Navi Mumbai, India • LinkedIn • Email • Featured Work ↓
Software engineer with an Electronics & Telecommunication foundation, specializing in resource-constrained systems, offline-first client architectures, on-device ML inference & developer tooling.
My engineering approach prioritizes low-latency execution and architectural resilience - solving practical constraints by running neural networks locally on edge hardware, designing offline-first client storage engines & automating cloud maintenance routines.
- Focus Areas: Edge AI & local inference (ONNX, MobileBERT, Ollama), offline-first logistics engines & developer tooling.
- Academic Foundation: B.E. in Computer Engineering, SIES GST • Diploma in Electronics & Telecommunication, Vidyalankar Polytechnic.
- Honors: Smart India Hackathon '25 Grand Finalist • CiiA-3 National Top 100 Innovator.
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Offline-first progressive web application for transport logistics operators to track vehicle duties and automate billing - features client-side PDF invoice synthesis, bidirectional Excel duty log parsing, Zustand state persistence & margin analytics. 
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VS Code extension streamlining Android Debug Bridge workflows directly from the editor sidebar - features wireless QR-code pairing over mDNS, automated ADB toolchain installation, real-time device lifecycle tracking & one-click interactive shell terminals.
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Scheduled automation bot that prevents free-tier PythonAnywhere web applications from expiring - executes bi-monthly via GitHub Actions using encrypted secrets, automated CSRF session management with BeautifulSoup & persistent audit logging. 
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On-device SMS scam detection app safeguarding senior citizens using a fine-tuned MobileBERT model exported to ONNX Runtime - features a native Dart WordPiece tokenizer, priority-queued background inference, offline SQLite persistence & zero cloud dependencies for complete data privacy. 
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Local-first clinical AI platform for medical report analysis and Indic translation - features dual-engine OCR, source-grounded summarization via local Ollama LLMs, GPU-accelerated Indic translation (IndicTrans2, M2M100) & async FastAPI backend with PostgreSQL.
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Real-time weather and environmental monitoring application built with Flask and Chart.js - integrates OpenWeatherMap and Open-Meteo APIs for dynamic 5-day forecasting and air quality tracking with automated continuous deployment via GitHub Actions.
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Open to Software Engineering opportunities, with a focus on systems, offline-first architectures & applied machine learning. Feel free to reach out at tanishqmudaliar846@gmail.com.