const kallappa = {
pronouns: "He/Him",
education: "B.Tech Computer Science @ REVA University (2023–2027)",
location: "Bengaluru, India 🇮🇳",
intro: "CS undergraduate building full-stack applications, AI/ML applications, and deploying with MLOps & DevOps practices.",
interests: [
"Backend Systems & Scalable REST APIs",
"End-to-End ML Pipelines using MLOps",
"Cloud Deployments with Docker, Kubernetes, CI/CD & AWS"
],
currentlyLearning: ["System Design", "Microservices", "DSA", "Agentic AI"],
funFact: "I debug faster when the deadline is closer! ⚡",
};Duration: 6 Months (Paid Internship) | 🔗 Live Demo
- Developed and maintained full-stack features across the research portal using the MERN stack
- Architected and implemented the backend system powering core application modules with clean, modular code
- Performed query optimizations and database indexing on MongoDB, significantly improving application performance
- Built scalable REST APIs with Express.js, improving response times and ensuring consistent API contracts
- Collaborated with the team via GitHub — raising PRs, reviewing teammates' code, and ensuring smooth merge workflows
- Implemented JWT-based authentication and role-based access control for secure user sessions
- Contributed to backend architecture decisions and participated in sprint planning and code reviews
- Contributed to 2+ open source projects as part of GSSoC 2026
- Studied and understood the existing backend systems of both projects before contributing
- Identified gaps and created 7+ issues covering backend enhancements, bug reports, and feature suggestions
- Picked up existing issues raised by project admins for backend improvements, fixed them, and raised 8+ PRs — all successfully merged
- Selected as Project Admin for my own open source project under GSSoC 2026
- Designed and created starter issues and leveled issues (Easy / Medium / Hard) for contributors to onboard smoothly
- Reviewed and merged 40+ PRs, ensuring code quality and consistency across contributions
- Collaborated with like-minded contributors and fellow project admins to maintain project momentum and community health
graph TB
A[🎓 Current Focus] --> B[🌐 Full Stack Development]
A --> C[🤖 Machine Learning]
A --> D[⚙️ MLOps]
A --> E[☁️ DevOps]
B --> B1[Frontend Mastery]
B --> B2[Backend Development]
B --> B3[Database Design]
C --> C1[Deep Learning]
C --> C2[Model Building]
C --> C3[Data Analysis]
D --> D1[DVC & MLflow]
D --> D2[Docker Containers]
D --> D3[CI/CD Pipelines]
E --> E1[Linux & Git]
E --> E2[Kubernetes]
E --> E3[AWS Cloud]
E --> E4[Prometheus]
E --> E5[Grafana]
E --> E6[Loki]
E --> E7[Terraform]
E --> E8[Networking]
style A fill:#ff6b6b,stroke:#c92a2a,stroke-width:3px,color:#fff
style B fill:#4ecdc4,stroke:#006d77,stroke-width:2px,color:#000
style C fill:#ffe66d,stroke:#f4a261,stroke-width:2px,color:#000
style D fill:#a8dadc,stroke:#457b9d,stroke-width:2px,color:#000
style E fill:#f1faee,stroke:#1d3557,stroke-width:2px,color:#000
Full-featured e-commerce platform with separate Admin and User dashboards
- Users can browse products, manage their cart, place orders, and pay via Stripe, Razorpay, or Cash on Delivery
- Real-time order tracking — users see live status updates set by admins
- Admins can perform full CRUD operations on products and manage order statuses for all users
End-to-end MLOps pipeline for wine quality classification
- Trained a classification model using scikit-learn on the red wine dataset
- Implemented DVC for data versioning and pipeline reproducibility
- Exposed predictions via a Flask REST API with clean endpoints
- Fully Dockerized, with GitHub Actions CI/CD and deployed on Render
Deep learning + MLOps pipeline for medical image classification
- Fine-tuned VGG16 CNN on a kidney disease dataset for multi-class classification
- Integrated MLflow for experiment tracking and DVC for pipeline management
- Served via a Flask REST API and deployed via Dockerized GitHub Actions CI/CD on Render
Enterprise-grade employee management system with full DevOps implementation
- Built Employee and Admin dashboards with role-based access and management features
- Added email notifications via Nodemailer (AWS SNS integration)
- Wrote unit and integration tests using Supertest & Jest
- Dockerized the full application and orchestrated with Kubernetes
- Set up Prometheus, Grafana & Loki for monitoring, metrics, and log aggregation
- Managed infrastructure with Terraform (IaC) and deployed to AWS using EKS, S3, and EC2 via GitHub Actions CI/CD
AI-powered job fraud and scam detection platform
- Built with React (frontend) and Python/Flask (backend) to screen suspicious job postings, recruiter messages, and email/domain signals
- Classifies job listing text using a BERT-based NLP model
- Inspects domains using WHOIS, DNS, PhishTank-style lists, SSL certificate quality, and domain mismatch signals
- Stores repeated entities and fraud patterns in a Neo4j knowledge graph
- Integrated Google Gemini for advanced AI-assisted analysis
Developer-focused Python voice assistant with AI integrations
- Built with Python 3, designed specifically for learners and developers
- Supports browser operations, navigation, speech navigation, and AI Code Security Analysis
- Integrated Gemini API and LLaMA for intelligent AI responses
- Features VS Code automation — creates project scaffolding for different frameworks, sets up directory structures, and runs projects via voice commands
| Domain | Skills | Proficiency |
|---|---|---|
| Full Stack Development | MERN Stack, REST APIs, Authentication | ⭐⭐⭐⭐⭐ |
| Machine Learning | Model Training, Data Processing, MLflow | ⭐⭐⭐⭐ |
| MLOps | DVC, Docker, CI/CD, DagsHub, GitHub Actions | ⭐⭐⭐⭐ |
| DevOps | Linux, Git, Docker, Kubernetes, AWS, Prometheus, Grafana, Loki, Terraform, Networking | ⭐⭐⭐ |
| Database Management | MongoDB, PostgreSQL, Schema Design | ⭐⭐⭐⭐ |
| Cloud Computing | AWS Basics, Deployment Strategies | ⭐⭐⭐ |
| Certificate | Platform | Domain |
|---|---|---|
| 🏅 Full Stack Web Development | Udemy | Web Development |
🚀 Freelance Projects | 🤝 Collaboration | 💼 Job Opportunities | 🎯 Open Source Contributions