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Arslan Javed

@arslanjaved1

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Lead AI/ML Architect at Aiwyn building an Agentic AI customer support platform for enterprise knowledge bases.

United States

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At Aiwyn, I led the design and delivery of an Agentic AI customer support platform using Retrieval-Augmented Generation across enterprise knowledge bases. I built ingestion and knowledge pipelines and developed LangGraph workflows for multi-step reasoning and tool-based query resolution.

I established CI/CD and RAGAS evaluation pipelines, and added observability for agent behavior, latency, and system performance. This work helped reduce release cycle time and improve debugging efficiency and reliability.

Before Aiwyn, I built recommendation systems at Codex Innovation and developed machine learning solutions for risk and compliance workflows at Bank of America. Earlier, at TechDreams Solution, I worked on deep learning for video analytics, including a 3D CNN-based suspicious activity detection system.

Experience

Work history, roles, and key accomplishments

Current

Lead AI/ML Architect

Current

Aiwyn

Jul 2023 - Present (3 years 3 months)

Led the design and delivery of an enterprise Agentic AI customer support platform using RAG, built scalable data ingestion pipelines, and engineered hybrid retrieval with dense vector search and BM25. Established MLOps pipelines with CI/CD and RAGAS-based evaluation, and deployed scalable systems using Kubernetes and Infrastructure as Code.

Generative AI LLM RAG Agentic AI LangGraph Lang Chain fastAPI Django Kubernetes Terraform MLOps CI CD Ragas Langsmith AWS Azure GCP

Senior Machine Learning Engineer

Codex Innovation

Apr 2019 - Jun 2023 (4 years 2 months)

Designed and implemented an end-to-end recommendation system with a three-stage architecture including candidate generation, ranking, and re-ranking. Trained and deployed models using AWS SageMaker and implemented MLOps pipelines with GitHub Actions and Terraform.

Recommendation Systems Collaborative Filtering Two Tower Models TensorFlow PyTorch Boosted Trees AWS Sagemaker GitHub Actions Terraform MLOps

Data Science Executive

Bank of America

Jul 2017 - Mar 2019 (1 year 8 months)

Developed data science solutions for risk, compliance, and audit workflows, including predictive models for anomaly detection and NLP pipelines for document classification. Engineered ETL pipelines and performed exploratory data analysis to support data-driven decision making.

predictive modeling Logistic Regression Random Forest Gradient Boosting NLP Python SQL ETL Feature Engineering Data Analysis

Machine Learning Engineer

TechDreams Solution

Dec 2013 - Jun 2017 (3 years 6 months)

Worked on applied machine learning and deep learning solutions across computer vision and predictive analytics. Developed a 3D CNN-based system for detecting suspicious activities in video streams and built end-to-end ML pipelines using Python, TensorFlow, Keras, and Scikit-learn.