AeroSense AI — Urban AQI Prediction
An interactive urban air-quality dashboard for sensor-sparse environments, combining predicted AQI information with map-based visualization and environmental indicators.
B.E. Computer Science (AI/ML) student building practical software across test automation, backend systems, data and AI/ML. Looking primarily for SDET and automation opportunities, while remaining open to software and data-focused roles.
Interested in building reliable systems, automating repetitive work and turning technical ideas into usable products.
Projects take center stage here. The goal is to show what I actually built, how it works and where automation, software and AI/ML fit into the work.
An interactive urban air-quality dashboard for sensor-sparse environments, combining predicted AQI information with map-based visualization and environmental indicators.
Retrieval-augmented planning system for organizing college-fest information and producing contextual answers from relevant source material.
Backend-focused application work involving Django, MySQL, authentication and JSON-based API flows, including migration from a Flask implementation.
Hands-on experience across software engineering, SDET, automation, backend development, APIs and AI applications.
Progressed from programming fundamentals and data structures and algorithms to practical software development through hands-on technical training. Built applications involving AI chatbots, API integration, portfolio development and web technologies.
Worked across multiple software engineering functions including SDET, development, data collection, web scraping and automation testing. Developed and tested web applications and backend workflows using Python, Flask/Django and database technologies, while gaining practical experience in debugging and validation.
SDET and automation are the primary career direction, with backend, data and AI/ML skills supporting that broader engineering profile.
SDET, test automation, API/backend engineering and practical software development. Other software and data roles are also on the table.
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I’m a Computer Science (AI/ML) student interested in the part of software engineering where systems have to actually work — and where automation can make that process faster and more reliable.
SDET and automation roles. I’m particularly interested in testing, automation frameworks, API validation and engineering workflows that improve software reliability.
Backend development, AI/ML, data processing and practical applications. I’m open to roles outside SDET when the work has strong engineering value.
For SDET, automation and software engineering opportunities, reach out through email or LinkedIn.