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AI Engineer with 5+ years of experience building and deploying production-grade AI solutions focused on LLMs, Generative AI, NLP, RAG, and Machine Learning engineering. Experienced in designing scalable AI applications, conversational AI agents, semantic search platforms, recommendation systems, and end-to-end ML pipelines (data processing, training, evaluation, deployment, and monitoring). Strong expertise in LLM fine-tuning, prompt engineering, vector databases, AI agents, and MLOps workflows using Pin econe, Weights & Biases, LangChain, LangGraph, MLflow, FastAPI, Docker, Kubernetes, AWS, and GCP.…AI Engineer with 5+ years of experience building and deploying production-grade AI solutions focused on LLMs, Generative AI, NLP, RAG, and Machine Learning engineering. Experienced in designing scalable AI applications, conversational AI agents, semantic search platforms, recommendation systems, and end-to-end ML pipelines (data processing, training, evaluation, deployment, and monitoring). Strong expertise in LLM fine-tuning, prompt engineering, vector databases, AI agents, and MLOps workflows using Pin econe, Weights & Biases, LangChain, LangGraph, MLflow, FastAPI, Docker, Kubernetes, AWS, and GCP.

AB D UL R EH M AN AI E ngin eer ab d u l

AI Engineer, Data Scientist, Software Engineer, +3

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AI Engineer with 5+ years of experience building and deploying production-grade AI solutions focused on LLMs, Generative AI, NLP, RAG, and Machine Learning engineering. Experienced in designing scalable AI applications, conversational AI agents, semantic search platforms, recommendation systems, and end-to-end ML pipelines (data processing, training, evaluation, deployment, and monitoring). Strong expertise in LLM fine-tuning, prompt engineering, vector databases, AI agents, and MLOps workflows using Pin econe, Weights & Biases, LangChain, LangGraph, MLflow, FastAPI, Docker, Kubernetes, AWS, and GCP.…AI Engineer with 5+ years of experience building and deploying production-grade AI solutions focused on LLMs, Generative AI, NLP, RAG, and Machine Learning engineering. Experienced in designing scalable AI applications, conversational AI agents, semantic search platforms, recommendation systems, and end-to-end ML pipelines (data processing, training, evaluation, deployment, and monitoring). Strong expertise in LLM fine-tuning, prompt engineering, vector databases, AI agents, and MLOps workflows using Pin econe, Weights & Biases, LangChain, LangGraph, MLflow, FastAPI, Docker, Kubernetes, AWS, and GCP.

Available to hire

AI Engineer with 5+ years of experience building and deploying production-grade AI solutions focused on LLMs, Generative AI, NLP, RAG, and Machine Learning engineering. Experienced in designing scalable AI applications, conversational AI agents, semantic search platforms, recommendation systems, and end-to-end ML pipelines (data processing, training, evaluation, deployment, and monitoring). Strong expertise in LLM fine-tuning, prompt engineering, vector databases, AI agents, and MLOps workflows using Pin econe, Weights & Biases, LangChain, LangGraph, MLflow, FastAPI, Docker, Kubernetes, AWS, and GCP.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

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Expert

Expert

Expert

Expert

Expert

Work Experience

Senior AI Engineer at Labelbox

January 1, 2025 - Present

Designed and deployed enterprise AI applications using LLMs, Generative AI, and RAG architectures, improving knowledge retrieval accuracy by 30%+ across production workflows. Built data-centric AI pipelines using Labelbox annotation workflows to improve dataset quality and increase model training efficiency by 25%. Developed AI agents and intelligent search solutions using LangChain, LangGraph, vector databases, and transformer-based models for enterprise automation. Fine-tuned and evaluated LLMs for domain-specific applications, reducing hallucination rates and improving response reliability by 20%+. Implemented scalable ML APIs using Python, FastAPI, Docker, and AWS to support high-performance AI services in production. Collaborated with engineering and product teams to deliver AI solutions that improved operational efficiency and reduced manual workflows.

Senior AI/ML Engineer at Penqor

January 1, 2025 - Present

Led development of intelligent systems and large-scale model integration. Designed agent-based workflows for automated code review, task planning, and PR creation. Built production-ready applications with CI/CD pipelines, permission models, and audit logging. Collaborated with stakeholders to translate business needs into AI-driven automation strategies.

Machine Learning Engineer at Weights & Biases

January 1, 2022 - December 1, 2024

Developed ML experimentation workflows using Weights & Biases, improving model tracking, evaluation, and reproducibility across ML projects. Built and optimized deep learning pipelines for NLP, recommendation systems, and predictive analytics, improving model development efficiency by 35%. Implemented MLOps workflows using W&B, MLflow, Docker, Kubernetes, and AWS to streamline model deployment and lifecycle management. Created automated model evaluation and monitoring pipelines to detect performance degradation and maintain production reliability. Optimized training workflows, hyperparameter tuning processes, and experiment management, reducing iteration cycle time by 30%. Collaborated with ML engineers and data scientists to improve model performance, scalability, and deployment reliability.

Machine Learning Engineer at HireGPT.Co

January 1, 2022 - January 1, 2024

Developed and optimized LLM-based solutions to improve operational efficiency. Integrated AI agents with existing systems for automated code review, test generation, and release summarization. Deployed scalable services using Python, FastAPI, and Docker, collaborating with cross-functional teams to ensure reliability and performance.

Data Science & Machine Learning at Cura Label Technologies

January 1, 2021 - January 1, 2022

Analyzed large codebases and datasets to extract actionable insights. Built predictive models and automated workflows for code quality and performance metrics. Partnered with engineering teams to implement analytics solutions that informed decisions and improved development processes.

AI Engineer at Pinecone

October 1, 2020 - April 1, 2022

Developed AI-powered semantic search and recommendation systems using Pinecone vector database, embeddings, and transformer-based retrieval models. Built RAG applications integrating vector search, NLP pipelines, and LLMs, improving information retrieval accuracy by 35%. Created scalable embedding pipelines using BERT, Sentence Transformers, and modern NLP architectures for large-scale document processing. Developed production-ready AI APIs using Python, FastAPI, Docker, and cloud infrastructure for real-time inference applications. Optimized vector indexing, similarity ranking, and retrieval evaluation techniques to improve search relevance and user experience. Integrated AI capabilities into customer-facing applications enabling automation and personalized recommendations.