Pravesh Humane

About Pravesh Humane

Currently I am working for ‘IBM Watsonx - Governance’ at IBM Silicon Valley Lab.I specialize in AI Governance, AgentOPS, QA, Infrastructure as Code to solve industrial problems and optimize businesses. I love to work in organizations that have a diverse, collaborative and rewarding culture.Outside work, I like hiking, biking, photographing landscapes, people and architecture.Few phenomena that fascinates me are human evolution, black holes and formation of the Universe.

Experience

1. Software Engineer

   IBM

   Apr 2019 — Present · San Francisco, CA, US

   Working for IBM Watsonx Governance, a key component of IBM Watsonx AI. Watsonx Governance is a comprehensive solution designed for managing and governing AI models and Prompt Templates. It provides tools for: Data Governance, Model Governance, Compliance, and Risk Management.* Validate the lifecycle of AI models, and Prompt Templates including their development, deployment, and monitoring. This lifecycle provides model health metrics, generative AI metrics and raises automatic alerts when model monitor thresholds drop (e.g, quality, drift, explainability, etc.).* Automate end-to-end workflows for new features and integrate them into existing pipelines to validate services across both SaaS (cloud) and on-prem environments.* Conduct end-to-end integration testing for Watsonx Governance by integrating with Watson OpenScale and IBM OpenPages components. Perform QA sign-off for each release to ensure smooth transitions from development to production.* Review automation reports on weekly builds and identify gaps to expand the test framework to optimize coverage, and maintainability.* Conduct Smoke and Regression Tests on every release build to validate new functionalities and existing services.* Engage in product design discussions, analyze Figma designs and strategy documents to draft test plans, establish QA best practices, and enable feedback loop with Dev-QA.* Run validation tests for the AI Governance SDK client.* Execute, validate, and automate REST APIs.* Engage in customer-facing technical discussions, resolve issues through IBM-wide support channels, and mentor junior engineers.

Education

• Guru Ghasidas University

  Bachelor's Degree, Computer Science

  2009 — 2013

• Veermata Jijabai Technological Institute (VJTI)

  Master’s Degree, Computer Engineering

  2013 — 2015

• University of Illinois Urbana-Champaign

  Master of Science - MS, Information Management (Data Science track)

  2017 — 2018

Skills

• Virtualization
• Statistics
• Predictive Analytics
• Data Science
• Xml
• Predictive Modeling
• Hadoop
• Storage
• C#
• Keras
• Data Visualization
• Storage Area Network (San)
• Microsoft Excel
• Regular Expressions
• Algorithms
• Sql
• Machine Learning
• Networking
• Network Programming
• Tensorflow
• Data Structures
• Data Mining
• Deep Learning
• Cloud Computing
• Data Analytics
• R
• Amazon Web Services (Aws)
• Statistical Analysis
• Operating Systems
• Microsoft Office
• Hypervisor
• Tableau
• Statistical Modeling
• Data Analysis
• Python
• Data Warehousing
• Big Data
• C
• Programming
• Javascript