Aditya
A cloud-savvy software developer crafting elegant, high-performance digital experiences from the ground up.
About Me
CS undergrad, cloud enthusiast, and code explorer.
Hey! I'm Aditya, a Computer Science student who's passionate about solving real-world problems through efficient and thoughtful code. I love working on clean UIs, scalable systems, and exploring how tech can make life easier.
I'm constantly sharpening my skills across full-stack development, cloud infrastructure, and automation. I believe learning never stops, and I'm always up for a good challenge, a new stack, or an interesting bug to squash.
B.Tech in Computer Science
2023 – 2027 (Expected)
10th & 12th (PCM Stream)
2020 – 2023
Experience
My professional journey in software development and engineering.
Jio Platforms Ltd.
Key Metrics
Key Achievements
- •Developed and optimized an NL2SQL engine converting natural-language queries into SQL across 70+ MariaDB tables, achieving 97% accuracy on benchmark queries.
- •Engineered an SMS deduplication utility processing 50k+ records in under 5 seconds with 98% accuracy, leveraging Kibana analytics for reporting and validation.
- •Contributed to a high-volume SMS classification pipeline detecting OTP/transactional/promotional mislabeling across millions of daily messages; curated training datasets in Kibana to improve detection accuracy.
- •Contributed to development of multiple automation test cases (Robot Framework) integrated into Azure DevOps CI/CD pipelines for regression validation.
Open to discussing technology, sharing knowledge, and building meaningful connections in the tech community.
Technical Skills
A glimpse into my toolbox of technologies and skills.
- HTML
- Tailwind CSS
- React
- Next.js
- Node.js
- Express.js
- Python
- MySQL
- PostgreSQL
- Linux
- Git
- GitHub
- Docker
- Kubernetes
- AWS
- Azure DevOps
- VS Code
- RED (Robot Editor)
- Elasticsearch
- Kibana
- Kibana Query Language
Featured Projects
A showcase of my recent work, demonstrating my expertise in full-stack development.
A production-ready two-tier web application demonstrating modern DevOps practices across AWS and GCP. Built with Python FastAPI, Next.js, and fully automated CI/CD pipelines.
An AI-powered visualization tool that generates Mermaid architecture diagrams for GitHub repositories using Gemini API.
A full-stack application that enables users to interact with PostgreSQL databases using natural language. Built with FastAPI and OpenAI's GPT-4o, it translates user prompts into SQL and returns results securely.
An Arduino-based gas monitoring and alert system that detects LPG, CO, and smoke levels in the environment. It uses an MQ2 sensor, I2C LCD, and RTC module to log gas leaks with real-time alerts.
What Others Say
Testimonials from colleagues and mentors.
Let's Connect
Have a project in mind or want to discuss opportunities? I'd love to hear from you.