/> Experience | Akash Kondimoena

Career Journey

Professional Experience

4+ years of experience designing, developing, and deploying AI/ML and Generative AI solutions across the USA and India.

Where I've Worked

Current Position

AI/ML Engineer

Sep 2024 – Present

Meijer  ·  Chicago, IL, USA

  • Designed and deployed scalable AI/ML solutions on AWS for demand forecasting, customer analytics, inventory optimization, and recommendation systems.
  • Developed scalable data pipelines using Amazon S3, AWS Glue, Lambda, and Redshift to process enterprise datasets for machine learning.
  • Built Generative AI applications using LLMs, Prompt Engineering, RAG, LangChain, OpenAI, and Hugging Face.
  • Developed NLP models for sentiment analysis, text classification, document summarization, semantic search, and customer feedback analysis.
  • Designed intelligent recommendation systems to improve customer experience and targeted marketing.
  • Built and deployed production-ready AI models using Amazon SageMaker, Docker, Kubernetes, and FastAPI.
  • Integrated Pinecone and FAISS vector databases to build enterprise AI search solutions.
  • Implemented MLOps using MLflow, Apache Airflow, GitHub Actions, and CI/CD pipelines for automated model deployment and monitoring.
  • Collaborated with cross-functional teams to deliver AI-driven retail solutions that improved operational efficiency and customer satisfaction.

Data Scientist

Sep 2020 – Dec 2023

EnterPi Software Solutions Pvt. Ltd.  ·  Hyderabad, India

  • Designed and developed end-to-end machine learning solutions using Python, SQL, Scikit-learn, TensorFlow, and PyTorch.
  • Built scalable ETL pipelines using AWS Glue, Lambda, Python, and SQL for structured and unstructured enterprise data.
  • Performed EDA, feature engineering, and statistical modeling to improve model performance.
  • Developed supervised and unsupervised machine learning models for classification, regression, clustering, and anomaly detection.
  • Implemented NLP solutions using Hugging Face Transformers for text classification, sentiment analysis, and information extraction.
  • Built RESTful APIs using FastAPI and deployed AI models using Docker, Kubernetes, SageMaker, and Apache Airflow.
  • Evaluated models using Accuracy, Precision, Recall, F1-Score, ROC-AUC, and RMSE to ensure reliable AI performance.
  • Collaborated with data engineers, software developers, and business stakeholders to deliver AI-driven enterprise solutions.