Prakshi Yadav Email and Phone Number
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Innovation is the only way to win.My technical background involves designing application architectures to build a bridge between business requirements and technical requirements at Episource. Designing architectures to optimize common quality attributes such as flexibility, scalability, security, and manageability. Having a DevOps background helps in ensuring best DevOps practices to be followed for the projects. Provide cloud-based solutions with experience over Amazon Web Services for more than 6 years. Specialties: AWS Cloud, Serverless Computing, Linux, and Python language, Docker, Ansible, Apache Spark, flexibility and multi-tasking.Spoken at multiple international and national conferences like FOSSASIA, EuroPython, PyCon India, Hashi talks.Write about architecture on medium - https://prakshiyadav.medium.com/
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Co-Founder And Head Of EngineeringCuriflowMumbai, Mh, In -
Co-Founder & Head Of EngineeringCuriflow Jun 2024 - PresentWe help ambitious teams build their first AI co-worker -
Lead Data EngineerOptum Feb 2023 - Jun 2024Eden Prairie , Mn, Us -
Lead Data EngineerEpisource Apr 2023 - Sep 2023Gardena, Ca, Us -
Senior Data Engineer IiEpisource Apr 2022 - Apr 2023Gardena, Ca, Us -
Senior Data Engineer IEpisource Apr 2021 - Mar 2022Gardena, Ca, Us- Building MLOps at Episource- Leading a team of 4 smart engineers -
Data Engineer IiiEpisource May 2020 - Apr 2021Gardena, Ca, Us- Build Datawarehouse- MLFlow integration for experiment tracking and jobs logging in the test environment- Design for Cost saving of AWS resources- Automated ML Models version tracking- Build API Driven architecture- Github actions for automating repetitive tasks and making developers life easy- A shift to Infrastructure as code -
Data Engineer IiEpisource Apr 2019 - May 2020Gardena, Ca, Us- Building Data Processing DAGs around Airflow- Optimizations with RDDs in pyspark jobs- Pyspark Dataframe VS RDD job fits- Enable EC2 resources handling using slack for easy team access- Build Scalable, event-driven pipeline around Celery for distributed processing- UI to roll out CRUD for dynamo table for the team without giving aws resource direct access -
Data Engineer IEpisource Jun 2018 - Mar 2019Gardena, Ca, Us- Developed Data Processing pipeline around Apache Spark for distributed processing- Design an automated test environment for the team to test their changes using AWS EMR- Set up CI/CD across repositories using Travis CI- Automate Machine Learning training model runs with monitoring tracking through Tensorboard- Design and developed API serving architecture with AWS ECS, API Gateway- Set up CI/CD for Automate rolling of API version integrated with Github repositories. -
Devops InternEpisource Jan 2018 - Jun 2018Gardena, Ca, UsSemester-long internship at Episource involved building secured and scalable data handling pipelines. - Designed and deployed an event-driven cluster computing architecture all over Amazon Web Services for implementing a completely cloud-based Big data solution.- Architectures designed for cost minimization and appropriate resource utilization.- Also handled best DevOps practices for the projects at the company.- Major projects done during this internship were over Apache Spark, various AWS Services like EMR, S3, Lambda, DynamoDB, and tools like Travis CI, Ansible. -
Data Engineer InstructorGreyatom School Of Data Science Jul 2018 - Dec 2019Mumbai, Maharashtra, InContributing to DE community by guiding students in the field of Data Engineering -
Devops InternEpisource Llc May 2017 - Jul 2017Gardena, Ca, UsMy work as 2-month Intern at Episource, Mumbai was majorly on building serverless platforms. - Automating Git Pipeline with the use of GitHub Events and AWS Lambda.- Application containerization with Amazon EC2 Container Service and Automating Deployment with the use of Amazon Lambda.Worked with AWS Services: - Lambda, EC2, CloudWatch, ECS, S3, Config, SNS, VPC, ELB, API Gateway.Other tools: -Docker, Ansible, Grafana and Git.Also wrote two blogs, sharing the knowledge I acquired under the Episource Team. Links:- -
Devops InternXenonstack- A Stack Innovator Dec 2016 - Jan 2017Plano, Tx, UsWorked on Serverless Computing.After analyzing the functioning of AWS lambda, Zappa and FaaS, successfully devised a demo to serve as a Serverless Architecture for applications.Studied the concept of Microservices to design event triggered applications.My demo included:-1. Building Serverless Microservices with Python2. Building Serverless Microservices with Java3. Advantages of going Serverless4. Migrate a microservice architecture to Serverless platform.Serverless Computing: The Future of Cloud!Below provided links outlines the job done by me under company's guidance.Also, wrote Dockerfiles as per company's requirement. -
SecetaryIeee Student Branch (Women In Engineering) Apr 2015 - Jul 2016
Prakshi Yadav Skills
Prakshi Yadav Education Details
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The Lnm Institute Of Information TechnologyCloud Computing -
Army School, NasirabadHigh School
Frequently Asked Questions about Prakshi Yadav
What company does Prakshi Yadav work for?
Prakshi Yadav works for Curiflow
What is Prakshi Yadav's role at the current company?
Prakshi Yadav's current role is Co-Founder and Head of Engineering.
What is Prakshi Yadav's email address?
Prakshi Yadav's email address is yp****@****ail.com
What schools did Prakshi Yadav attend?
Prakshi Yadav attended The Lnm Institute Of Information Technology, Army School, Nasirabad.
What are some of Prakshi Yadav's interests?
Prakshi Yadav has interest in Politics, Science And Technology, Education.
What skills is Prakshi Yadav known for?
Prakshi Yadav has skills like C, Electronics, Programming, Matlab, Microsoft Office, Windows, C++, Electrical Engineering, Embedded Systems, Vhdl, Microsoft Excel, Html.
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