last year, I lost my dear sister from there. The lesser said the better. CS @HonAdenDuale & esp the arrogant PS @fnoluga knows my pain with him. He ignored my calls/messages. Iβll forever appreciate DG @DrPatrickAmoth for positively intervening with JOOTRHβs failed management. The most incompetent and incompetent Joshua Okise (ostensibly protected by Oluga) should resign and allow a competent person to run JOOTRH. Let me talk of other Kenyans. Thanks @StandardKenya for this important story. JOOTRH is a total mess. Disgrace. A place people are referred to die!
π» Winnie Otieno, 41, mum of 3, was told to find blood herself. When the hospital responded, her husband returned to find another patient in his wife's bed. He found her body on a trolley by the toilets, covered with a bedsheet.
π» A nurse reportedly arrived at 2am for a patient convulsing since 9pm. He was later diagnosed with a stroke.
π» A woman who could not walk spent hours in a wheelchair, "no bed available," and died the moment a bed finally opened.
π» Ward Two's broken windows are patched with cardboard, with bedridden patients exposed to cold air at night.
π» A man waited nearly a week for a nurse to attend him. Another was told to wait two months for surgery.
π» Families bought Mackintosh sheets and sent them to Kisumu, because they were afraid to ask nurses for anything.
π» This is not a story of tired staff and a few bad nights. A national referral hospital is rationing blood, beds, dignity and basic nursing care, and families fear that complaining will make things worse.
π» Even the PS for Medical Services Dr Oluga admits "we are not blind to some complaints." That is an admission of a systemic failure.
π» Level 6 status is a legal and budgetary promise. It is not a signboard.
π» A hospital where patients die waiting for beds, blood and a nurse is not a referral facility. It is a death trap with a ribbon-cutting.
π» Investigations are not enough. We need accountability: who funds, who supervises, who answers @AnyangNyongo @WilliamsRuto @MOH_Kenya @DrOburu_O @StateHouseKenya @HakiKNCHR @koske_felix #JOOTRH #Kisumu #HealthIsARight
Maverick retweeted
Golf clubs are NOT for upcoming folk, join Rotary Club, Lions Club, Red Cross, Toastmaster, Red Cross. You will find awesome networks, skills and actually help society
Maverick retweeted
Ruthless with elimination.
Violent with execution.
Resilient with setbacks.
Relentless with iteration.
Unyielding with standards.
Maverick retweeted
The audacity is unreal: the very regime whose security forces shot at Raila's convoy and nearly took his life during the 2023 protests is now weaponizing his legacy, lecturing us on how much they 'loved' and 'valued' his vision. Buana I can never board such a charade!
Maverick retweeted
Topics to nerd out on:
> peak end rule
> Carl Jung psychological types
> entropy
> simulation theory
> fermi paradox
> observer effect
> status anxiety
> scarcity mindset
> stress management
> placebo effect
> moral relativism
> Greek mythology
> Rome fall
> Dante inferno
Donβt go in depth, have an idea about the ideas. Because those are for just perception building.