Ashish Singh
Vice President - AIML Engineering
Bangalore
Summary
Highly skilled and results-driven Vice President with a decade of experience in AI/ML engineering, specializing in design and architecture of AIML engineering pipelines on cloud platforms. Proven expertise in developing MLOps and LLMops platforms for stable deployment of AIML solutions. Currently excelling in leadership at Morgan Stanley, contributing to the advancement of AI technology within the organization
Overview
11
11
years of professional experience
7
7
years of post-secondary education
Work History
Vice President - AIML Engineering
Morgan Stanley
01.2023 - Current
- Led an ML engineering and LLM engineering team at Morgan Stanley.
- Designed automated ML pipeline flow on cloud utilizing Databricks and Snowflake.
- Designed comprehensive MDLC (Machine Learning Development Lifecycle) process for AI and machine learning models on cloud infrastructure.
- Designed and implemented Azure DevOps CI/CD pipeline on cloud infrastructure.
- Designed and implemented an A/B testing framework for ML model testing.
- Developed an automated re-training pipeline for ML models.
- Fine-tuned an OpenAI embedding model ada002 using Morgan Stanley knowledge graph.
- Designed and implemented a Natural Language Query Engine using ChatGPT-4 API.
- Architected the technical design for the genai application.
- Designed and implemented an automated model risk management document system leveraging OpenAI ChatGPT-4 API.
- Designed and patented a generic framework for Machine Learning as a Service (MLaaS), revolutionizing accessibility and scalability in AI deployment.
Senior Manager ML Engineer
Morgan Stanley
01.2020 - 12.2022
- Led the design of cloud pipeline architecture flow as a senior ML engineer.
- Implemented a feature store in Databricks on Azure cloud to enhance data management.
- Designed and executed real-time and batch ML model influencing pipelines on cloud platforms for efficient processing.
- Evaluated and integrated ML model monitoring vendor DataRobot to enhance model performance tracking.
- Developed and implemented an ML model repository using MLFlow for efficient storage of model artifacts and objects.
- Created custom model monitoring libraries tailored for deep learning ML models to ensure comprehensive performance monitoring.
- Designed and executed the architecture migration of ML applications from Hadoop to cloud infrastructure, ensuring seamless transition and improved scalability.
Manager Data Engineer
Morgan Stanley
04.2017 - 12.2019
- Analyzed complex data and identified anomalies, trends and risks to provide useful insights to improve internal controls.
- Working as part of ML Engineering team to design and built ML solution.
- Developed and implemented ML pipeline on cloudera hadoop using hive, impala and spark sql.
- Developed Snowflake data pipeline on azure cloud using Dataiku.
- Developed ETL and ML pipeline on cloud using Databricks.
- Developed and implemented real time streaming data pipeline using spark streaming and kafka.
- Developed real time fraud analytics and Business activity monitoring machine learning solution in dataiku using spark and python recipes.
- Developed content & collaborative based recommender system using python and spark ML.
- Implemented devop's CICD pipeline.
Data Engineer
Hewlett Packard Enterprise
04.2016 - 02.2017
- Worked as part of Analytics and Data Management team and provided big-data driven solution.
- Design and built real time streaming ticketing system using kafka and spark streaming.
- Design learning platform for Big Data skill set.
- Conducted multiple blended learning sessions on Hadoop and Spark.
Data Engineer
IBM India
04.2013 - 03.2016
- Joined IBM as training and placement graduate and trained on Big Data Skills.
- Developed ingestion, pipeline and transformation layer on big data platform.
- Developed Venprod job scheduler for client DUNS and Bradstreet to automate all mainframe jobs.
- Developed Reporting application using Impala and tableau.
Education
Bachelor of Engineering - Electronics & Communications Engineering
MIET Gondia
Gondia 08.2008 - 05.2012
Associate of Science -
Birjlal Biyani Science College
Amravati 03.2006 - 03.2008
High School Diploma -
KHHS School
Khamgaon 03.2005 - 03.2006
Skills
Python
Accomplishments
- Received a patent for Distributed Machine Learning as a Service.
- Awarded the Excellence Award twice at Morgan Stanley, one for extraordinary performance in a quarter.
- Recognized as one of the most viewed writers on Quora.
- Coordinated and set problems for the annual technical/coding fest at my college.
Timeline
Vice President - AIML Engineering
Morgan Stanley
01.2023 - Current
Senior Manager ML Engineer
Morgan Stanley
01.2020 - 12.2022
Manager Data Engineer
Morgan Stanley
04.2017 - 12.2019
Data Engineer
Hewlett Packard Enterprise
04.2016 - 02.2017
Data Engineer
IBM India
04.2013 - 03.2016
Bachelor of Engineering - Electronics & Communications Engineering
MIET Gondia
08.2008 - 05.2012
Associate of Science -
Birjlal Biyani Science College
03.2006 - 03.2008
High School Diploma -
KHHS School
03.2005 - 03.2006
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