Prasanth Ravulapalli

Prasanth Ravulapalli  new_releases

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Senior Software Engineer
London, England, United Kingdom

Contact Prasanth regarding: 
Flexible work
Starting at USD12/hour

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Résumé


Jobs verified_user 13% verified
  • Raft
    Senior Software Engineer
    Raft
    Feb 2023 - Current (3 years 6 months)
    • Involved in architectural design discussions, code reviews, and perfor- mance optimization efforts, participating in the full software development lifecycle, ensuring that the software is robust, scalable, and maintainable. • Designed and developed a powerful low code framework that allowed users to construct custom workflow graph tailored to their specific needs with a wide range of possibilities. • Each node within the workflow could be customized which helps the prod- uct team curate complex business logics without bothering the develop- ment team. • This project is inspired from Apache Airflow, and hence implementing required a deep understanding of software architecture, graph theory, data modelling and a creative approach to buildin
  • C
    Senior Software Engineer
    Crypto Hedge Fund
    Aug 2022 - Feb 2023 (7 months)
    • Developed a new crypto and defi token price back-filling system in Python, which was deployed in Nomad pods. This system utilized Redis and a TimeSeries database to ensure persistent storage of data. • Enhanced stateful system for accelerated monthly accounting compu- tations, optimizing processing speed. Integrated Docker image caching to expedite monthly reconciliation by utilizing prior month’s responses, streamlining efficiency. • Furthermore, I played an integral role in adding numerous features to an internally used accounting platform and created a custom query language for the front desk team using django. • Utilized Terraform to orchestrate deployment of services on AWS, ensur- ing streamlined provisioning and efficient resource
  • Swiftly
    Senior Software Engineer, Co Founder
    Swiftly
    Jul 2021 - Aug 2022 (1 year 2 months)
    • Designed and implemented an efficient backend architecture leveraging Django, Node.JS, Lambda pipelines and Neo4j to reduce query times by 40x. • Deployed microservices on AWS Fargate for cost affective scalability and maintained fully automated process by leveraging terraform scripts and containerization. • Developed CI/CD pipelines for each environment using AWS Code- Pipeline. Successfully built reliable ETL pipelines dealing with millions of entries each month. • Built an all-encompassing ML model managing webpage forms, automat- ing data input and submission via streamlined pipelines. Simultaneously managed TensorFlow-driven ML deployment, integrating seamlessly for backend efficiency and pipeline optimization.
  • Creative Assembly
    Back End Programmer - Live Services
    Creative Assembly
    Jul 2019 - Jul 2021 (2 years 1 month)
    • Designed and developed core infrastructure to manage gaming traffic, integrating with various game platforms like Steam, PSN, PlayFab and NetEase. • Automated AWS resource deployment via cloud formation scripts, or- chestrating Docker containers and S3 buckets across 20 AWS accounts with 3 distinct environments each. Developed and adhered to a robust, intricate process for heightened efficiency. • Monitored key metrics and stats for game teams through Grafana to identify improvement opportunities. • To address instance spin-up delays due to build size, created an efficient data science solution used as a inputs for Terraform scripts. Managed EC2 resource scalability according to time of day for improved perfor- mance.
  • uDroppy
    Back End Software Engineer verified_user Verified experience
    uDroppy
    Nov 2018 - Jul 2019 (9 months)
    • Engaged in platform’s infrastructure enhancement using Node.js (Type- Script). Also, concentrated on data modeling and MongoDB schema maintenance. • Additionally, integrated payment gateways such as PayPal and Stripe to facilitate smooth payment processing. • Furthermore, contributed to data science model development, enhanc- ing user experience by identifying domain-specific products of interest to users. • Oversaw CI/CD Git pipelines, managed GCP, and Kubernetes clusters to optimize containerized deployments.
  • Conio
    Software Engineering, Intern
    Conio
    Apr 2018 - Jul 2018 (4 months)
    Worked on fetching all the data from Elastic DB(Kibana) which is projected by the data taken from Kafka queues. This fetched data is used to feed marketing tools like Intercom, Mixpanel. Used Docker and Jenkins pipeline to deploy the service in to production
  • Bloomberg
    Software Infrastructure Engineering, Intern
    Bloomberg
    Aug 2017 - Dec 2017 (5 months)
    Worked for the software infrastructure team, where we used C++14 to release libraries and tools for the internal teams to develop the components of Bloomberg applications. My tasks were focused on creating framework to develop worksheets and evaluate formulas of the table views.
  • HackerRank
    Challenge Curator
    HackerRank
    Feb 2015 - Sep 2016 (1 year 8 months)
    Developed high-quality, creative programming challenges involving various Computer Science concepts. Writing comprehensive editorials and tutorials for an ever-growing community of over 200,000 active users. Part of expanding HackerRank suite of industry-leading online tools for creating code challenges and contests in topics such as front-end development, machine learning, mobile development, etc.
Education verified_user 0% verified
  • Politecnico Di Milano
    Masters of Science
    Politecnico Di Milano
    Sep 2016 - Sep 2019 (3 years 1 month)
  • Amrita University
    Bachelor of Science
    Amrita University
    Jul 2010 - May 2014 (3 years 11 months)
Projects (professional or personal) verified_user 0% verified
  • Politecnico Di Milano
    Parallel parsing made practical
    Politecnico Di Milano
    Mar 2018 - Jun 2019 (1 year 4 months)
    - The property of local parsability allows to parse inputs through inspecting only a bounded- length string around the current token. This in turn enables the construction of a scalable, data-parallel parsing algorithm, which is presented in this work.
  • k
    kenify
    Mar 2018 - Current (8 years 5 months)
    - Developing the web app using Django and Flask frameworks accordingly, handling the logical part of react app, maintaining them on Google cloud servers, maintaining different databases (non relational and graph), scrapers and queuing infrastructure.
Awards verified_user 0% verified
  • Bending Spoons
    CodeFlows 2018
    Bending Spoons
    Apr 2019
  • Bloomberg
    CodeCon 2018
    Bloomberg
    Nov 2018
  • ACM ICPC
    International Collegiate Programming Contest ICPC
    SWERC 2016
    ACM ICPC, International Collegiate Programming Contest ICPC
    Nov 2016