πŸ‘‹ hi, i’m akshay sabade

i’m a senior ai/ml engineer who builds production-grade genai and ml systems β€” from real-time pipelines to enterprise mlops platforms.

  • πŸŽ“ ph.d. (in progress) & m.s. in data science β€” harrisburg university
    mba β€” csu east bay β€’ b.s. β€” mumbai university
  • πŸ§ͺ 10+ years across retail, fintech, healthcare, telecom
  • πŸ₯‡ cert: mit β€” data science & big data analytics

what i do

  • mlops at scale: standardized deployment, monitoring, and governance; real-time model serving
  • genai apps: document understanding, rag, knowledge-graph-augmented retrieval, conversation summarization
  • modeling: transformers, llms, classical ml, time-series, a/b testing
  • cloud: aws, azure, gcp (bigquery, vertex, sagemaker, databricks, synapse)

  • cpc document pre-validation (llm + ocr, sanitized)
    real-time validation of children’s product certificates β†’ structured json + completeness scoring.
    β†’ repo (public prototype): CPC LLM Pre-Validation
    β†’ demo notebook: notebook_cpc_llm.ipynb
  • conversation summarizer (rag + transformers)
    scalable chat summarization + analytics; improved retrieval quality & agent workflows.
  • 5g rollout optimization
    improved site build rate and asset allocation using ml-enhanced optimization.

want links added? share any public repos and i’ll wire them up.


skills snapshot

languages: python, r, sql, scala, golang
ml/dl: pytorch, tensorflow, scikit-learn, sparkml, llms, rag, kg
data: bigquery, postgres, mongo, dynamodb, delta lake
platforms: vertex ai, sagemaker, azure databricks, mlflow, docker, kubernetes
viz: tableau, power bi, plotly


currently exploring

  • agentic ai & multi-modal reasoning
  • evaluation frameworks for llm quality & safety
  • retrieval + kg patterns for enterprise search

connect

linkedin β€’ email

last updated: september 2025