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Shakeel Ismaeel

@shakeelismaeel

Senior AI/ML Specialist at BinarySol. building production RAG and conversational AI systems, including a pipeline that cut response time from 250ms to 120ms.

Pakistan

Message

At BinarySol., I create generative AI applications and production conversational systems with intent detection, contextual memory, and multi-turn dialogue. I also developed and fine-tuned transformer-based LLMs to improve response quality and contextual understanding.

I built RAG pipelines with LangChain and vector-based retrieval, and deployed cloud-native AI services using AWS, Docker, and Kubernetes. By optimizing batching and infrastructure, I reduced model response times from 250ms to 120ms.

At HighTechLab, I delivered machine learning solutions for predictive analytics, classification, clustering, and recommendation systems. I also built data pipelines processing 50 GB daily and optimized real-time inference APIs to achieve sub-100ms response times.

At ExpertSystemSolution, I designed machine learning workflows and contributed to production integrations, applied research, and computer vision work. My projects include an enterprise document intelligence system, agentic workflow automation, fraud detection, traffic monitoring, and invoice processing.

Experience

Work history, roles, and key accomplishments

Current

Senior AI/ML Specialist

Current

BinarySol

Jun 2023 - Present (3 years 4 months)

Created generative AI applications for text-to-image, image-to-image, and AI-assisted media workflows. Developed and fine-tuned transformer-based LLMs, built RAG pipelines, and deployed cloud-native AI services on AWS with Docker and Kubernetes.

Generative AI LLM RAG Lang Chain Vector Databases AWS Docker Kubernetes ETL Object Detection Inference Optimization Model Lifecycle

AI/ML Engineer/Data Scientist

HighTechLab

Jan 2021 - May 2023 (2 years 4 months)

Delivered end-to-end ML solutions for predictive analytics, classification, clustering, and recommendation systems. Built scalable ETL pipelines processing 50 GB of data daily and optimized real-time inference APIs with sub-100ms response times.

Predictive Analytics Classification Clustering Collaborative Filtering ETL Pandas SQL PySpark Airflow fastAPI NLP Hugging Face Transformers SpaCy Feature Engineering Optuna XGBoost LightGBM YOLO PyTorch MLFlow

Junior ML Engineer/Data Scientist

ExpertSystemSolution

Feb 2018 - Dec 2020 (2 years 10 months)

Designed and executed end-to-end machine learning workflows covering data preprocessing, feature engineering, model training, and deployment. Built supervised and unsupervised learning models and applied computer vision techniques using OpenCV and YOLO.