Software Developer

Janushi Shastri

Email: ad61e5@r.postjobfree.com LinkedIn: https://www.linkedin.com/in/janushi-shastri/

Phone: +1-303-***-**** GitHub: https://github.com/JanushiShastri Education

University of Colorado Boulder, Boulder, USA August 2022 - May 2024 Master of Science in Computer Science GPA: 3.82/4.0 Courses: Big Data Architecture, Software Engineering, Distributed Systems, Machine Learning, Design and Analysis of Algorithms, NLP. Charotar University of Science and Technology, Anand, India July 2018 - April 2022 Bachelor of Technology in Computer Science & Engineering GPA: 9.2/10.0 Courses: Operating Systems, Database Management System, Computer Organization, Data Structures and Algorithms, Advanced Java Programming, Computer Networks, Object Oriented Programming, Linux Administration. Skills

Languages: Python, Java, C/C++, JavaScript, PHP, HTML/CSS, Tailwind CSS, Golang. Frameworks: React.js, Vue.js, Flask, Django, Laravel, SpringBoot, REST, gRPC, GraphQL. Cloud Services: AWS (Lambda, DynamoDB, API Gateway, EC2, S3, VPC, CDN.) Database: MySQL, PostgreSQL, SQLite, Firebase, Redis. Tools & Tech: GIT, Docker, Node.js, Vite, Redux, Agile Methodologies, Nginx, Apache Tomcat, GitHub Actions, Kafka, Jenkins, Jest. Experience

Software Developer Rule4 (Boulder, CO) August 2023 - April 2024

• Integrated Vue.js into a Django application to enable Client-Side Rendering, enhancing the application’s interactivity and user experience. Migrated the employee time capture section, utilizing quasar, Ag Grid, Webpack, and Pinia, resulting in 25% more responsive and dynamic interface.

• Developed a backend service in Go to aggregate chat data from Slack and meeting details from Google Calendar. Implemented Kafka for efficient message streaming, reducing server load by 20% and ensuring real-time data processing.

• Improved efficiency of time entry for the consultancy by suggesting timesheet entries based on aggregated data from Slack and Google Calendar, leading to more accurate billing and streamlined employee workflows.

• Developed scalable architecture for future service integration and data synchronization while managing the project using Jira, focusing on agile practices for flexible time tracking solutions. Python Developer CIRES (CO, USA) May 2023 - December 2023

• Collaborated on an NSF-funded Macrosystem project analyzing drought, wildfire, and beetle attack impacts on forest resilience in the West for a 1 month span.

• Spearheaded the development and dockerization of a Python sensor calibration tool, using NEON API in CyVerse, resulting in a 50% improvement in aerial data scaling and a 30% increase in environmental analysis precision. Geospatial Software Developer Intern ISRO (Ahmedabad, India) December 2021 - May 2022

• Orchestrated a research project on snow cover albedo remote sensing, uncovering vital climatic impacts by rectifying radiometric, atmospheric, and topographic constraints of 2 year span data.

• Processed 20K+ RGB images from AWiFS and Landsat8 sensors with ENVI and ArcGIS, reducing scattering and absorption effects, and used linear regression for snow albedo analysis (0.7-0.8), identifying key snow-covered areas. Projects

Amazon Price Tracker (Software Development, Database Management) May 2023

• Pioneered a Vue.js SPA with a Flask backend using REST APIs for real time Amazon price tracking, integrating Firebase for secure user authentication and MySQL for efficient data storage.

• Implemented automated notifications using cron jobs every 3 hours to monitor and alert users on price drops, enhancing customer engagement by regularly updating users on potential savings.

• Deployed on AWS EC2 with a CI/CD pipeline, utilizing Python’s unittest for robust testing. Incorporated Prometheus and Grafana for advanced monitoring, which enhanced request-response tracking and reduced deployment times by 25%. Budget Based Trip Planner (Software Engineering, Deep Learning) March 2023

• Engineered a trip planning SPA using Vue.js, integrating Google Maps and Weather APIs for live location and weather updates. Improved user interaction with interactive drag and drop itinerary planner, allowing customization from 10 daily recommended activities tailored to users’ budgets and preferences.

• Optimized backend infrastructure on AWS EC2 and S3 with Flask and Redis caching, utilizing load balancing and auto scaling to improve efficiency. Reduced deployment times by 15% through a streamlined CI/CD pipeline via GitHub Actions. Certifications

• AWS Certified Developer – Associate September 2023 Publication

Published an IEEE paper ”Detection of Different Types of Blood Cells: A Comparative Analysis” based on YOLO, RCNN, Faster RCNN, RFCN, and SSD in June 2022. DOI:10.1109/ICDCECE53908.2022.9793132 Honors and Awards

Amazon Price Tracker - Best Project Award for impactful presentation and significant user adoption. AWS JAM Hackathon - Ranked in the top 6, showcasing innovation with AWS technologies.

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