I'm a Software Engineer with hands-on experience in cloud infrastructure automation, Python development, and CI/CD-driven workflows, built on an enterprise Information Security and Networking foundation at Sony India Software Center.
- 🔭 Currently working on infrastructure automation and reliability engineering initiatives
- 🌱 Deepening my skills in DevOps, Site Reliability Engineering (SRE), and cloud-native systems
- 🛠️ I enjoy combining software engineering principles with automation to build scalable, secure, maintainable systems
- 📊 Background in data analytics, ML, and NLP — a differentiator I bring into automation and tooling work
- ⚡ Fun fact: I built an NLP text summarizer for Marathi, a low-resource Indian language
| Category | Tools |
|---|---|
| Languages | Python, SQL, Bash |
| Cloud & Infrastructure | AWS, Terraform, Infrastructure as Code |
| Containers & Orchestration | Docker, Kubernetes |
| DevOps & Automation | CI/CD, GitHub Actions, Jenkins, GitOps, Ansible |
| Operating Systems | Linux |
| Data & ML | Pandas, NumPy, scikit-learn, Power BI, NLP |
|
🔁 Terraform Drift Detection & Auto-Remediation
Automated system using Terraform and Python to detect configuration drift across cloud environments and enforce compliance through Git-based remediation workflows, wired into a CI/CD pipeline.
|
🚀 Multi-Tier Web App Deployment (Manual → Automated → AWS)
Production-style multi-tier application deployed manually, automated locally, and rehosted on AWS using a lift-and-shift architecture — covering the full journey from manual ops to automation.
|
|
📝 Automated Extractive Marathi Text Summarizer
NLP tool that summarizes Marathi news articles using the TextRank algorithm — custom preprocessing for a low-resource language, with a Streamlit interface for real-time summarization.
|
💬 WhatsApp Chat Analyzer
Analyzes chat exports for message frequency, word usage, and media-sharing patterns, with visualizations to surface trends at a glance.
|
|
📊 Python Data Analysis Projects
A collection of data analysis work using Pandas, NumPy, and Matplotlib to clean, explore, and visualize datasets.
|
📌 More on GitHub → Browse the full list of repositories for additional automation scripts, DevOps experiments, and analytics work. |
⭐ Always open to collaborating on DevOps, cloud automation, and backend engineering projects.