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jobs
Machine Learning Software Engineer
Aayush Saxena
,
London, United Kingdom
Experience
Other titles
Skills
I'm offering
Curious mind, an AI Enthusiast having knowledge in multiple fields (Data Science | Software | Devops) with ability to upskill rapidly. Creative, adaptable with particular interest in Machine Learning and its applications in NLP and dialogue systems. Highly motivated to learn, apply and bring various creative ideas to real world applications.
Markets
United Kingdom
Links for more
Once you have created a company account and a job, you can access the profiles links.
Language
English
Fluently
Ready for
Larger project
Ongoing relation / part-time
Full time contractor
Available
My experience
2020 - ?
job
Software Engineer
Arabesque.
Tech being used: GCP, Kubernetes, Argo workflows, Elasticsearch, React, GraphQl, Firebase, Psql, Python, FastApi, Api Gateway
- Work involves building and monitoring various daily data pipelines in live environments.
- Building features for webapp that includes both frontend & backend work using React, GraphQl & Python.
- Design and build infrastructure on GCP comprising serverless tech as well as GKE cluster.
- Used Argo workflows for managing and scheduling Kubernetes jobs.
- Built a custom CLI for automating experimentation and deployment of portfolios at scale.
- Built Apis using FastApi framework for portfolio construction & analytics and deployed to Cloud Run.
- Deployed Apis under Api Gateway enabled with Oath2 authentication for public access.
- Built CI/CD and IaC systems using cloud build and deployment manager respectively.
- Optimized compute resources usages following Kubernetes best practices.
- Wrote Elasticsearch queries to save & fetch portfolio & other financial data needed for webapp.
- Work involves building and monitoring various daily data pipelines in live environments.
- Building features for webapp that includes both frontend & backend work using React, GraphQl & Python.
- Design and build infrastructure on GCP comprising serverless tech as well as GKE cluster.
- Used Argo workflows for managing and scheduling Kubernetes jobs.
- Built a custom CLI for automating experimentation and deployment of portfolios at scale.
- Built Apis using FastApi framework for portfolio construction & analytics and deployed to Cloud Run.
- Deployed Apis under Api Gateway enabled with Oath2 authentication for public access.
- Built CI/CD and IaC systems using cloud build and deployment manager respectively.
- Optimized compute resources usages following Kubernetes best practices.
- Wrote Elasticsearch queries to save & fetch portfolio & other financial data needed for webapp.
Software development, Javascript, Node.js, Graphql, Google Cloud Platform, Google cloud, Kubernetes, Elasticsearch, ReactJs, Firebase, Python, DevOps, Data processing, Data engineering
2018 - 2020
job
MACHINE LEARNING SOFTWARE ENGINEER
FRACTAL-LABS.
Tech being used: NLP, LSTM, Keras, NLTK, Sklearn, Cassandra, Java, Docker, React, AWS, Fargate, Terraform
• Built and tuned transaction categorization deep learning model from scratch and successfully
• Also, built pipeline for re-categorization where user can modify the categories from frontend.
• Developed a NLP model to extract merchant name from transaction descriptions.
• Completed backend (Java), frontend (React) Jira tickets involving bug fixing, & new features.
• Built AWS Lambda function to download user banking data and save into Cassandra database.
Also, built CI/CD system for the deployment of lambda on different environments.
• Built & deployed Forecasting & Categorization docker containers to AWS Fargate.
• Building multiple services on Fargate with service discovery & auto scaling feature in Terraform.
• Building a model to reconcile the banking data (from openbanking) & accounting data (Xero).
• Transformed rule based chatbot to data driven ML based by building NLU & finite state machine.
• Built and tuned transaction categorization deep learning model from scratch and successfully
• Also, built pipeline for re-categorization where user can modify the categories from frontend.
• Developed a NLP model to extract merchant name from transaction descriptions.
• Completed backend (Java), frontend (React) Jira tickets involving bug fixing, & new features.
• Built AWS Lambda function to download user banking data and save into Cassandra database.
Also, built CI/CD system for the deployment of lambda on different environments.
• Built & deployed Forecasting & Categorization docker containers to AWS Fargate.
• Building multiple services on Fargate with service discovery & auto scaling feature in Terraform.
• Building a model to reconcile the banking data (from openbanking) & accounting data (Xero).
• Transformed rule based chatbot to data driven ML based by building NLU & finite state machine.
Service, Xero, Production, Feature, Chatbot, Cassandra, Keras, Software, NLP, Deployment, Banking, Java, Forecasting, Deep learning, Jira, Database, Docker, AWS, Machine learning, React, Frontend, Backend
My education
2017
-
2018
QUEEN MARY UNIVERSITY OF LONDON
MSc, Big Data Science
MSc, Big Data Science
2008
-
2013
BIRLA INSTITUTE OF TECHNOLOGY AND SCIENCE, PILANI, INDIA
MSC. MATHEMATICS & B.E CIVIL ENGINEERING, N/a
MSC. MATHEMATICS & B.E CIVIL ENGINEERING, N/a
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