I am a Computer Engineering student at Dr. D. Y. Patil Institute of Technology (Pune), focusing on the intersection of Systems Programming (C++) and Artificial Intelligence.
Unlike typical data science workflows, my interest lies in the infrastructure layer—optimizing how AI models are deployed, securing data pipelines with custom encryption, and reducing latency in distributed applications.
- Core Focus: High-Performance Computing (HPC), Distributed Systems, and Edge AI.
- Research: Recipient of the La Trobe University Research Grant for architecting neuro-hybrid monitoring systems.
- Current State: Porting Python logic to C++17 to minimize runtime overhead.
| Systems & Core |
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| AI & Data |
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| Infrastructure |
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- Tech: C++, ZeroMQ, OpenSSL, Python (FastAPI)
- Scope: A distributed neuro-hybrid monitoring system funded by La Trobe University.
- Engineering: Architected a producer-consumer model where a C++ Core captures biometrics, encrypts payloads via AES-256, and streams to a Python analyzer with <50ms latency via IPC sockets.
- Tech: C++17, FFTW3, Librosa
- Scope: High-performance audio recognition kernel.
- Engineering: Implementing the "Avery Wang" algorithm using FFT and combinatorial hashing. Currently profiling CPU bottlenecks to implement SIMD optimizations for spectral peak finding.
- Tech: Rasa, NLP, Web Scraping
- Scope: End-to-end study planner and document analyzer.
- Engineering: Built a custom scraping pipeline to parse exam papers and used semantic clustering (Sentence-Transformers) to group recurring concepts across PDF documents.
- La Trobe University Research Grant: Awarded for the NeuroBloom System.
- Smart India Hackathon (SIH): 2x Internal Finalist (2024, 2025).
- Education: B.E. Computer Engineering (CGPA 8.87 / 10).