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Click on the sections below to explore different aspects of the debug mission!
Debug Fighter Aircraft Details:
- Model: Neural Network Hunter v2.0
- Primary Weapon: Laser-guided Bug Elimination System
- Target Acquisition: Advanced Pattern Recognition
- Fuel: Pure Caffeine and Determination ☕
- Special Ability: Can detect bugs across multiple programming languages
- Success Rate: 99.7% bug elimination efficiency
Mission Stats:
- ✅ Syntax Errors Eliminated: 1,247
- ✅ Logic Bugs Debugged: 892
- ✅ Runtime Errors Fixed: 634
- ✅ Code Reviews Completed: 156
- 🎯 Current Target: Zero-Bug Production Code
Enemy Bug Types Identified:
🔴 Syntax Error Bugs (SYN)
- Threat Level: Medium
- Characteristics: Missing semicolons, unclosed brackets
- Weakness: Static analysis tools
- Elimination Method: Laser precision targeting
🟠 Logic Error Bugs (LOG)
- Threat Level: High
- Characteristics: Wrong algorithms, incorrect conditions
- Weakness: Unit testing and code review
- Elimination Method: Strategic debugging maneuvers
🟣 Runtime Error Bugs (RUN)
- Threat Level: Critical
- Characteristics: Null pointer exceptions, memory leaks
- Weakness: Exception handling and monitoring
- Elimination Method: Advanced tracking and containment
Primary Objectives:
- 🎯 Eliminate all code bugs in production systems
- 🛡️ Implement defensive programming practices
- 🔍 Establish continuous monitoring systems
- 📊 Maintain 99%+ code quality metrics
- 🤖 Deploy automated testing frameworks
Secondary Objectives:
- 📚 Knowledge transfer to junior developers
- 🏆 Achieve zero-downtime deployments
- 🔧 Optimize system performance
- 🌟 Contribute to open-source projects
- 🎓 Continuous learning and skill development
Mission Status: ✅ ACTIVE - All systems operational
|
🔗 Technologies: Blockchain, Waves 3.2, Data Models, Web3.0 |
🔗 Technologies: Edge TPU, Cloud, ML, IOT Hub, UX Design |
|
🔗 Technologies: AI Agents, Dataflows, Arduino, LSTM, GenAI |
🌟 Open for collaboration on projects involving: |
• 1st Place in Drona-thon (Innovation) Competition |
• Reduced model training time by 35% |
┌──── CAREER PROGRESSION ─────────────────────────────────────────────┐
│ │
│ [LEVEL 3] Python & Gen AI Developer │
│ └─ Swara Tech, Hyderabad (Feb 2025 - Present) │
│ └─ Developing Python-based AI applications │
│ └─ Implementing generative AI model enhancements │
│ └─ Cross-functional team collaboration │
│ │
│ [LEVEL 2] AI Developer (Part Time) │
│ └─ OUTLIER (Aug 2024 - Jan 2025) │
│ └─ 20% accuracy improvement in generative AI models │
│ └─ Python/R machine learning model development │
│ └─ AI training with targeted CS questions │
│ │
│ [LEVEL 1] Machine Learning Intern │
│ └─ Suvidha Foundation (Mar 2024 - Apr 2024) │
│ └─ 35% optimization in model training time │
│ └─ 92% accuracy in real-time object detection │
│ └─ MLflow deployment time reduction (2 days → 4 hrs) │
│ │
└─────────────────────────────────────────────────────────────────────┘
---
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