Senior / Lead Engineer / New York

Bishal
Regmi.

Data, analytics & generative AI

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.

Portrait of Bishal Regmi
Data, analytics, and useful technology.
01 / Experience02 / Education03 / SkillsScroll to explore

01 / Experience

The work, over
the years.

  1. Aug 2021 — Present

    Lead Generative AI Solutions Architect, Assistant Vice President

    Neuberger Berman · New York, NY

    • 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.
  2. Apr 2019 — Aug 2021

    Senior Data Engineering Analyst

    Accenture · New York, NY

    • 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.
  3. Jun 2018 — Apr 2019

    Big Data Engineer

    Knowledgent (Acquired by Accenture) · Warren, NJ

    • 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.

02 / Education

A foundation for
what comes next.

Class of 2024

Georgia Institute of Technology

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

Class of 2018

Ramapo College of New Jersey

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

03 / Toolkit

The tools behind
the work.

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

04 / Credentials

Always
learning.

  • Deep Learning Specialization Coursera · May 2020
  • AWS Machine Learning – Specialty Amazon Web Services
  • AWS Cloud Practitioner Amazon Web Services
  • AWS Developer – Associate Amazon Web Services

05 / Say hello

Let's
connect.

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