Bishal Regmi

Senior/Lead Engineer in Data, Analytics & Generative AI

About Me

Bishal Regmi

Hello, I'm Bishal Regmi. I specialize in leveraging data, analytics, and generative AI to transform complex challenges into innovative solutions. With extensive experience leading teams and driving technology advancements, I'm passionate about enhancing operational efficiency and unlocking new opportunities through smart data strategies.

Education

Georgia Institute of Technology

Master’s of Science in Computer Science (Specialization in Machine Learning), Class of 2024

Ramapo College of New Jersey

Bachelor of Science in Computer Science (Summa Cum Laude) with a Minor in Mathematics, Class of 2018

Programming & Technical Skills

Languages: Python (Advanced), JavaScript (Intermediate), C/C++, Java, C#, HTML, CSS

Frameworks & Tools: Generative AI, Langchain, PySpark, Android, Node.js, Angular, Hadoop, TensorFlow, Keras, PyTorch, Terraform

Databases: Vector databases, Snowflake, SQL, MongoDB

Python JavaScript C/C++ Machine Learning Data Analytics Generative AI

Experience

Lead Generative AI Solutions Architect, Assistant Vice President

Neuberger Berman, New York, NY | Aug 2021 - Present

  • Led a team to build a firm-wide chatbot with Azure OpenAI and LangChain, adopted by over 3,000 employees.
  • Created customized document libraries and AI agents to streamline business operations.
  • Established a generative AI center of excellence to drive technology adoption across the organization.
  • Designed and implemented data onboarding and ETL processes to migrate data to Databricks and Snowflake, increasing processing speed by 25%.
  • Developed predictive models using scikit-learn and PySpark ML to enhance loan quality ranking and optimize investment assessments.
  • Engineered CI/CD pipelines using Terraform, Git, and Azure DevOps.

Senior Data Engineering Analyst

Accenture, New York, NY | Apr 2019 - Aug 2021

  • Designed ETL processes with AWS Glue and PySpark for efficient data integration in healthcare analytics.
  • Implemented statistical models in HQL and PySpark, reducing client costs through optimized analytics.
  • Led a team to refine PySpark ETL code, achieving a 25% runtime reduction.
  • Developed serverless APIs using AWS Lambda to facilitate data transformation and API communications.
  • Managed CI/CD pipeline creation with Jenkins, Terraform, and Git for seamless project delivery.

Big Data Engineer

Knowledgent (Acquired by Accenture), Warren, NJ | Jun 2018 - Apr 2019

  • Consulted on building an in-house rule engine for STARS measures to streamline healthcare analytics.
  • Developed a Unified Patient Record system to enhance data accessibility and accuracy.
  • Implemented statistical models using PySpark and AWS SageMaker for advanced predictive analytics.
  • Designed a production-ready architecture and managed CI/CD pipelines for healthcare analytics applications.

Research

Problets: Intelligent Tutors

Ramapo College of New Jersey | Jun 2017 - May 2018

  • Conducted data mining and clustering to identify student learning patterns.
  • Built a web server with MongoDB for managing and analyzing tutor logs.
  • Presented research findings at the 2nd CSEDM Workshop, Arizona State University, March 2019.

Publications

Regmi Bishal, Amruth N Kumar, "Analyzing Score and Time Trails in Data Collected by Tutors", presented at the 2nd Educational Data Mining in Computer Science Education (CSEDM) Workshop, March 2019.

Licenses & Certifications

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