ABOUT
I'm Itte Aravind, a backend-focused software engineer specializing in AI-integrated systems, backend architecture, and full-stack development.
I build robust applications that combine reliable backend engineering with modern AI capabilities. My work spans Python, C++, JavaScript/TypeScript, Node.js, Django, FastAPI, React, PostgreSQL, MongoDB, AWS, and Docker, with a focus on APIs, AI/ML integration, data processing, and scalable systems.
I've worked on RAG systems, AI automation, computer vision, payment and billing platforms, and developer tools for international clients and startups. I enjoy turning complex requirements into practical, maintainable products.
Outside of work, I'm constantly exploring new technologies and building side projects around AI, backend engineering, and distributed systems.
TECH STACK & SKILLS
CORE PROFICIENCIES & TOOLKITProgramming Languages
Python, Go, Rust, Java, C++, TypeScript, JavaScript, Ruby
Backend Engineering
FastAPI, Django, Node.js, Express.js
Frontend Engineering
React, Next.js, Three.js, HTML5, CSS3
UI & 3D Development
WebGL, 3D Visualization, Interactive Web Experiences
Databases & Caching
PostgreSQL, MongoDB, MySQL, Redis, SQLite
Distributed Systems
Apache Kafka, OpenTelemetry, Distributed Tracing
Infrastructure & DevOps
Docker, Terraform, AWS, Linux
AI & Machine Learning
TensorFlow, OpenCV, Computer Vision, Deep Learning
Generative AI
LLM Integration, AI Inference, Model Serving
Computer Vision
Facial Recognition, Image Classification, Image Segmentation, Siamese Networks
Mobile Development
Kotlin, Android Development
Development & Security Tools
Git, GitHub, Burp Suite, OWASP ZAP
EXPERIENCE & PROJECTS
STARTUPS, CLIENTS & INTERNSHIPS</>
- Building AI-powered features for internal SaaS products, integrating LLM providers into production workflows.
- Developing AI agents to automate repetitive business processes across case management, CRM intelligence, and media placement systems.
- Supporting integration of AI services into web-based applications, working across prompt engineering, automation, and data pipeline tasks.
- Contributing to internal documentation and research on applied generative AI use cases for the company’s SaaS platform.
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