Building software and intelligent systems through continuous learning, research, open source, and real-world engineering.
I am a Computer Science Engineering student specializing in Data Science, passionate about applying software engineering, artificial intelligence, and research to solve practical engineering challenges. My learning journey is centered around building systems that combine data, automation, and intelligent decision-making to create meaningful real-world impact.
Currently, I am strengthening my skills in Python, SQL, Machine Learning, and Power BI, while exploring how intelligent systems can be integrated with IoT, environmental monitoring, and automation. I enjoy understanding how software interacts with hardware and sensors, especially in domains such as smart agriculture, drone technology, and autonomous systems.
Alongside academics, I have begun contributing to Open Source, learning collaborative development practices through documentation improvements and Git workflows. Research is another important part of my journey, where I continue developing projects focused on environmental monitoring and intelligent sensing technologies.
I believe that good engineering is built through curiosity, consistent learning, clear documentation, thoughtful problem solving, and continuous improvement. My goal is to grow into an engineer who builds reliable, research-driven intelligent systems that positively impact society.
Build before claiming.
Learn continuously.
Write understandable code.
Document everything.
Solve meaningful problems.
Stay curious.
| Area | Status |
|---|---|
| Python | ✅ Learning & Building |
| SQL | ✅ Improving Daily |
| Power BI | ✅ Exploring Data Analytics |
| Machine Learning | ✅ Building Projects |
| Intelligent Systems | ✅ Exploring |
| Open Source | ✅ Active Learning |
| Research | ✅ Ongoing |
| Software Engineering | ✅ Growing |
| Problem Solving | ✅ Daily Practice |
| Autonomous Systems | ✅ Exploring |
| IoT | ✅ Building Projects |
Building
↓
Research
↓
Machine Learning
↓
Open Source
↓
Software Engineering
↓
Intelligent Systems
Started Learning Machine Learning
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▼
Started Building AI Projects
│
▼
Conference Paper Accepted
│
▼
Conference Research Submission
│
▼
Started Open Source Journey
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Working on Autonomous Drone Navigation
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▼
Building Smart Hydroponics System
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Growing Engineering Portfolio
🌱 Smart Hydroponics Monitoring System
🟡 Currently Developing
Building an IoT-based smart hydroponics monitoring system focused on precision agriculture using environmental sensors, nutrient management, and intelligent automation.
- Python
- Arduino
- IoT
- Sensors
- Environmental monitoring
- Automation workflow
- Sensor integration
- Predictive analytics
- Mobile dashboard
- Smart nutrient optimization
Repository: Coming Soon
🚁 Autonomous Drone Navigation System
🟡 Currently Developing
Developing an autonomous drone navigation system exploring intelligent flight control, autonomous navigation, sensor integration, and real-time decision making.
- Python
- Intelligent Systems
- Sensors
- Automation
- Navigation concepts
- System planning
- Autonomous navigation
- Obstacle avoidance
- Flight optimization
Repository: Coming Soon
🧪 Microplastic Detection using UV Fluorescence & Amplified LDR Sensor Network
🟡 Conference Submission (Second Review)
Developing an IoT-based environmental monitoring system for detecting microplastics in water using UV fluorescence and an amplified LDR sensor network.
- Arduino
- UV Sensor
- LDR
- Python
- Sensor integration
- Experimental validation
- Improved sensing accuracy
- Environmental monitoring applications
Repository: Coming Soon
📷 OAK-D Light Camera
✅ Conference Paper Accepted
Conference paper accepted based on the OAK-D Light Camera project.
Repository: Coming Soon
⚙ AI Agent Load Balancing
Backend-oriented intelligent request routing system.
- Round Robin
- Least Connection
- Health Monitoring
- Routing Logic
- System Design
Repository: Coming Soon
📩 SMS Spam Detection
Machine Learning project using Natural Language Processing.
- Data Cleaning
- TF-IDF
- Classification
- Model Evaluation
- Python
- Scikit-Learn
Repository: Coming Soon
🩺 Diabetes AI Chatbot (SIH)
Healthcare chatbot developed using diabetes datasets as part of a Smart India Hackathon (SIH) project.
- AI
- Healthcare
- Machine Learning
- Intelligent Assistance
Repository: Coming Soon
| Research | Status |
|---|---|
| OGDI Light Camera | ✅ Conference Paper Accepted |
| Microplastic Detection using UV Fluorescence & Amplified LDR Sensor Network | 🟡 Conference Submission (Second Review) |
| Future Research | Artificial Intelligence |
| Future Research | Intelligent Systems |
| Future Research | IoT |
| Future Research | Environmental Monitoring |
- 🌍 Started contributing to Open Source.
- 📖 Learning collaborative software development.
- 📝 Working on documentation improvements.
- 🚀 Exploring Git workflows and pull requests.
- 🌐 Contributing to the Cesium ecosystem through documentation updates.
- 📚 Building strong engineering habits through collaboration and code reviews.
🏆 RoboSoccer Winner
📄 Conference Paper Accepted
🌍 Started Open Source Journey
🧪 Conference Research Submission
| Skill | Progress |
|---|---|
| Python | ████████░░ 80% |
| SQL | ███████░░░ 70% |
| Power BI | ██████░░░░ 60% |
| Machine Learning | ███████░░░ 70% |
| Research | ███████░░░ 70% |
| Open Source | ████░░░░░░ 40% |
| Software Engineering | ██████░░░░ 60% |
| IoT | ██████░░░░ 60% |
- ✅ Strengthen Python
- ✅ Improve SQL
- ✅ Master Power BI
- ✅ Publish Conference Papers
- ✅ Expand Open Source Contributions
- ✅ Build Production-Level Projects
- ✅ Secure Software Engineering Internship
- ✅ Continue AI & IoT Research
Every repository will include:
- Overview
- Problem Statement
- Architecture
- Tech Stack
- Installation Guide
- Screenshots
- Results
- Future Improvements
- Contributing Guide
- License
- Detailed README
- NPTEL
- Infosys Springboard
