1st Runner-Up — La Trobe University Technology Infusion Grand Challenge Asia 2025

• 🥈 Ranked 2/137 registrations across 11 universities in Asia
• 💰 ₹1,00,000 Prize Award
• 🎯 NeuroBloom — Distributed neuro-hybrid cognitive screening system for ASD, ADHD, Dyscalculia detection
• 📊 View Challenge Details | GitHub Repository

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.

My interest lies in the infrastructure layer — optimizing how AI models are deployed, reducing latency in distributed pipelines, and building systems that work at the edge without cloud dependency.

• Core Focus: High-Performance Computing, Distributed Systems, Edge AI, DSP
• Recognition: 1st Runner-Up at La Trobe University TIGC Asia 2025
• Current State: Porting Python logic to C++17 to minimize runtime overhead and building toward CUDA/GPU engineering

Systems & Core
DSP & Audio
AI & Inference
Infrastructure
Hardware

Offline, physics-first vibration intelligence system for SME industrial machinery · AMD Slingshot 2026

• Architected a C++ DSP ingestion engine using PortAudio and FFTW3 — high-pass (100Hz) + low-pass (12kHz) filters isolate mechanical frequency bands before inference, with 2048-point FFT and 75% overlap generating 1024×64 log-magnitude spectrograms at 44.1kHz
• Engineered a deterministic RMS safety gate in C++ firing in under 1ms — bypasses AI inference entirely for critical threshold breaches, ISO 10816-3:2009 compliant
• Trained a Convolutional Autoencoder on healthy baseline data and deployed via ONNX Runtime targeting AMD Ryzen AI XDNA NPU via Vitis AI Runtime — 3ms median inference on CPU, sub-5ms projected on 50 TOPS NPU
• Designed a three-tier ZeroMQ PUB/SUB distributed pipeline — C++ DSP node → Python inference node → React dashboard — validated at 30.9ms mean end-to-end pipeline latency, 10/10 frames verified
• Integrated Llama 3.1 8B via Ollama for local multilingual fault alerts in Hindi, Marathi, and English — fully offline, graceful fallback confirmed
• 85% cheaper than existing solutions — ₹3,499/sensor node targeting 500,000+ unserved Indian SME factories

C++17 FFTW3 PortAudio ZeroMQ ONNX PyTorch Vitis AI Llama 3.1 React Docker Raspberry Pi

1st Runner-Up — La Trobe University Technology Infusion Grand Challenge Asia 2025 · ₹1,00,000 Prize

Distributed neuro-hybrid monitoring system for early detection of learning disabilities (ASD, ADHD, Dyscalculia)

• Architected a producer-consumer model where a C++ core captures multi-modal biometrics (EEG simulation, eye-tracking, handwriting analysis), encrypts payloads via AES-256, and streams to a Python analyzer with <50ms latency via IPC sockets
• Designed secure inter-process communication using ZeroMQ with OpenSSL encryption layer — no plaintext biometric data ever transmitted
• Recognition: Ranked 2/137 entries across 11 universities in Asia · Awarded ₹1,00,000 prize
• Full technical deep-dive: See NeuroBloom Repository

C++ ZeroMQ OpenSSL AES-256 Python FastAPI OpenCV

High-performance audio recognition kernel — foundation for Resonance DSP pipeline

• Implementing the Avery Wang fingerprinting algorithm using FFT spectrograms and combinatorial hash matching in C++17
• Profiling CPU bottlenecks and exploring SIMD optimizations for spectral peak finding
• Core DSP concepts from this project directly informed the Resonance signal pipeline

C++17 FFTW3 DSP Audio Fingerprinting

• Built a custom scraping pipeline to parse exam papers and used semantic clustering (Sentence-Transformers) to group recurring concepts across PDF documents
• End-to-end study planner with Rasa NLP backend

Rasa NLP Sentence-Transformers Web Scraping

B.E. Computer Engineering
Dr. D.Y. Patil Institute of Technology, Pune (2023–2027)

• CGPA: 8.87/10
• Focus: Distributed Systems, Real-Time Computing, Performance Optimization

Feel free to reach out for collaborations on systems programming, edge AI, or GPU optimization projects.

• 💼 LinkedIn
• 📧 Email
• 💻 GitHub
• 📄 Resume

"Intelligence belongs at the edge. Latency belongs at zero."