Senior Software Engineer, Slique Robotics, Bengaluru, India.

May 2025 – August 2025
Built and scaled Devland Academy, a next-gen Learning Management System (LMS) for global learners and educators.

● Spearheaded the architecture and full-stack development of Devland Academy, serving 500+ first users and supporting rapid expansion.
● Led backend engineering with Node.js/Express and cloud deployment on AWS (EC2, RDS, S3), integrating MongoDB and PostgreSQL for reliable data storage.
● Engineered robust authentication (JWT/cookies), course management workflows, real-time learner dashboards, and advanced tracking features.
● Developed the frontend (React, Tailwind CSS, Vite) with optimized UI and performance, cutting page load time by 50% and increasing Lighthouse scores by 35%.
● Set up CI/CD with Docker and GitHub Actions, improving release frequency by 40% and reducing deployment incidents.
● Designed multi-role access (Admin, Instructor, Learner) and streamlined operational flows, enhancing platform efficiency by 60%.
● Achieved 99.99% uptime during peak periods with autoscaling, load balancing, and rigorous health checks.
● Mentored a team of 3 engineers through agile sprints, sprint planning, and MVP delivery within challenging timelines.
● Collaborated across functions to integrate user feedback, scale API endpoints, and deliver MVP within 10 weeks.
Tech Stack: React, JavaScript, Node.js, Express.js, AWS (EC2, RDS, S3), MongoDB, PostgreSQL, Docker, Tailwind CSS, Vite, GitHub Actions

Software Engineer Intern, Oak Street Health, Chicago, USA.

June 2023 – August 2023
● Migrated a multi-page web app to a React single page application, boosting customer engagement by 10% and improving core user journeys.
● Spearheaded the transition to React.js and optimized frontend workflows, resulting in 40% better user experience and faster site performance.
● Designed and built secure RESTful APIs using Node.js and Express.js, supporting robust data handling, API integration, and third-party service onboarding.
● Implemented JWT-based authentication, authorization middleware, input validation, and centralized error handling to stabilize traffic for 10k+ daily API requests and cut auth-related defects by 30%.
● Added pagination, query optimizations, and integrated Postman tests, reducing average response latency by 40% and improving QA handoff efficiency.
● Collaborated across teams to streamline API contracts and incorporate feedback, scaling web scalability by 30%.
Tech Stack: React, JavaScript, Node.js, Express.js, MongoDB, Tailwind CSS, HTML5, Postman, GitHub

Systems Engineer, Infosys Limited, Bangalore, India.

December 2019 – September 2021
● Revamped 70% of “Medtronic” web app UI screens using React and Tailwind CSS, enhancing usability and accessibility for 100,000+ users across 150 countries.
● Migrated legacy JSP and Angular user interfaces to React via Micro Frontend Architecture, improving modularity and maintainability.
● Collaborated closely with backend teams to design and develop robust Node.js/Express.js API endpoints, ensuring seamless integration and reliable data flow.
● Adhered to agile SDLC practices, delivering high-quality code with comprehensive unit, integration, and performance testing.
● Optimized app build bundle size by 70–80% through in-depth debugging and code splitting, resulting in significantly faster page load times and better user experience.
Tech Stack: JavaScript, React, Node.js, Express.js, Tailwind CSS, Jenkins, MySQL, HTML5, JSON

Software Engineer Intern, VentAlyst Business Solutions Pvt Ltd, Bangalore, India.

July 2018 – October 2018
● Developed and curated 8+ datasets for modeling using Python and R, improving data analysis efficiency by 25% through effective data cleaning, preprocessing, train/test set partitioning, and feature engineering.
● Conducted exploratory data analysis using seaborn, ggplot, Tableau, and Power BI, leading to a 30% increase in actionable insights for business decisions.
● Implemented ML techniques such as regression, classification, and clustering to predict and explain datasets, enhancing model accuracy by 20%.
Tech Stack: Python, R, MySQL, Excel, AWS, Tableau, Power BI.