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  • Chubb
  • Philadelphia, PA
  • 09:14 (UTC -04:00)
  • LinkedIn in/ani717

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Achievement: YOLOAchievement: Pull Sharkx2

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Achievement: YOLOAchievement: Pull Sharkx2

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ANI717/README.md

Hi, I'm Animesh Bala Ani 👋

Backend & AI Engineer | Building toward AI Platform Engineering

I build backend services and systems that connect machine learning models with real-world applications. My interests span AI infrastructure, MLOps, model serving, cloud-native engineering, and reliable developer platforms.

I enjoy working across the boundary between software engineering and applied AI—from building APIs and deploying models to exploring the infrastructure that makes AI systems secure, scalable, and maintainable.

What I work on

  • Backend engineering: REST APIs, application services, and integrations for AI-enabled applications.
  • Machine learning & MLOps: Model development, deployment, and the path from experiments to production.
  • Cloud-native systems: Containers, Kubernetes, and engineering practices for dependable deployments.
  • Robotics & computer vision: ROS/ROS 2, perception, and applied deep learning.

Current focus

I'm expanding my skills toward AI Platform Engineering, with a particular focus on:

  • AI application platforms and LLM infrastructure
  • CI/CD, automated testing, and security practices
  • Container orchestration, infrastructure automation, and observability
  • Model serving, evaluation, and production reliability

Technologies

Backend & languages: Python · FastAPI · REST APIs
Infrastructure: Docker · Kubernetes · GitHub Actions
AI/ML: Machine Learning · Deep Learning · NLP · Computer Vision · Generative AI
Robotics: ROS / ROS 2

Connect

Interested in building the platforms that make AI useful in production.

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  1. cloudops-ai cloudops-ai Public

    A self-hosted application observability and incident management platform built with Claude

    Python

  2. rag-learning rag-learning Public

    LangChain Learning

    Jupyter Notebook

  3. Dify-Readonly-Docker-Deploy Dify-Readonly-Docker-Deploy Public

    Secure and production-ready deployment of Dify AI components inside read-only, hardened Docker containers.

    TypeScript

  4. XGBoost-MLOps-Pipeline XGBoost-MLOps-Pipeline Public

    An end-to-end machine learning pipeline using XGBoost trained on the sklearn Breast Cancer dataset. This project demonstrates a full production workflow.

    Python

  5. ANI717-Robotics ANI717-Robotics Public

    Contains ROS2 packages to run robot car to collect annotated camera images while controlled by Gamepad. Also contains packages to run a robot car autonomously with a trained neural network.

    Roff 5 2

  6. Self-Driving-Computer-Vision-Repository Self-Driving-Computer-Vision-Repository Public

    Computer Vision & Deep Learning Repository for Autonomous Driving of Jetson Nano/Raspberry Pi controlled Miniature Robot Cars. The Deep Learning models are trained to mimic robot car driving contro…

    1 2