SRI
sridharan kaliyamoorthy
AI/ML Engineer • Python Nerd • Full-Stack Developer • DevOps Engineer
Python is my core skill — Building intelligent systems, scalable web applications, and automating infrastructure with Python and its powerful ecosystem. Expert in Python libraries for AI/ML, web development, data processing, and automation. Transitioned from visual effects and animation production pipelines to software engineering—bringing precision, discipline, and production-grade reliability to code. Python-powered solutions meet production-grade full-stack development and DevOps excellence.
$ ./skills.sh
Full-Stack Development
Python is my core skill — I build end-to-end web applications with Python and its rich ecosystem. From RESTful APIs using FastAPI, Flask, and Django to database design with SQLAlchemy, I leverage Python libraries like Pandas, NumPy, Requests, and many more. Combined with responsive frontend interfaces using React, I deliver complete solutions that are scalable, maintainable, and user-focused. Python-first approach with expertise in production-ready applications.
DevOps & Cloud Infrastructure
I design and implement robust DevOps pipelines that automate deployments, testing, and infrastructure management. Proficient in containerization with Docker, CI/CD automation, cloud platforms (AWS, Azure, GCP), and infrastructure as code. I ensure systems are reliable, scalable, and maintainable in production environments.
Backend Development & APIs
Python is my core skill — I architect and develop robust backend systems using Python frameworks (FastAPI, Flask, Django) and extensive Python libraries. My expertise includes database design with SQLAlchemy, API development with Python's Requests, async programming with asyncio, data processing with Pandas and NumPy, and system integration. I leverage Python libraries like Pydantic, Celery, Redis, and more to build scalable, efficient, and well-documented APIs that power modern applications.
Automation & Scripting
Python is my core skill — I automate repetitive tasks and build workflow automation systems using Python and its powerful libraries. From deployment scripts with Fabric and Invoke to infrastructure automation with Boto3, Ansible, and Python-based CI/CD pipelines, I leverage libraries like Paramiko, Selenium, BeautifulSoup, and more. Python-first automation eliminates manual overhead and improves operational efficiency. My background in production environments ensures reliable, tested automation solutions built on Python's robust ecosystem.
System Architecture & Problem Solving
I design scalable system architectures that balance performance, maintainability, and cost. Strong algorithmic thinking and problem-solving skills enable me to tackle complex technical challenges. I translate business requirements into technical solutions that are production-ready from day one.
$ echo "Who am i ?????"
Who am i ?????
Python is my core skill — I'm a Full-Stack Developer and DevOps Engineer with a deep focus on Python and its extensive ecosystem. My work spans from developing end-to-end solutions using Python frameworks and libraries to designing production-grade DevOps pipelines that eliminate operational friction.
With expertise in Python libraries for AI/ML (TensorFlow, PyTorch, Scikit-learn), web development (FastAPI, Flask, Django), data processing (Pandas, NumPy, Matplotlib), automation (Selenium, BeautifulSoup, Requests), and more, I bring precision, discipline, and the ability to deliver under tight constraints. I specialize in Python-powered full-stack development, cloud automation, and DevOps practices that drive production-ready systems.
My Engineering Philosophy
I believe in building systems that actually ship—not concept pieces or demo fluff. Every solution I design is production-ready, scalable, and maintainable. I focus on:
- Real problems, real solutions: I tackle challenges that matter in production environments.
- Scalability from day one: Systems are designed to grow, not just work.
- Code quality and maintainability: Clean, readable, and well-documented code.
- Automation first: Eliminate manual overhead through intelligent automation.
Python — My Core Skill & Expertise
Python is my core skill — I build complete solutions using Python and its powerful ecosystem. My expertise includes:
- Python Frameworks: FastAPI, Flask, Django for backend development
- Python Libraries: Pandas, NumPy, Matplotlib, Seaborn for data processing and visualization
- Python AI/ML: TensorFlow, PyTorch, Scikit-learn, NLTK for machine learning and AI
- Python Automation: Selenium, BeautifulSoup, Requests, Paramiko for automation and web scraping
- Python DevOps: Fabric, Invoke, Boto3, Ansible for infrastructure and deployment automation
- Python Database: SQLAlchemy, Psycopg2, SQLite3 for database operations
- Python APIs: RESTful API development with FastAPI, async programming with asyncio
- Frontend development with React and modern JavaScript frameworks
- System integration and end-to-end testing with Python testing frameworks (pytest, unittest)
DevOps & Cloud Infrastructure
I design and implement robust DevOps pipelines that automate deployments, testing, and infrastructure management. My expertise includes:
- Docker containerization and orchestration
- CI/CD pipeline design and implementation (GitHub Actions, Jenkins)
- Infrastructure as Code (IaC) practices
- Cloud platforms (AWS, Azure, GCP)
- Automated deployment workflows and monitoring
- Cloud resource management and optimization
Production Discipline
My experience in production environments has instilled in me a deep appreciation for:
- Precision: Every detail matters in production environments.
- Discipline: Following best practices and maintaining high standards.
- Production-readiness: Systems must work reliably under real-world constraints.
- Workflow optimization: Understanding how to streamline complex processes.
This discipline translates directly into my software engineering work, ensuring that every system I build is robust, reliable, and ready for production use.
$ ./achievements --show
DigiEduHack @ 42 Prague 2025
EU DigiEduHack Initiative • 24-Hour Hackathon • Local Winner
Won 1st Place & Selected as Local Winner in the DigiEduHack hackathon at 42 Prague, part of the European Union's DigiEduHack initiative and Dny AI in Czechia 2025. As a member of TeamAOS, I helped develop a winning solution that addresses one of Europe's most challenging educational infrastructure problems.
The Challenge: Build an open-source data infrastructure for Nadační fond Eduzměna to scale educational equity interventions across 5,000+ schools in the Czech Republic's decentralized education system. The solution needed to handle exponentially growing multidimensional data and help bring proven educational solutions to schools nationwide.
Our Solution: Developed a beautifully simple, manageable, and implementable solution using Python as the core technology, focusing on scalability and real-world applicability. The jury selected our solution for its practical approach and ability to actually work in production environments.
Impact & Next Steps: As the local winner, our team has been selected to proceed to the next phase of the competition. We are now working towards qualifying for the global finals, where we will compete among 12 global finalists at the Digital Stakeholder Forum in Brussels in 2026. Eduzměna will continue developing this solution with TeamAOS as we prepare for the international competition.
$ ./projects --list
Production-ready systems that solve real-world problems.
ProActive CSI — Compliance Automation
Multi-agent workflow system automating compliance monitoring and risk assessment. Built with Python, FastAPI, and IBM watsonx for intelligent risk scoring.
RETENX — Workflow Platform
Agent-driven platform for business automation. Python-powered orchestration with FastAPI, Celery, and real-time process monitoring.
Full-Stack Applications
Production-ready full-stack solutions with Python backends (FastAPI, Flask) and React frontends. End-to-end development with scalable architecture.
DevOps & CI/CD Automation
Automated deployment pipelines and infrastructure automation. Docker, GitHub Actions, and cloud platform integration for scalable DevOps workflows.
AI/ML Solutions
Machine learning models and AI systems built with Python. TensorFlow, PyTorch, and Scikit-learn for production-grade ML applications.
VFX Automation Tools
Production-grade Python tools for VFX pipeline automation. Streamlined asset management and workflow optimization for production environments.
More Projects
I build systems that actually ship—not concept pieces. Each project is production-ready, scalable, and designed to solve real problems.