ML engineer passionate about intelligent systems and elegant code.
Building production-ready AI systems from self-supervised learning models to efficient data processing pipelines.
Core Competencies:
- Machine Learning & AI: Deep learning architectures, self-supervised learning, optimization models, LLMs
- Specialized Engineering: Production systems, time-series forecasting, optimization problems
- Data Engineering: Production pipelines, MLOps, distributed computing
- Languages & Tools: Python/C++, PyTorch/TensorFlow, Gurobi/PuLP, Docker/Kubernetes
SimpleSleepNet Self-supervised contrastive learning for EEG classification PyTorch • Signal Processing • Edge AI |
DeepSleepBench Benchmarking neural latent representations for EEG SSL • CNN • Transformers • Attention |
Enterprise ML Research Data engineering for ML adoption across 600+ enterprises ETH Zurich • Data Pipeline • Analytics |
Project Architecture Highlights
Featured Publications & Articles
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Self-Supervised Contrastive Learning for EEG-Based Sleep Stage Classification How I engineered a lightweight deep learning framework achieving 80%+ accuracy with <1MB model size using specialized signal augmentations and contrastive learning techniques. |
ETH Zurich 2025 |
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AI's Tangible Business Impact: 5 Key Learnings Analysis of enterprise ML/AI adoption patterns across industries, derived from research collaboration between ETH Zurich and Zühlke. |
Zühlke & ETH Zurich 2024 |
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AI at the Helm: Strategic Signals from the 2025 Stanford Index Benchmark breakthroughs, investment surges, global policy shifts, and the signals shaping the future of intelligence, innovation, and influence. |
AI Strategy 2025 |
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Switzerland's AI Engine: How ETH Zurich Became Europe's Deeptech Powerhouse An in-depth exploration of Switzerland's AI ecosystem and ETH Zurich's outsized role in it—where research excellence, entrepreneurial density, and investor discipline converge. |
Startup Ecosystem 2025 |
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The AI Stack 2030: From Silicon to AI Agents A full-stack, forward-looking thesis on where AI is headed—from compute hardware and model architectures to agentic apps and industry disruption. |
AI Future 2025 |
Awards & Recognition
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Department Rank 1 & Gold Medalist IIT Bombay |
Graduated with highest CGPA in Mechanical Engineering (9.6/10) |
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KC Mahindra Scholarship ETH Zurich |
Prestigious scholarship for meritorious Indian students pursuing graduate studies abroad |
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Heyning-Roelli Scholarship ETH Zurich |
Merit and need-based international exchange scholarship |
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Mensa International High IQ Society | Member of the high IQ society since 2025 |
"I had the opportunity to work closely with Shaswat and was consistently impressed by his technical depth and problem-solving skills." — Tomoko Yokoi, AI & Digital Transformation | Transitions | Future of Work
"I've had the privilege of working closely with Shaswat and can unequivocally state that his ability to dissect and solve complex problems is second to none." — Alex Biermann, Senior Manager - Supply Chain Transformation
Curated Courses
Access curated notes, course materials, and resources—my way of giving back to the community.
Curious? More About Me
- MSc Computer Science @ ETH Zurich (Machine Intelligence & Data Management Systems)
- 💼 Currently: Research Assistant at ETH Zurich, developing optimization models and data pipelines
- 🌏 International experience: Switzerland, India, collaborations across Europe and North America
- 🗣️ Public speaker, published author, and technical mentor
- 🏗️ Building production-grade systems that bridge research and industry application
- 🔍 Research interests: Self-supervised learning, time series analysis, optimization, edge AI