Software Engineer | AI/ML Enthusiast | Systems & Algorithms Explorer

🎯 Building intelligent systems | 🔬 Research-driven development | 🚀 Low-level optimization

I design and build software systems at scale — from embedded systems and real-time applications to machine learning pipelines and distributed networks. I'm particularly passionate about:

• Multi-agent systems & swarm intelligence
• PID control & robotics dynamics
• AI/ML from fundamentals to production
• Systems programming (C, C++, Python)
• Data structures & algorithms (DSA mastery)
• Network simulation & distributed systems
• Real-time visualization (graphics, SDL2)

• Graphics: SDL2, OpenGL, Cairo
• ML/Data: NumPy, Pandas, TensorFlow, PyTorch, Scikit-learn
• Databases: MongoDB, PostgreSQL, SQLite
• DevTools: Git, VSCode, GDB, LLDB, CMake, Docker
• Robotics: ROS, Gazebo
• Version Control: GitHub, Git workflows

Systems Programming        ████████░░ 80%
Data Structures & Algos    █████████░ 90%
Machine Learning           ████████░░ 80%
Graphics Programming       ███████░░░ 70%
Embedded Systems          ██████░░░░ 60%
Web Development           █████░░░░░ 50%
DevOps & Cloud           ████░░░░░░ 40%

Real-time multi-agent system with leader-follower dynamics, network latency simulation, and obstacle avoidance.

• ⚙️ Tech: C, SDL2, PID control, swarm algorithms
• 🔗 View Repository
• ✨ Features:
  • 4 dynamic formation types (circle, line, V-shape, grid)
  • Network packet loss & latency simulation
  • Per-axis PID trajectory control
  • Real-time visualization with isometric projection
  • Sphere obstacle avoidance with repulsion forces

Comprehensive DSA implementations covering:

• Sorting (QuickSort, MergeSort, HeapSort, InsertionSort)
• Search (Binary Search, Linear Search)
• Linked Lists, Trees, Graphs
• Cryptography (AES encryption with OpenSSL)
• File I/O & stream processing

• 🤖 Advanced neural networks & deep learning architectures
• 🔐 Cybersecurity & intrusion detection systems
• 📊 Signal processing & digital control systems
• 🧠 Transformer models & large language models
• ⚛️ Quantum computing fundamentals

Note: Connect your Wakatime account to GitHub for real-time coding stats!

Most Active In:

• 💻 Systems Programming: 35%
• 🤖 ML/AI Projects: 25%
• 📊 Data Analysis: 20%
• 🎮 Graphics: 15%
• 🔧 Utilities: 5%

• 🚁 Drone Swarm 3D — Multi-agent simulation with network dynamics (2024-2025)
• 🧠 ML from Scratch — Building neural networks without frameworks (2024)
• 🔐 Intrusion Detection AI — Anomaly detection using deep learning (2024)
• 📚 Data Structures Library — Comprehensive C implementations (Ongoing)

• 🔄 Active on personal projects
• 📖 Documentation & code comments
• 🐛 Continuous bug fixes & optimizations
• 🚀 Performance improvements across systems

• 🌟 Project Developer: Built 30+ projects from scratch
• 💡 Algorithm Enthusiast: DSA mastery with 100+ implementations
• 🤖 ML Pioneer: Trained 15+ models from fundamentals
• 🔒 Security Conscious: Explored cryptography & network security
• 📚 Knowledge Seeker: Continuous learner across multiple domains

Code is poetry. Systems are art.

I believe in:

• ✅ Clean, maintainable code with comprehensive documentation
• ✅ Performance-conscious design without premature optimization
• ✅ Continuous learning and experimentation
• ✅ Collaboration and knowledge sharing
• ✅ Solving real problems with elegant solutions
• ✅ Open-source contribution & community building

• 🏆 Master systems-level programming and optimization techniques
• 🤖 Deploy production-grade AI/ML applications at scale
• 🚀 Contribute meaningfully to open-source projects that matter
• 📖 Write technical blog posts & educational content
• 🌍 Build technology that positively impacts society
• 🔬 Research & implement cutting-edge algorithms
• 👥 Mentor junior developers & build community

• 🧠 Transformer Models & LLMs — Architecture deep-dives
• 🔐 Cybersecurity — Network security & intrusion detection
• 📊 Signal Processing — Digital control & filtering
• ⚡ Performance Optimization — Profiling, caching, parallelization
• 🌐 Distributed Systems — Consensus, replication, fault tolerance
• 🤖 Robotics & Autonomous Systems — Control theory & path planning

Mon-Fri:  Deep work on systems & algorithms
Weekends: Experimentation & new project exploration
Daily:    Code reviews, documentation, learning