Khushi Heblikar
@khushiheblikar
Motivated undergraduate passionate about building scalable software solutions.
What I'm looking for
I am a motivated and detail-oriented undergraduate pursuing a degree in Information Science at BMS College of Engineering, where I have maintained a CGPA of 9.1/10. My academic journey has equipped me with a solid foundation in various technical domains, including Data Structures, Algorithms, Machine Learning, and Cloud Computing. I am passionate about building scalable software solutions and thrive in collaborative team environments.
During my internship at Hewlett Packard Enterprise, I developed real-time monitoring solutions for PostgreSQL and OVSDB, utilizing tools like Prometheus and Grafana for visualization. I also have hands-on experience in creating a Visual Studio Code extension that leverages Hugging Face APIs for code generation, showcasing my ability to integrate advanced technologies into practical applications. My projects reflect my commitment to continuous learning and innovation in the tech space.
Experience
Work history, roles, and key accomplishments
Project Intern
Hewlett Packard Enterprise (HPE)
Jan 2025 - Present (6 months)
Built real-time monitoring solutions for PostgreSQL and OVSDB using Prometheus, InfluxDB, and Victoria-Metrics, with visualization via Grafana dashboards. Implemented distributed monitoring architecture using Docker to ensure scalability and isolation across services. Integrated custom exporters and configured remote scraping in distributed environments to collect system and application metrics.
Education
Degrees, certifications, and relevant coursework
BMS College of Engineering (BMSCE)
Bachelor of Engineering, Information Science
2022 - 2026
Grade: 9.1/10
Activities and societies: Senior SAC, IEEE WIE, BMSCE (2023–2024); VTU Champion, Girls Football Team, BMSCE (2024); Finalist, NatWest Datathon (2024).
Pursued a Bachelor of Engineering in Information Science, focusing on core computer science concepts. Completed relevant coursework in Data Structures, Algorithms, Machine Learning, Cloud Computing, and Database Systems.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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