Software Engineer Ci Cd

Siddhant Purohit

********.*******.****@*****.*** 425-***-**** Seattle, WA, USA

linkedin.com/in/siddhantpurohit github.com/Siddhant-0519 Education

University of California, Riverside

Master of Science in Computer Science (GPA: 3.5 / 4.0) Coursework: Big Data Management, Machine Learning, DBMS, Information Retrieval, Data Mining Techniques, AI, Advanced OS, Computer Architecture, Algorithms & DS Experience: Graduate Teaching Assistant (TA)

Riverside, CA, USA

Sep 2021- Mar 2023

Fall 2022

SRM Institute Of Science And Technology

Bachelor of Technology in Computer Science and Engineering (GPA: 3.7 / 4.0) Chennai, India 2016-2020

University Of California, Davis

Global Study Program in Computer Science (GPA: 3.6 / 4.0) Davis, CA, USA Fall 2018

Work Experience

Full Stack Engineer, Center For GeoSpacial Sciences - UC Riverside

• Led the integration of ChatGPT's Large Language Model (LLM) under the guidance of Dr Amr Magdy to enhance the automation of query processing, significantly improving the system's ability to accurately interpret and respond to complex user queries.

Apr 2023 - Sep 2023

• Developed and implemented a robust query processing mechanism, utilizing ChatGPT's function calling capabilities to streamline the selection of appropriate parameters and backend API calls, optimizing response time by 70% combines with a high-performing backend architecture with FastAPI for PySal regionalization modules, achieving a 81% increase in processing speed.

• Spearheaded the front-end development using ReactJS, delivering a user-friendly interface that facilitated seamless interaction with the speech-to-text module and backend functionalities.

• Conducted comprehensive testing ( 90% unit test coverage), resulting in 30% error rate reduction. Software Developer Intern, Monet Analytics

• Developed and implemented a multivariate optimization algorithm that incorporates facial expression analysis with about 95% accuracy combined with TikTok behavioral metrics to predict the performance of short videos on TikTok

Riverside, CA, USA

Jun 2022 - Sep 2022

• Improved the overall performance of the predictive analytics system from a baseline accuracy of 20% to 87% Software Engineer, Deloitte USI

• Designed, deployed and maintained highly available, scalable, and secure custom end-to-end cloud infrastructure solutions using IaaS with Terraform and other automation tools for Paas & SaaS on Microsoft Azure & AWS, including compute, storage, networking, and security services Hyderabad, India

Sep 2020 - Sep 2021

• Designed and deployed multi-cloud infrastructures that achieved a 99.99% SLA

• Created automation functions using PowerShell, Python, and other scripting languages to self-remediate, logging & monitoring cloud services and reduce operational overhead by 30%

• Communicate with cross-functional teams to set up Azure DevOps (ADO) and Git for CI/CD automation and version control to implement continuous integration and delivery (CI/CD) processes using Azure DevOps, Jenkins, and GitLab, which resulted in a 35% reduction in deployment time and a 20% boost in deployment frequency Software Engineer, Briskon Technologies

• Proficiently leveraged AWS services (EC2, Lambda, S3, RDS, DynamoDB, Cassandra) to design scalable cloud solutions, achieving a 30% reduction in infrastructure cost. Bangalore, India

Jun 2017 - Jul 2020

• Spearheaded optimization of python microservices by seamlessly integrating real-time data streaming capabilities through Apache Kafka allowing the system to handle substantial data flows with low latency, thereby enhancing data accessibility and analytics performance in critical business operations.

• Built and tested reproducible ETL pipelines and data analysis tools on AWS, leveraging Kubernetes for orchestration, which facilitated seamless data integration, enhanced analytical capabilities, and ensured robust, cost-effective infrastructural support for complex ML tasks and scalable data workloads.

• Successfully implemented CI/CD pipelines with AWS CodePipeline and CodeBuild,to significantly reduce deployment time. Technical Skills

Programming Languages: Python, Java, C++, C#, SQL, NoSQL, JavaScript Web Technologies : Azure, Git, CI/CD, HTML, CSS, Flask, React.js Tools & Platform : FastAPI, Terraform, Hadoop, Spark, OpenCV, MongoDB, Tableau, PyTorch, TensorFlow Projects

Onion Chain Chat App (React.JS, Web3, Ganache, Truffle suite)

• Spearheaded the development and demonstration of a fully anonymous and decentralized chat application for Ethereum-based blockchains by utilizing an optimized onion routing protocol ( message and token transmission) to achieve a 70% increase in transmission speed.

Dec 2022

Geo-Tagged Tweets Search Engine (Python, JavaScript, Hadoop, MongoDB, Flask)

• Engineered an end-to-end search engine optimized for collecting, indexing, storing and retrieving geo-tagged tweets, by leveraging the Twint API to successfully enhance search retrieval speed by 30% Mar 2022

Publication

'The YAN- Self Driven Car Using Deep Learning' published in the proceedings of the SCOPUS-indexed journal called International Journal of Applied Engineering Research.

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