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I am an AI/ML engineer with 3+ years of experience designing, developing, and deploying AI solutions, including NLP, large language models, and computer vision applications. I enjoy turning complex data into practical tools that improve decision-making and automate processes. I build end-to-end ML/DL pipelines and deploy scalable solutions on AWS and GCP. I collaborate with cross-functional teams to integrate models into banking and technology applications, prioritizing performance, reliability, and regulatory compliance.…I am an AI/ML engineer with 3+ years of experience designing, developing, and deploying AI solutions, including NLP, large language models, and computer vision applications. I enjoy turning complex data into practical tools that improve decision-making and automate processes. I build end-to-end ML/DL pipelines and deploy scalable solutions on AWS and GCP. I collaborate with cross-functional teams to integrate models into banking and technology applications, prioritizing performance, reliability, and regulatory compliance.

Areef Shaik

AI Engineer, AI Developer, Data Scientist, +2

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I am an AI/ML engineer with 3+ years of experience designing, developing, and deploying AI solutions, including NLP, large language models, and computer vision applications. I enjoy turning complex data into practical tools that improve decision-making and automate processes. I build end-to-end ML/DL pipelines and deploy scalable solutions on AWS and GCP. I collaborate with cross-functional teams to integrate models into banking and technology applications, prioritizing performance, reliability, and regulatory compliance.…I am an AI/ML engineer with 3+ years of experience designing, developing, and deploying AI solutions, including NLP, large language models, and computer vision applications. I enjoy turning complex data into practical tools that improve decision-making and automate processes. I build end-to-end ML/DL pipelines and deploy scalable solutions on AWS and GCP. I collaborate with cross-functional teams to integrate models into banking and technology applications, prioritizing performance, reliability, and regulatory compliance.

Available to hire

I am an AI/ML engineer with 3+ years of experience designing, developing, and deploying AI solutions, including NLP, large language models, and computer vision applications. I enjoy turning complex data into practical tools that improve decision-making and automate processes.

I build end-to-end ML/DL pipelines and deploy scalable solutions on AWS and GCP. I collaborate with cross-functional teams to integrate models into banking and technology applications, prioritizing performance, reliability, and regulatory compliance.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

English

Fluent

Work Experience

AI Engineer at M&T Bank

January 1, 2025 - October 28, 2025

Developed end-to-end NLP pipelines using ROBERTa, GPT-4, and Named Entity Recognition (NER) to automatically extract and classify key information from customer communications, reducing manual review time by 35%. Implemented Computer Vision models (MobileNetV2, YOLOv8) and Tesseract OCR to process and validate scanned financial documents, improving document verification speed by 40% and decreasing errors in KYC workflows. Engineered predictive credit risk models using Artificial Neural Networks (ANN) and XGBoost on PostgreSQL datasets, achieving 12% higher accuracy in identifying high-risk accounts. Established retrieval-augmented solutions using LangChain and LlamaIndex to organize, index, and query large financial datasets, enabling analysts to quickly access relevant information and reducing data search time by 30%. Employed knowledge retrieval and Generative AI tools using LLaMA and Mistral models, enabling financial analysts to generate actionable insights faster and cutting manual

Machine Learning Engineer at KPIT Technologies

November 1, 2023 - November 1, 2023

Instituted predictive models using Linear Regression, Logistic Regression, Decision Trees, Random Forests, Naive Bayes, and XGBoost on PostgreSQL datasets to optimize business decisions, achieving 15% improvement in forecasting accuracy. Engineered clustering and dimensionality reduction pipelines using K-Means, DBSCAN, and PCA to identify customer behavior patterns, increasing targeted marketing efficiency by 12%. Implemented Recurrent Neural Networks (RNNs) and Convolutional Neural Networks (CNNs) using PyTorch for sequential and image data modeling, enhancing model accuracy in anomaly detection and image classification tasks. Utilized OpenCV for image processing, automating data extraction from scanned forms and reducing manual effort by 30%. Leveraged Bidirectional Encoder Representations from Transformers (BERT) and NLTK for NLP-based projects, including text classification and sentiment analysis, improving text-processing accuracy by 20%. Processed and analyzed large-scale datase