Bridging the gap between high-performance async APIs and automated, self-healing cloud infrastructure.
I am a DevOps & Backend Engineer specializing in resilient, highly available infrastructure and robust backend systems. I design Multi-AZ AWS architectures, build async API services with FastAPI, and automate CI/CD pipelines. My goal is to build fault-tolerant, scalable systems using Infrastructure as Code (Terraform) and containerized workflows.
| Category | Technologies |
|---|---|
| Cloud & Infra |     |
| CI/CD & Containers |      |
| Backend & Scripting |      |
| Databases & Analytics |     |
Tech Stack:
AWS,Terraform,SOPS
- Eliminated 4 critical business risks (downtime, latency, data exposure, traffic surges) by migrating a legacy monolithic application to a 3-tier AWS architecture with Multi-AZ redundancy across 2 Availability Zones and global edge caching.
- Achieved defense-in-depth network security by isolating application and database layers in private subnets behind AWS WAF.
- Improved page load times for international users by serving static assets through CloudFront global edge caching.
Tech Stack:
LocalStack,Terraform,Python,GitHub Actions
- Reduced cloud testing overhead by building a local-first cost detection workflow with LocalStack and Terraform, eliminating the need for real AWS infrastructure during development.
- Reduced risk of orphaned cloud resources by building a Python janitor CLI that detects 3 categories of idle assets (unattached EBS, stopped EC2, unassociated EIPs) with dry-run safety and Protected-tag skip.
- Standardized infrastructure validation across 7 pipeline stages by implementing a GitHub Actions CI/CD workflow automating Terraform checks and janitor reporting.
Tech Stack:
FastAPI,Python,PostgreSQL,SQLAlchemy 2.0,Alembic,Docker Compose,pytest
- Guaranteed exactly-once transaction processing across 4 database tables by building an async FastAPI backend with idempotency keys and per-user concurrency locks.
- Enabled multi-factor scoring across 3 transaction types (earn, spend, bonus) by implementing materialized rank computation with atomic SQLAlchemy snapshot updates.
- Streamlined deployment and schema consistency by containerizing with Docker Compose and automating PostgreSQL migrations via Alembic, validated by 8 tests.
Tech Stack:
Python (Pandas),Jupyter Notebook,PowerBI
- Extracted actionable insights from 2 IPL datasets (matches, deliveries) by performing exploratory analysis with Python Pandas across 6 visualization dimensions including team performance and venue trends.
- Enabled data-driven storytelling by building interactive PowerBI dashboards covering season distributions, top performers, and match outcome patterns.
- ☸️ Cloud Native: Deep diving into Kubernetes architecture and scheduling.
- 🐹 System Scripting: Learning Go (Golang) for infrastructure tooling.
- ☁️ AWS Certification: Preparing for AWS Certified Solutions Architect Associate.
- 🏗️ System Design: Studying scalable backend architecture patterns.
- 🎓 B.Tech in Computer Science and Engineering (2023 - 2027) at SRKR Engineering College
- 📈 CGPA: 8.7/10
- 💡 Interests: Local-first cloud testing (LocalStack), containerization, system hardening, and terminal-centric workflows.
- Open to: DevOps/Cloud-native open-source tool contributions, backend API design collaborations, and internship opportunities.
- LinkedIn: linkedin.com/in/mohankiran07
- Email: mohankiran07@protonmail.com
- Website: mohankiran.carrd.co
- Credly: credly.com/users/mohankiran07
- HackerRank: hackerrank.com/profile/SoulByte07