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Rohit Suratekar

AI & LLM systems

Models and the systems around them: CNNs for ECG waveforms, deep learning for viral variants, genomic embeddings, and multi-agent LLM systems whose every decision is traceable to evidence.

Period
2022 — now
Built
Agents · CNNs · embeddings
Where
nference · Anumana

Selected work

All 8 projects in ai & llm systems →

Models I've built, year by year

  1. ~2015Classical MLPerceptrons · parameter optimisation
  2. 2022TransformersGenomic embeddings for BERT
  3. 2023CNNsAI-ECG for amyloidosis & AFib
  4. 2025Multi-agent LLMsEvidence-traced clinical-trial cohorts
  5. 2026InterpretabilityGradient flow inside disease CNNs

Applications

  • Clinical NLP on EHR notes
  • Digital biomarkers from ECG
  • Patient stratification
  • Variant-activity prediction

Tooling

  • LangGraph · LangChain
  • PyTorch · TensorFlow · Keras
  • Hugging Face
  • scikit-learn · NLTK

Methods

  • Variational autoencoders (VAEs)
  • Retrieval-augmented generation (RAG)
  • Uncertainty quantification
  • Predictive modelling
A small neural network