Roshan Machine Learning software engineer
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About Me:
Hello, I’m Roshan Chauhan, a passionate Machine Learning Engineer with a solid academic foundation in Computing Engineering. My professional journey has been defined by a strong focus on innovation, scalability, and efficiency in AI/ML solutions, coupled with a commitment to fostering growth through teaching and collaboration.

Why Choose Me?
With a unique blend of technical expertise, teaching experience, and an unwavering passion for solving complex problems, I am dedicated to delivering value both as an educator and a professional. Whether you’re looking to learn, grow, or collaborate, I’m here to make the journey meaningful and impactful.

Professional Expertise:
Currently, I am a Machine Learning Engineer at Aera Technology, where I specialize in designing distributed notebook architectures and in-house CI/CD frameworks within the AI workspace. I have been instrumental in building Remote Function as a Service (FaaS) solutions using OpenFaaS and Kubernetes, enabling seamless deployment and orchestration of AI/ML applications. My recent projects also include developing a Dask-based distributed ML architecture to automate complex workflows, ensuring high performance and efficiency.

Previously, at Quantiphi, I contributed to AthenasOwl, an AI-driven media platform. My work revolved around designing deployment pipelines for media metadata archiving and building cloud-agnostic solutions that streamlined AI/ML workflows. Integrating advanced technologies like Kafka and OpenFaaS, I ensured robust, scalable, and secure solutions adaptable across cloud platforms.

Teaching & Mentorship:
Teaching is my passion. I’ve taught science and mathematics to high school students and find immense joy in sharing knowledge and empowering others. I strive to make learning engaging and relevant, simplifying complex topics to inspire confidence and curiosity in my students.

Hobbies & Interests:
Outside of work, I’m an avid adventurer who loves trekking and exploring the great outdoors. As a foodie, I enjoy discovering new cuisines and culinary experiences, blending adventure with gastronomy in unique ways.

Subjects

  • Docker Beginner-Expert

  • Kubernetes Beginner-Intermediate

  • FastAPI (Python) Beginner-Expert

  • Python 3 Beginner-Expert

  • Kubernetes Helm Beginner-Intermediate

Experience

  • Machine learning engineer (Nov, 2020–Present) at Aera Technology, Pune
    - Designing and implementing serverless components with notebook architecture to automate deployments of AI/ML inference & training applications or any software development complement as serverless function.

    - Solutioning and implementing distributed notebook architecture integration with AI workspace products as IDE

    - automation the process of Packaging and building code written in jupyter notebook and running inside kubernetes cluster of openFaaS serverless framework.

    - Implementing side-car and many design patterns to adapt robust system design practises
  • Software engineer (Jun, 2019–Nov, 2020) at Quantiphi Analytics Private Limited, Mumbai
    - Contributed in system architecture design and implementing various features to make AI Workspace or platfrom architecture cloud agonstic and generic to fit AI/ML inferencing and training use cases.

    - contributed in design, enhancement, enablement and development of active learning framework (AutoML framework for computer vision) for various use case like face Recognition and any computer vision problem in AI workspace

    - Responsible for building Smart Workflow pipelines to automate inferencing on multimedia data with the help of Django Microservices along with GCP and AWS by quickly analyzing, developing, and testing potential use cases for the business

    - Experience in implementing low-latency, high-availability, and performance applications which integrates AI/ML models

    - Worked on Metadata Framework in order to maintain the metadata which is been used for storing the metadata of video at frame levels and used for the communication between Process Pipeline-related Microservices.

Education

  • Computer engineering (Jun, 2015–Jun, 2019) from Rajiv Gandhi institute of technology, Mumbai

Fee details

    ₹1,000–200,000/hour (US$10.53–2105.04/hour)

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