experience

Professional journey

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Performance and Research Engineer @ e6data
Jan 2025 - Present

Working in the core query engine team. Making algorithmic improvements for better memory efficiency and CPU utilization to enable faster SQL query execution.

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Vice President @ Society for AI and Deep Learning
Aug 2024 - Jul 2025

Organized a symposium, conducted courses, undertook research projects, hosted paper-reading sessions and hackathons.

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Summer Intern @ Technische Universität Dresden
May 2024 - Feb 2025

State-space models for neuromorphic event streams and point-cloud data. Work accepted at NeVI @ ICCV'25.

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Undergraduate Research Assistant @ SenseLab
Aug 2024 - Dec 2024

Detecting user habits using CSI measurements from WiFi devices. Runner-up for best paper in WiP track at PERCOM'25.

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Undergraduate Researcher @ DaSH Lab
Apr 2023 - Dec 2024

Designing a cluster-aware file-level adaptive striping framework for parallel file-systems (BeeGFS). Published at IEEE CLUSTER'23.

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Core Member, Software Team @ Project Kratos
Jun 2022 - Apr 2024

Implemented a visual servoing algorithm using a custom-trained YOLO as the object detector, integrated PID-based GPS navigation with the rover's tech stack. 2nd Place in Autonomous Task at IRC'24. Project website.

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Undergraduate Researcher @ APPCAIR
May 2023 - Dec 2023

Explored causal neural network pruning strategies that preserve feature importances, compared against L0, L1, Rank-based and Learning-Compression Algorithms. Code.

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Summer Intern @ NESAC
May 2023 - Aug 2023

Used UNets and LSTMs for rainfall prediction using satellite data. Experimented with genetic algorithms to compare model performance against gradient-descent based optimisers. Work accepted as a poster at IGARSS'24.