Aditya Menon

Artificial Intelligence Engineer

AI / MLSenior AI/ML EngineerAI/MLAvailable for hire
Experience
8+ yrs
Skills
44
Projects
4
Certifications
5

Artificial Intelligence Engineer with 8 years of experience building enterprise AI, Generative AI, and Machine Learning solutions for insurance, banking, healthcare, retail, and manufacturing organizations. Strong expertise in Large Language Models (LLMs), Agentic AI, Retrieval-Augmented Generation (RAG), NLP, Computer Vision, predictive analytics, and MLOps. Experienced in designing scalable AI applications on cloud platforms and delivering production-ready intelligent automation solutions.

Expertise & skills

Artificial Intelligence
Machine LearningDeep LearningGenerative AIAgentic AILarge Language Models (LLMs)Prompt EngineeringRAGReinforcement Learning
AI Frameworks
LangChainLangGraphLlamaIndexCrewAIAutoGen
Machine Learning
TensorFlowPyTorchScikit-learnHugging Face TransformersXGBoostCatBoost
Natural Language Processing
BERTT5spaCyNLTKSentence Transformers
Computer Vision
OpenCVYOLOv8OCRDetectron2
Programming Languages
PythonSQLJavaScript
Databases
PostgreSQLMongoDBRedisPineconeFAISS
Cloud & DevOps
AWSMicrosoft AzureDockerKubernetesMLflowApache AirflowFastAPIGit

Selected projects

Technologies: LangChain, GPT-4, Pinecone, FastAPI

  • Developed an AI-powered claims analysis platform for insurance providers.
  • Implemented RAG to retrieve policy clauses and claim history.
  • Automated claim summarization and fraud risk assessment.
  • Reduced manual review effort through AI-assisted workflows.
  • Integrated secure APIs for enterprise systems.

Technologies: TensorFlow, Python, AWS, PostgreSQL

  • Built forecasting models for inventory optimization.
  • Implemented seasonal demand prediction using time-series models.
  • Improved stock availability across multiple locations.
  • Generated automated replenishment recommendations.
  • Reduced inventory waste using predictive analytics.

Technologies: YOLOv8, OpenCV, PyTorch

  • Developed computer vision models for defect detection.
  • Automated quality inspection on production lines.
  • Improved detection accuracy using deep learning.
  • Reduced manual inspection time significantly.
  • Created dashboards for inspection analytics.

Technologies: LlamaIndex, LangGraph, ChromaDB, Azure OpenAI

  • Built an enterprise chatbot for internal knowledge retrieval.
  • Integrated multiple document repositories using vector search.
  • Designed multi-agent workflows for complex queries.
  • Enabled contextual responses with citation support.
  • Improved employee productivity through AI-powered search.

Certifications

  • Microsoft Certified: Azure AI Engineer Associate
  • AWS Certified Machine Learning – Specialty
  • Databricks Generative AI Fundamentals
  • TensorFlow Developer Certificate
  • Generative AI Professional Certification

Education

  • Bachelor of Engineering (B.E.) in Computer Science

    Anna University

    2018

Achievements

  • Delivered 30+ AI and Machine Learning projects across enterprise domains.
  • Designed production-ready Generative AI and Agentic AI applications.
  • Implemented scalable RAG solutions for enterprise knowledge management.
  • Optimized AI deployments using Kubernetes and MLflow.
  • Improved model accuracy through feature engineering and prompt optimization.
  • Mentored AI engineers and established AI development best practices.

Similar engineers

Other AI / ML engineers with comparable experience.

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