Parixit Sanghani

Rochester, NY 585-***-**** ad4572@r.postjobfree.com https://www.linkedin.com/in/parixit-sanghani PROFESSIONAL SUMMARY

A versatile developer holding a Master’s degree in Computer Science acknowledged for strong collaborative abilities, and CS fun- damentals, and the capacity to deliver significant outcomes independently. Well-versed in full-stack development and cloud computing, skilled at producing meticulously documented, thoroughly tested, and operational code. Flourishes in collaborative environments, excelling at integrating various platforms and technologies to drive innovation and streamline processes. TECHNICAL SKILLS

Languages : Java, Python, JavaScript, TypeScript, C/C++, C#, SQL (Postgres, MS-SQL, MySQL), HTML, R, XML, JSON, CSS, PHP Frameworks : React.js, jQuery, Node.js, Flask, Django, Bootstrap DevOps and API Tools : Git, Docker, Kubernetes, Azure DevOps, Swagger, Postman Cloud and Security Tools : IBM Cloud, AWS, Azure Cloud, SQL Server, Linux (Configuring and Managing) Others : Data Modeling, Agile (Scrum/Kanban), Design Patterns, Debugging EXPERIENCE

Software Developer Co-op Amazon Robotics, Boston, USA. January 2023 - August 2023

– Configured and wrote complex backend API endpoints using Amazon’s coral framework, and AWS infrastructure.

– Worked lambda and lambda alarms on AWS cloud to increase the availability of backend services.

– Implemented a comprehensive AWS infrastructure encompassing VPN connectivity, EC2 instance deployment using CDK, and fine-grained firewall configurations to restrict access to Amazon Route 53, ensuring robust security measures and efficient resource management.

– Efficiently implemented indexing and query optimization techniques in DynamoDB to reduce latency in the system.

– Wrote integration and unit tests to reduce time for developers to build backend infrastructure to decrease development time. Got recognition in the internal Amazon for delivering code in the less time.

– Worked on CloudFormation, CloudWatch, Lambda, and various stacks of backend services. Implemented automation deployment using cloudFormation technology in TypeScript.

– Actively participated with scientists, addressing their queries, and providing efficient solutions to ensure a seamless experience while following Amazon’s Leadership principles. Software Developer Crest Data Systems, Ahmedabad, India August 2020 - October 2021

– Worked on the implementation of a log forwarder system, collecting the data from various GCP products, ingesting it into Chronicle UDM model, and seamlessly ingesting transformed logs into Google Chronicle via their REST API

– Developed a competitive analysis tool for Cisco, pivotal in enhancing 50% sales performance by enabling product comparison with competitor’s offering using React.js and Python.

– Engineered a real-time user interface with complex componenet in React.js, providing users instant access to comparative data by showing complex tabular format UI.

– Authored automation test cases using Cypress for Splunk’s observability and monitoring of web applications, enhancing bug-catching efficiently and significantly reducing development time. Software Developer Intern Crest Data Systems, Ahmedabad, India December 2019 - August 2020

– Collaborated with a team to seamlessly integrate Sophos platform API with the Kaseya VSA platform, facilitating enhanced functionality and interaction between systems.

– Designed and implemented API endpoints and a user-friendly interface UI to interact with Kaseya desktop, streamlining user experience and system usability with efficiency

– Played a pivotal role in debugging and resolving minor system bugs, refining debugging skills, and contributing to system stability

– Engineered job scheduler functionality to monitor APIs at defined intervals, ensuring system stability and performance.

– Design Front-end filter with an efficient algorithm to reduce UI response time with a large amount of tenant data. EDUCATION

Rochester Institute of Technology MS in Computer Science GPA : 3.56 January 2022 – May 2024 Birla Vishvakarma Mahavidyalaya B.Tech in Computer Engineering GPA : 7.89 August 2016 – May 2020 PROJECTS

Intrusion detection systems Neural Network, PyTorch, Pandas Dec 2023

– Designed the Intrusion Detection system using machine learning and deep learning algorithms to detect the anomaly activity in the systems.

– Used SVM, Random Forest, and Convolution Neural Network to build this security monitoring tool. Agricultural eCommerce and Consultancy node.js, HTML, CSS, C#, DialogFlow May 2020

– Designed and developed a trading platform for farmers to sell their products, and built chatbots to solve their day-to-day problem

Pneumonia detection systems Tesorflow, Kaggle November 2021

– Collaborated with team members to build Pneumonia detection systems using CNN, and SVM.

– Deploy various techniques and using python tools to visualize the result and use that visualization to improve the model accuracy.

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