Shashank Tripathi

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With over 7 years of expertise in full-stack development, CI/CD, cloud infrastructure, machine learning, data engineering & visualization, and automation, I hold a Master's degree in Computer Science from the University of Illinois at Springfield.

About Me

Hi, I’m Shashank Tripathi, a Master’s graduate in Computer Science from the University of Illinois. With over seven years of hands-on experience as a Software Engineer, I specialize in designing, developing, and deploying scalable software solutions and infrastructure systems.

My technical expertise covers a wide range of tools and technologies, including Python, Ruby on Rails, Vue.js, JavaScript, and shell scripting, with a strong emphasis on cloud platforms like AWS. I have extensive experience managing databases, particularly PostgreSQL and MongoDB, and am adept at working within Agile teams to build robust, scalable systems.

I excel at implementing comprehensive CI/CD pipelines, leveraging Docker for containerization, and developing both monolithic and microservices architectures. I’m also skilled at creating efficient alerting and monitoring systems to ensure system reliability and performance.

Driven by a passion for innovation and problem-solving, I’m committed to continuously improving my technical skills and delivering excellence in software engineering and data science.

Experiences

Jan 2023 - Present

University of Illinois, Information Technology Service

Software Engineer - Graduate Assistant

• Developed and deployed Dockerized Laravel app (Vue.js, MySQL, Docker) for global event scheduling, boosting scheduling meetings by 25% and optimizing advisor availability through improved accessibility and timezone management.
• Automated deployment & infrastructure setup with Shell Scripting, reducing avoid configuration errors and manual workload 40%.

May 2023 - July 2023

Illinois Department of Innovation and Technology

Data Engineer Intern

• Spearheaded end-to-end development and maintenance of scalable ETL pipelines using Python and SQL, automating data ingestion and transformation from diverse sources into a centralized Power BI dashboard. Resulted in the elimination of manual processing for the procurement team and facilitated real-time tracking and visualization of processes.
• Partnered cross-functionally to gather data requirements, enhance database performance, and implement rigorous data quality checks. Delivered actionable insights through data visualization, boosting data accuracy and consistency by 20% for informed decision-making.

Oct 2019 - Aug 2022

Seanergy Digital Services

Software Software Engineer

• Enhanced patient care by crafting a unified portal, boosting accessibility and efficiency 30% for clinics and support teams. Crafted with Ruby on Rails, MongoDB, DynamoDB, and AWS Lambda microservices for scalability and security.
• Architected secure and efficient data (medical records) import pipeline with 25% faster processing using AWS Lambda, Ruby on Rails, ETL and Redis. Enforced PHI anonymization for compliance, leveraging cron jobs for streamlined data ingestion.
• Revolutionized Population Insights module (Ruby on Rails, MongoDB, JavaScript, HTML, CSS, Docker) for 20% critical data visibility boost and 20% usability improvement, empowering healthcare professionals with efficient access.

Oct 2018 - Oct 2019

Healthcare At Home

Software Engineer

• Designed and launched marketing campaign portal (Ruby on Rails, MongoDB, Mailchimp, Redis, Sidekiq) with optimized user consent and account creation, boosting platform signups by 15%.
• Built a scalable payment infrastructure (Ruby on Rails, MongoDB, JavaScript) with integrated payment gateways (Paytm, CCAvenue) for seamless self-service invoices and online payments, resulting in a 20% uplift in timely payments.

Jan 2016 - Oct 2018

Mobiloitte technologies

Software Engineer

• Architected and deployed advanced sales analytics dashboard (Python, PostgreSQL, JavaScript, CSS, HTML) with AWS cloud integration (EC2, S3, Lambda) for 25% improvement in data-driven insights and revenue growth.
• Implemented a scalable live streaming platform with real-time audience engagement features (Wowza, Wirecast, WebSocket, Ruby on Rails, Sidekiq, Redis, Google Firebase) and cloud infrastructure (AWS EC2, S3) exceeding user engagement targets by 30%.

Sept 2015 - Dec 2015

Software Engineer Intern

• Designed and implemented an internal employee and project management tool using Python, Django, PostgreSQL, AWS EC2, S3, Redis, and Sidekiq. Enhanced trackability and productivity by monitoring attendance, project assignments, reporting structures, and project progress.

Project