Ali Robin
@alirobin
Senior AI/ML engineer specializing in Generative AI and production MLOps for scalable enterprise systems.
What I'm looking for
I’m a Senior AI/ML Engineer with 7+ years designing, developing, and deploying machine learning solutions for enterprise applications. I specialize in Generative AI, LLMs, NLP, and MLOps—turning models into reliable, production-ready systems.
At LeadsGenius, I led development of GenAI solutions using LLMs, RAG, and AI Agents with LangChain, LangGraph, Hugging Face, and OpenAI APIs. I improved response accuracy by 30%, built scalable API services (FastAPI, Flask, GraphQL, Docker, Kubernetes) supporting 100K+ daily requests, and streamlined pipelines to reduce training time by 35% while improving model accuracy by 18%.
I also strengthened end-to-end deployment and performance through MLOps pipelines with MLflow, DVC, GitHub Actions, CI/CD, AWS SageMaker, AzureML, and containerized releases. I integrated LLM-powered RAG systems with Spark, Airflow, PostgreSQL, MongoDB, Redis, and Elasticsearch—reducing query latency by 45% and increasing retrieval accuracy by 35%.
Earlier, at Zapta Technologies and 10Pearls, I upgraded ML/DL models (Python, TensorFlow, PyTorch) to improve accuracy by 20% and reduce inference time by 30%, while delivering NLP solutions for semantic search, classification, and chatbots. I’ve also built scalable backend systems, ETL pipelines, and secure REST APIs, and I apply the same production mindset to projects like Repurpose.io, h1.co, and Leaseo.ai.
Experience
Work history, roles, and key accomplishments
Senior AI/ML Engineer
LeadsGenius
Jul 2023 - Present (3 years)
Led development of GenAI solutions using LLMs, RAG, and AI agents, improving response accuracy by 30% and building scalable API services supporting 100K+ daily requests. Streamlined ML/DL and MLOps pipelines (MLflow, DVC, CI/CD, SageMaker/AzureML) and improved training, deployment, and retrieval performance.
AI Engineer
Zapta Technologies (Pvt.) Limited
Jan 2021 - Jun 2023 (2 years 5 months)
Upgraded ML/DL models in Python using TensorFlow and PyTorch, improving prediction accuracy by 20% and reducing inference time by 30%. Built and deployed NLP solutions and AI services (FastAPI/Flask/GraphQL, microservices) supporting 50K+ daily requests with 99.9% uptime, and optimized MLOps and cloud pipelines to reduce deployment and data processing time.
Developed scalable backend applications using Python, FastAPI/Flask, SQL, and microservices, supporting 50K+ daily API requests with 99.9% uptime. Built ETL pipelines and automated deployments using Docker and CI/CD tooling, improving data processing performance, API response times, and release reliability.
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Ali hasn't added their education
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