AI/ML Engineer · Software Developer

Building intelligent systems from data pipelines to production ML.

Cloud data engineering, machine learning, LLM/NLP, computer vision, and enterprise software — across AWS and Azure.

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About

AI/ML engineer and software developer with experience spanning cloud data engineering, machine learning, LLM/NLP applications, generative AI, computer vision, and enterprise software development. Hands-on experience building data pipelines and AI solutions across AWS and Azure, deploying machine learning models, automating financial workflows, and developing AI-driven applications for healthcare and HR systems.

Certifications

  • AWS Certified Data Engineer — Associate
  • AWS Certified Machine Learning Engineer — Associate

Skills

Languages & Data

  • Python
  • SQL
  • Advanced SQL
  • ETL
  • Data engineering
  • Data modeling
  • Data analysis
  • Data pipelines

AI & Machine Learning

  • Machine Learning
  • Generative AI
  • LLMs
  • NLP
  • Computer vision
  • Image analysis
  • Sentiment analysis
  • Model deployment

Cloud & Platforms

  • AWS
  • Azure
  • Azure Machine Learning
  • Azure AI
  • AWS SageMaker
  • AWS Athena
  • Snowflake
  • SQL Server
  • Informatica Cloud
  • Power BI

Software & Tools

  • Git
  • Bitbucket
  • Jira
  • Confluence
  • SCCM
  • Active Directory
  • Jamf
  • Snipe-IT
  • Postman

Experience

  1. Developer

    Holman

    • Develop and maintain software solutions in an enterprise environment.
    • Apply software engineering, cloud, data, and AI capabilities to business applications.

  2. AI Data Scientist

    Resolution Life

    • Built a robust data codebase to improve reliability, efficiency, latency, and quality across ETL and analytics workflows.
    • Led 70-million-asset selection and LAT projects using advanced SQL, Snowflake, SQL Server, and Informatica Cloud.
    • Developed and deployed ML models with Python, Azure ML Studio, and Azure AI for asset selection and financial analytics.
    • Built PoC AI solutions for reinsurance treaties and LLM-based customer representative on AWS SageMaker with NLP and sentiment analysis.
    • Automated financial report generation with Python and AWS Athena, saving ~50 hours per quarter.
    • Built daily PDF financial-rate extraction and AWS ETL pipeline into the data lake; supported end-to-end testing and production model deployment.

  3. Cancer Imaging using AI

    Drexel University · CCI

    • Worked with cancer-imaging datasets and developed algorithms for different cancer types.
    • Contributed to AI-driven MRI image processing and analysis using Python and Azure AI.
    • Developed image-analysis approaches for AI-assisted cancer symptom prediction; contributed to research publications.

  4. Software Developer & Technology Coordinator

    Acclaim Autism

    • Developed cloud-based AWS environments and HR software with geolocation via AWS and Google Workspace.
    • Integrated HelloSign API and supported web/mobile UI/UX design.
    • Implemented AI-driven HR automation: auto-scheduling and automated background checks.
    • Established device onboarding, VPN, antivirus, security, and remote support for clinical staff.

  5. IT Specialist

    Drexel University · CCI

    • Configured faculty, staff, and student devices with SCCM, Active Directory, and Jamf.
    • Managed hardware assets with Snipe-IT; advanced software and hardware troubleshooting.
    • Supported video conferencing, helpdesk, ticketing, licensing, and encryption issues.

Education

  • M.S. Artificial Intelligence and Machine Learning

    Drexel University School of Computer and Information Sciences

  • B.S. Data Science, Management & Information Systems, Software Engineering

    Drexel University

Contact

Open to roles in AI/ML engineering, data engineering, and full-stack product work. Reach out anytime.

Email monishbarot@hotmail.com LinkedIn linkedin.com/in/monishbarot GitHub github.com/PRO-Spirit