const sanket = {
name: "Sanket Patil",
role: "Full-Stack Engineer & Microservices Architect",
location: "India 🇮🇳",
languages: ["Java", "Python", "Dart", "JavaScript", "TypeScript", "Go"],
currentFocus: "Building scalable microservices & beautiful mobile apps",
funFact: "I turn coffee ☕ into clean, scalable code",
lifePhilosophy: "Code with passion, architect with precision 🎯"
};🔥 What drives me:
- 🏗️ Architecting distributed systems with advanced design patterns
- 📊 Implementing complex algorithms and optimizing data structures
- 🌐 Designing network protocols and distributed computing solutions
- 🤖 Building AI/ML models that solve real-world problems
- 📱 Crafting Flutter apps with pixel-perfect UI/UX
- 🛠️ Creating developer tools and automation frameworks
- 📚 Sharing knowledge through technical blogs and open source
- 🧠 Deep diving into computer science fundamentals and system design
Tech Stack: Spring Boot + Flutter + MongoDB + Docker + Kubernetes + Apache Kafka
Architecture: Event-Driven Microservices with CQRS Pattern
Features:
- 15+ microservices with Circuit Breaker pattern
- Real-time inventory management with WebSocket
- Distributed caching with Redis Cluster
- Event sourcing with Apache Kafka
- API Gateway with rate limiting
- Service mesh with Istio
Status: 🚧 In Development
Performance: Handles 10K+ concurrent users|
🔥 High Priority Projects
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🌱 Learning & Exploring
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# My expertise spans across:
algorithms = {
"sorting": ["QuickSort", "MergeSort", "HeapSort", "RadixSort"],
"searching": ["Binary Search", "A*", "Dijkstra", "BFS/DFS"],
"data_structures": ["Trees", "Graphs", "Heaps", "Hash Tables", "Tries"],
"advanced": ["Dynamic Programming", "Greedy Algorithms", "Backtracking"],
"complexity": "Big O Analysis & Space-Time Optimization"
}
# Problem solving stats:
leetcode_stats = {
"problems_solved": "500+",
"contest_rating": "Expert Level",
"specialization": ["Graph Algorithms", "Dynamic Programming", "System Design"]
}Architectural Patterns:
- Microservices Architecture
- Event-Driven Architecture
- Domain-Driven Design (DDD)
- CQRS (Command Query Responsibility Segregation)
- Event Sourcing
- Hexagonal Architecture
- Clean Architecture
Scalability Patterns:
- Load Balancing (Round Robin, Weighted, Consistent Hashing)
- Caching Strategies (Redis, Memcached, CDN)
- Database Sharding & Partitioning
- Circuit Breaker Pattern
- Rate Limiting & Throttling
- Bulkhead Pattern
Distributed Systems:
- CAP Theorem Implementation
- Consensus Algorithms (Raft, Paxos)
- Distributed Locking
- Message Queues (Kafka, RabbitMQ)
- Service Discovery
- API Gateway PatternsNetwork Layers Expertise:
Physical Layer: Signal processing, Modulation techniques
Data Link Layer: Ethernet, Wi-Fi, Error detection/correction
Network Layer: IP routing, OSPF, BGP protocols
Transport Layer: TCP/UDP optimization, Congestion control
Application Layer: HTTP/2, WebSockets, gRPC, REST APIs
Network Security:
- SSL/TLS implementation
- VPN protocols (IPSec, OpenVPN)
- Firewall configurations
- DDoS mitigation strategies
- Network monitoring & analysis
Performance Optimization:
- Bandwidth optimization
- Latency reduction techniques
- Network topology design
- Load balancing algorithms
- CDN implementation strategiesMachine Learning:
Supervised Learning:
- Linear/Logistic Regression
- Decision Trees & Random Forest
- Support Vector Machines
- Gradient Boosting (XGBoost, LightGBM)
Unsupervised Learning:
- K-Means, DBSCAN Clustering
- Principal Component Analysis
- Anomaly Detection
- Association Rule Mining
Deep Learning:
- Convolutional Neural Networks (CNN)
- Recurrent Neural Networks (RNN/LSTM)
- Transformer Architecture
- Generative Adversarial Networks (GANs)
Computer Vision:
- Object Detection (YOLO, R-CNN)
- Image Segmentation
- Facial Recognition
- Optical Character Recognition
- Real-time Video Processing
Natural Language Processing:
- Sentiment Analysis
- Named Entity Recognition
- Text Classification
- Language Translation
- Chatbot Development
MLOps & Deployment:
- Model Versioning with MLflow
- Containerized ML pipelines
- A/B testing for ML models
- Real-time inference optimization
- Model monitoring & drift detection- 🏗️ Understanding SOLID Principles with Java Examples
- 🤖 Clean Architecture in Flutter with BLoC State Management
➡️ Read more technical articles on my Medium blog
💬 I'm always excited to discuss new projects, innovative ideas, or opportunities to collaborate!
