Work Experience

Ae

Adobe

AI/ML Engineer

Jul 2025 – Present

USA

Currently Here
40%Faster Retrieval
45%Less Manual Work
10M+Records / Month
  • ▸Rolled out a production RAG pipeline combining embeddings and vector search, cutting document retrieval time by 40% while improving answer accuracy for internal knowledge access.
  • ▸Shipped LLM-driven automation features using OpenAI and Hugging Face, reducing manual content work by 45% across high-volume workflows.
  • ▸Built AWS-based ML pipelines with SageMaker and Airflow handling 10M+ records monthly for stable batch and near real-time inference.
RAG
OpenAI
HuggingFace
AWS SageMaker
Airflow
MLflow
FastAPI
Ac

Accenture

AI/ML Engineer

Sep 2020 – Oct 2023

India

35%Faster Pipelines
40%Less Review Effort
18%Better Accuracy
  • ▸Delivered ML solutions for customer analytics and forecasting using Python and SQL, improving prediction accuracy by ~18% for enterprise clients.
  • ▸Engineered data pipelines using PySpark and Airflow to process millions of records daily, cutting data preparation time by 35%.
  • ▸Built NLP pipelines using BERT and spaCy for classification and entity extraction, reducing manual document review effort by 40%.
Python
PySpark
BERT
spaCy
XGBoost
LightGBM
Docker
Airflow