Srusti Sain — Portfolio
Srusti
Sain
Automation Engineer, Lila Sciences
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Srusti Sain
// About

I build intelligent systems for science.

Trained as a biomedical engineer and shaped by experience in medical devices and automation, I now focus on AI-powered platforms that accelerate discovery. At Lila Sciences, I contribute to the development of the world's first scientific superintelligence, rethinking how research is designed, executed, and optimized.

My interests span large language models, autonomous agents, and the future of lab automation. I am especially drawn to neuroscience, studying how the brain processes information and adapts, and thinking about what it means to engineer systems that learn with similar flexibility and efficiency.

I'm driven by one principle: continuous learning transformed into meaningful impact.

EXPLORE THE TIMELINE →
// Zone 01
LAB AUTOMATION
Programming robots to make science move faster
Agilent Bravo Dynamic Devices Lynx Hamilton STAR Opentrons OT-2 LIMS Liquid Handling
Automated Nucleic Acid Processing Platforms
Cell Engineering & Transfection Automation Systems
Microbial Strain Generation & Screening Automation
End-to-End RNA Workflow Enablement
Laboratory Data Infrastructure Systems
AI-Embedded Method Development Systems
Unified Error Intelligence & Resilience Architecture
// Zone 02
AI & MACHINE LEARNING
Building models that learn, reason, and decide
Python Large Language Model Agentic AI Claude Ollama Context Engineering MCP Skills LangChain RAG Vector Embeddings Human-in-the-loop Fine-tuning LLMs
Deployed
Stylisti
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1st Prize @ MIT · Visionary Award
Catalyze
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Hackathon 2025
Scale Me Maybe
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Research
Detection of Diseases Using Electrophotonic Images
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// Zone 03
NEUROSCIENCE
Decoding brain signals to unlock human potential
Wearable Sensor Integration Image Processing Signal Processing Neural Networks Spectral Analysis Pattern Recognition MATLAB LabVIEW Artifact Removal & Filtering
512 Hz
Provisional Patent
Wearable Transcranial Magnetic Stimulation for Alzheimer's Disease
View on GitHub
Quarterfinalist · AICTE × TI × IIM Bangalore
Galvanic Skin Response Module for Mood Disorder Detection
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// Get In Touch
Contact

Interested in collaborating or have a question? Reach out through any of the channels below.

EMAIL GITHUB LINKEDIN