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GEN AI
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GEN AI

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Dhruvil7694/README.md

AI Engineer • Applied ML • Production Systems


System Identity

I build production AI systems, not just models.

My work focuses on the full pipeline:

→ data ingestion
→ model design
→ automation
→ deployment
→ monitoring

Most ML fails at engineering, not math.
I optimize for systems that survive reality.


Current Mission

AI/ML Engineer — Cyber Security Umbrella

Dec 2024 – Present

  • Built AI reporting engine → 75% workflow automation
  • Threat classification pipeline → 92% accuracy
  • Multi-source Airflow ingestion system
  • CI/CD automation → 35% detection improvement

Focus: scalable intelligence pipelines.


Research Engine

Area Result
NLP Mental Health 88.10% accuracy
EEG Neurological AI 90% classification
Optimization 40% training efficiency gain

Depression Detection (ICICC 2024, Springer LNNS)
LIWC-based linguistic modeling + large social dataset

EEG Signal Classification — SVNIT
Distributed training for neurological disorder detection

Research direction: brain analytics + applied AI systems


Tech Stack Matrix

ML Core

Python PyTorch TensorFlow HuggingFace

MLOps

Docker Kubernetes Airflow MLflow

Infrastructure

AWS GCP Git


Architecture Mindset

Every project is designed with lifecycle thinking.


GitHub Activity


Selected Work

  • AI Report Generator → automated intelligence reporting
  • Depression Detection NLP → mental health classifier
  • EEG Neurological Classifier → brain signal ML pipeline

Pinned repos contain architecture breakdowns.


Leadership Layer

  • Coding Club President (50+ engineers)
  • International conference speaker
  • Environmental initiative lead
  • Competitive basketball vice-captain

Systems thinking applies to teams too.


Contact

LinkedInEmailMediumKaggle


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