MUKESH KUMAR
Pune
Summary
Experienced Product Development Engineer with over 7 years of experience in Software/Product development. Excellent reputation for resolving problems and improving customer satisfaction. Carrying experience on Python development, Web Development Frameworks Flask/Fast API/Django) and Data Engineering Pandas, NumPy, Pyspark, Azure Date Engineering) along with implementation of Supervised & Unsupervised Machine learning Algorithms Linear & Logistic regression, KNN Algorithm, Random Forest, K-means, SVM , Bagging & Boosting Techniques) , NLP Model & Data visualisation with GenAI Experience(LLM Developer & Prompt Engineering).
Overview
7
7
years of professional experience
1
1
Certification
Work History
Sr Product Development Head
BNY, Bank of New York
Pune
02.2022 - Current
- Lead the design and development of Finchat Generative AI application) along with prompt refinement to convert Users Questions into production level SQL queries
- Worked as single point of ownership for creating multiple data pipelines to ingest data in finance data lake from multiple data sources using Pyspark and Hadoop
- Successfully lead the initiatives and deployments to onboard Airflow to BNY and provided airflow as a services to multiple business Units inside organisation
- Working closely with BNY CIO office on multiple Process automation using
- GenAI, UI Path and data pipelines.
Product Development Engineer
Société Générale Bank Bengaluru
02.2019 - 02.2022
- Lead entire Project and deliverables on NAV Justification of Multiple Mutual funds using Machine learning Classifier
- Designed Data Pipelines in Airflow for data reconciliation Mechanism
- Design, Developed and Deployed Multiple Airflow Orchestration Jobs using containerisation on Docker, Kubernetes, Jenkins
- Have designed and Deployed multiple Rabbit MQ Instances using AMQP Protocol in multiple containers
- Currently Leading multiple Initiatives in Societe Generale and developed GP
- Product for Retail trading Platform for Fin tech Industries
- Worked on Creating Data Pipeline for NLP Model Rasa ML Model.
AI developer
Accenture R&D Lab Bengaluru
08.2017 - 02.2019
- Worked on Product migration from SAS to Python which includes all ML Feature
- Data streamline Process, APIs for Upstream and Downstream Applications
- Designed and Developed Custom NLP Model on python and Spacy to Segregate incoming User Ticket with confidence Score for IT Infrastructure and has given output to downstream application
- Designed and developed python models and libraries to create platform and pipeline to run different analytics code using Data brick , Dask and Pandas on
- Python
- Create Rest API interface using Django and utilised MongoDB
- Developed
- Contract Reading VA in Python with integration of IBM Discovery AI Services
- Which of your achievements match the job you’re applying to?
Education
Bachelor of Engineering (BE) - Information Technology
National Institute of Technology
05.2017
Skills
- Python
- Flask
- Fast API
- Pandas
- Numpy
- Dask
- Azure Data Engineering
- Pyspark
- Hadoop
- Airflow
- MS SQL
- Snowflake
- Azure DataBricks
- Azure Data Factory
- Data Science Machine Learning
- Supervised/unsupervised Learning
Certification
Certified Data Scientist from UC San Diego, California.
Timeline
Sr Product Development Head
BNY, Bank of New York
02.2022 - Current
Product Development Engineer
Société Générale Bank Bengaluru
02.2019 - 02.2022
AI developer
Accenture R&D Lab Bengaluru
08.2017 - 02.2019
Bachelor of Engineering (BE) - Information Technology
National Institute of Technology