Software Engineering student specializing in Cloud Computing & Automation at Vellore Institute of Technology (VIT).
I build intelligent systems that combine Cloud Infrastructure, Artificial Intelligence, Automation Workflows, Computer Vision, and Full Stack Engineering to solve real-world problems at scale.
My interests span across:
- Cloud Engineering & Architecture
- Artificial Intelligence & Machine Learning
- DevOps & Automation
- Full Stack Development
- Distributed Systems
- Open Source Contributions
- Product Engineering
- Software Engineering Internships
- Cloud Engineering Internships
- DevOps Roles
- AI/ML Engineering Opportunities
- Open Source Collaborations
- Hackathons & Research Projects
| Domain | Proficiency | Details |
|---|---|---|
| Machine Learning | Advanced | Supervised Learning, Classification Models |
| NLP | Advanced | Automated Classification, Complaint Routing |
| Computer Vision | Advanced | Face Recognition, OpenCV Systems |
| Generative AI | Intermediate | AI Workflow Integration |
| Cloud AI Solutions | Intermediate | Cloud-hosted Intelligent Applications |
| Data Analytics | Intermediate | Visualization & Insights |
🚆 AI-Powered Rail Madad Complaint Management System
| Category | Details |
|---|---|
| Stack | Python, NLP, REST APIs |
| Scale | 5+ complaint categories |
| Performance | Reduced manual triage effort by ~60% |
| Security | Role-based workflow architecture |
| Impact | Faster complaint resolution |
| Repository | Coming Soon |
Designed and developed an AI-driven complaint management platform capable of automatically classifying citizen complaints using NLP techniques. Built real-time routing workflows and dashboards for department-wise resolution management.
👤 Cloud-Based Face Recognition Attendance System
| Category | Details |
|---|---|
| Stack | Python, OpenCV, Cloud Storage |
| Scale | 50+ users |
| Performance | ~92% recognition accuracy |
| Security | Identity validation workflow |
| Impact | Eliminated manual attendance processes |
| Repository | Coming Soon |
Built a cloud-integrated attendance solution leveraging Computer Vision and OpenCV. The system captures live camera feeds, recognizes users in real time, and stores attendance records automatically.
🌍 Carbon Footprint Analysis Platform
| Category | Details |
|---|---|
| Stack | HTML, CSS, JavaScript |
| Scale | Multiple industrial sectors |
| Performance | Real-time calculations |
| Security | Secure data validation |
| Impact | Net-zero recommendation engine |
| Repository | Coming Soon |
Developed a web platform enabling organizations to evaluate emissions and identify pathways toward sustainability and net-zero operations.
Independent Engineering Projects
2023 – Present
Designed and developed AI-powered applications, cloud-integrated systems, and automation workflows focused on real-world problem solving.
- Built AI-powered classification systems
- Developed cloud-hosted applications
- Designed automation workflows
- Implemented computer vision solutions
- Integrated REST APIs
- Applied software engineering best practices
Python
AWS
Machine Learning
Cloud Computing
OpenCV
Automation
REST APIs
Git
| Recognition | Details |
|---|---|
| Smart India Hackathon 2024 | Qualified Internal Round |
| Hacktoberfest 2024 | Level 4 Open Source Contributor |
| HackerRank | 5-Star C++ Rating |
| Sports Achievement | District-Level Badminton Player |
| Sports Achievement | District-Level Chess Player |
| Basketball | Inter-House Runner-Up |
Learning:
- Advanced AWS Architecture
- DevOps & CI/CD Pipelines
- System Design
- Distributed Systems
Building:
- AI-Powered Platforms
- Cloud Native Applications
- Open Source Projects
Exploring:
- Generative AI
- Kubernetes
- Infrastructure Automation
- MLOps
Open_To:
- Software Engineering Internships
- Cloud Engineering Roles
- AI/ML Opportunities
- Open Source Collaboration
"Engineering scalable systems today while building intelligent solutions for tomorrow."