As a Backend and AI/ML Engineer with 3 years of professional experience, I specialize in architecting high-performance systems and deploying custom AI solutions from concept to production. I have a proven track record of developing ML pipelines that handle tens of thousands of classifications daily and integrating everything from fine-tuned Vision-Language Models (VLMs) to classic algorithms into live environments. My goal is to provide practical, efficient, and scalable solutions that deliver real business value. My Core Services Include: Custom AI & Machine Learning Solutions LLM & VLM Integration: Fine-tuning models for specific tasks like product attribute extraction from images , developing advanced prompt engineering solutions , and boosting inference throughput by 70% using tools like vLLM. Computer Vision: Deploying end-to-end object detection systems (YOLOv10) and building high-accuracy custom image classifiers (EfficientNetV2). Natural Language Processing (NLP): Creating robust text classification pipelines using models like DistilBERT to achieve up to 95% accuracy. OCR & Document Intelligence: Training and integrating custom models for automated data extraction from diverse documents using services like Azure AI Document Intelligence. High-Performance Backend Development Building scalable, high-performance RESTful APIs using Go (Golang). Optimizing complex SQL queries for efficient data retrieval from databases like MariaDB. Implementing concurrency and parallel processing with Go routines for enhanced speed and performance. MLOps & Data Engineering Designing and building comprehensive, real-time monitoring dashboards using Grafana to track model accuracy, system performance, and error rates. Developing data integration pipelines and performing feature engineering to improve model performance. My approach is grounded in building practical, production-ready systems. I don't just deliver a model; I deliver a fully integrated solution with robust backend services and transparent performance monitoring. Whether you need to build a new AI feature from scratch, optimize an existing ML pipeline, or develop a scalable backend to support your application, I have the skills to help. Let's connect to discuss your project goals.

Nabeel Nasar

As a Backend and AI/ML Engineer with 3 years of professional experience, I specialize in architecting high-performance systems and deploying custom AI solutions from concept to production. I have a proven track record of developing ML pipelines that handle tens of thousands of classifications daily and integrating everything from fine-tuned Vision-Language Models (VLMs) to classic algorithms into live environments. My goal is to provide practical, efficient, and scalable solutions that deliver real business value. My Core Services Include: Custom AI & Machine Learning Solutions LLM & VLM Integration: Fine-tuning models for specific tasks like product attribute extraction from images , developing advanced prompt engineering solutions , and boosting inference throughput by 70% using tools like vLLM. Computer Vision: Deploying end-to-end object detection systems (YOLOv10) and building high-accuracy custom image classifiers (EfficientNetV2). Natural Language Processing (NLP): Creating robust text classification pipelines using models like DistilBERT to achieve up to 95% accuracy. OCR & Document Intelligence: Training and integrating custom models for automated data extraction from diverse documents using services like Azure AI Document Intelligence. High-Performance Backend Development Building scalable, high-performance RESTful APIs using Go (Golang). Optimizing complex SQL queries for efficient data retrieval from databases like MariaDB. Implementing concurrency and parallel processing with Go routines for enhanced speed and performance. MLOps & Data Engineering Designing and building comprehensive, real-time monitoring dashboards using Grafana to track model accuracy, system performance, and error rates. Developing data integration pipelines and performing feature engineering to improve model performance. My approach is grounded in building practical, production-ready systems. I don't just deliver a model; I deliver a fully integrated solution with robust backend services and transparent performance monitoring. Whether you need to build a new AI feature from scratch, optimize an existing ML pipeline, or develop a scalable backend to support your application, I have the skills to help. Let's connect to discuss your project goals.

Available to hire

As a Backend and AI/ML Engineer with 3 years of professional experience, I specialize in architecting high-performance systems and deploying custom AI solutions from concept to production. I have a proven track record of developing ML pipelines that handle tens of thousands of classifications daily and integrating everything from fine-tuned Vision-Language Models (VLMs) to classic algorithms into live environments.

My goal is to provide practical, efficient, and scalable solutions that deliver real business value.

My Core Services Include:

Custom AI & Machine Learning Solutions

LLM & VLM Integration: Fine-tuning models for specific tasks like product attribute extraction from images , developing advanced prompt engineering solutions , and boosting inference throughput by 70% using tools like vLLM.

Computer Vision: Deploying end-to-end object detection systems (YOLOv10) and building high-accuracy custom image classifiers (EfficientNetV2).

Natural Language Processing (NLP): Creating robust text classification pipelines using models like DistilBERT to achieve up to 95% accuracy.

OCR & Document Intelligence: Training and integrating custom models for automated data extraction from diverse documents using services like Azure AI Document Intelligence.

High-Performance Backend Development

Building scalable, high-performance RESTful APIs using Go (Golang).

Optimizing complex SQL queries for efficient data retrieval from databases like MariaDB.

Implementing concurrency and parallel processing with Go routines for enhanced speed and performance.

MLOps & Data Engineering

Designing and building comprehensive, real-time monitoring dashboards using Grafana to track model accuracy, system performance, and error rates.

Developing data integration pipelines and performing feature engineering to improve model performance.

My approach is grounded in building practical, production-ready systems. I don’t just deliver a model; I deliver a fully integrated solution with robust backend services and transparent performance monitoring. Whether you need to build a new AI feature from scratch, optimize an existing ML pipeline, or develop a scalable backend to support your application, I have the skills to help.

Let’s connect to discuss your project goals.

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