Leonardo Melo

Defender IRL & in Web3. No FUD, just football.

[Raunak Yadush @raunak_yadush]

// T.W. AI HOT TAKE
.
. Artificial Intelligence
. Machine Learning
. Deep Learning
. Neural Networks
. Supervised Learning
. Unsupervised Learning
. Reinforcement Learning
. Natural Language Processing
. Computer Vision
. Generative AI
. Large Language Models
. Prompt Engineering
. Model Training
. Model Fine-Tuning
. Transfer Learning
. Feature Engineering
. Data Preprocessing
. Data Cleaning
. Model Evaluation
. Hyperparameter Tuning
. Python
. NumPy
. Pandas
. Scikit-learn
. TensorFlow
. PyTorch
. Keras
. OpenCV
. NLTK
. SpaCy
. Hugging Face
. LangChain
. OpenAI API
. Vector Databases
. Embeddings
. RAG (Retrieval Augmented Generation)
. Chatbots
. Recommendation Systems
. Speech Recognition
. Text Classification
. Sentiment Analysis
. Named Entity Recognition
. Image Classification
. Object Detection
. Face Recognition
. OCR
. Time Series Forecasting
. Anomaly Detection
. AutoML
. Model Deployment
. Model Serving
. REST APIs
. FastAPI
. Flask
. Docker
. Kubernetes
. Cloud Computing
. AWS SageMaker
. Azure ML
. Google Vertex AI
. MLOps
. CI/CD for ML
. Model Monitoring
. Drift Detection
. A/B Testing
. Explainable AI
. Model Interpretability
. SHAP
. LIME
. Ethics in AI
. Bias Detection
. Fairness in ML
. Privacy Preserving ML
. Federated Learning
. Edge AI
. Real-time Inference
. Batch Inference
. Data Pipelines
. Airflow
. MLflow
. Weights & Biases
. Experiment Tracking
. Feature Stores
. Big Data
. Spark ML
. Hadoop
. SQL
. NoSQL
. Data Warehousing
. ETL
. Statistics
. Linear Algebra
. Probability
. Optimization
. Gradient Descent
. Backpropagation
. Attention Mechanism
. Transformers
. BERT
. GPT

Most ‘AI Engineers’ don’t know AI.

[MEXC @MEXC]

Bear markets don’t stop builders.

MEXC keeps building.

[Leonardo Melo @leonardomelo9]

Just spun up a custom signal with EdgenTech's new Signal SDK cross-chain heatmaps fed by on-chain liquidity in minutes. @EdgenTech what datasets are next? $SATS #Web3

[Leonardo Melo @leonardomelo9]

@elisonverissimo @ygfdsa1 @MillieCarpent22 @cysic_xyz facts, test fast, kill ego, let the numbers decide fam

[Leonardo Melo @leonardomelo9]

Just finished the testnet grind with @cysic_xyz and saw proof-of-compute in action: GPU + ASIC acceleration, zk infra that scales. Mainnet is closer are you in? $CYS #ZK

[Leonardo Melo @leonardomelo9]

@elisonverissimo @ygfdsa1 @MillieCarpent22 @cysic_xyz sending dm now, appreciate it

[Leonardo Melo @leonardomelo9]

@MillieCarpent22 @elisonverissimo @ygfdsa1 @cysic_xyz true, hooks win attention, refunds kill trust, timing keeps users

[Leonardo Melo @leonardomelo9]

Story: swapped 30 tabs for @EdgenTech Decision Layer. Crypto + stocks watches, on-chain flows and liquidity heatmaps in one brief. Still tab-surfing, #Crypto?

[Leonardo Melo @leonardomelo9]

@Suryanshti777 pick tools by outcome: research accuracy vs speed.
audit outputs: verify, source links, reuse prompts.

[Leonardo Melo @leonardomelo9]

Just jumped into Brevis ProverNet beta: provers register GPU/CPU to chase jobs; apps submit proofs. privacy stays verifiable and compute moves from theory to onchain infra @brevis_zk#ZK $BREV?

[Leonardo Melo @leonardomelo9]

@rettele91814 @cysic_xyz gm gm. gpu and asic accel plus zk cuts cut proof costs and boost throughput. batch provers and mem opt circuits.

[Leonardo Melo @leonardomelo9]

@evelynleonhart @rettele91814 @brevis_zk zk oracle relays

[Leonardo Melo @leonardomelo9]

Explored Brevis zk off-chain compute turned trustless proofs into real data work. dApps can touch data they never could. What would you build first? @brevis_zk #ZK #Web3

[Leonardo Melo @leonardomelo9]

@oslmerdem @brevis_zk privacy oracles and zk indexes

[Leonardo Melo @leonardomelo9]

@leroyharri166 @EdgenTech @goatnetwork solid. aura is social credit for steady on chain activity, not one off. ai ta helps surface quality, bro

[Leonardo Melo @leonardomelo9]

@Ivan_Ayress @brevis_zk yea the coord layer is the secret sauce, cuts sync friction and keeps verifiable privacy at scale

[Leonardo Melo @leonardomelo9]

@MillieCarpent22 @ygfdsa1 @elisonverissimo @cysic_xyz Instrument onchain KPIs, ship gas optimized defaults, iterate fast with feature flags.

[Leonardo Melo @leonardomelo9]

Just tried @EdgenTech AI-augmented earnings on QuinStreet Q1: $285.9M rev, $40M buyback, Q2 guide $270 280M. AI explains the pivot; it nudged my stance $QNST #EdgenTech

[Leonardo Melo @leonardomelo9]

@MillieCarpent22 @ygfdsa1 @elisonverissimo @cysic_xyz Telemetry first, fren

[Leonardo Melo @leonardomelo9]

@ygfdsa1 @cysic_xyz blend workloads, cut pwr, lower latency