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Hello! I'm Salminhas, a machine learning engineer with a decade of experience specializing in Python, R, and Java. I design and deploy scalable AI/ML solutions across computer vision, natural language processing, and recommender systems, with hands-on experience in production environments using Docker, Kubernetes, and major cloud platforms. My work emphasizes robust model evaluation, feature engineering, and end-to-end ML pipelines that deliver measurable business impact. I enjoy collaborating with cross-functional teams and applying deep learning with TensorFlow and PyTorch to real-world problems. I have built memory-enabled conversational agents, implemented MLOps on GCP and Azure, and delivered NLP-driven insights that improve customer outcomes and operational efficiency.…Hello! I'm Salminhas, a machine learning engineer with a decade of experience specializing in Python, R, and Java. I design and deploy scalable AI/ML solutions across computer vision, natural language processing, and recommender systems, with hands-on experience in production environments using Docker, Kubernetes, and major cloud platforms. My work emphasizes robust model evaluation, feature engineering, and end-to-end ML pipelines that deliver measurable business impact. I enjoy collaborating with cross-functional teams and applying deep learning with TensorFlow and PyTorch to real-world problems. I have built memory-enabled conversational agents, implemented MLOps on GCP and Azure, and delivered NLP-driven insights that improve customer outcomes and operational efficiency.

Salminhas

Data Scientist, AI Engineer, Data Analyst, +3

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Hello! I'm Salminhas, a machine learning engineer with a decade of experience specializing in Python, R, and Java. I design and deploy scalable AI/ML solutions across computer vision, natural language processing, and recommender systems, with hands-on experience in production environments using Docker, Kubernetes, and major cloud platforms. My work emphasizes robust model evaluation, feature engineering, and end-to-end ML pipelines that deliver measurable business impact. I enjoy collaborating with cross-functional teams and applying deep learning with TensorFlow and PyTorch to real-world problems. I have built memory-enabled conversational agents, implemented MLOps on GCP and Azure, and delivered NLP-driven insights that improve customer outcomes and operational efficiency.…Hello! I'm Salminhas, a machine learning engineer with a decade of experience specializing in Python, R, and Java. I design and deploy scalable AI/ML solutions across computer vision, natural language processing, and recommender systems, with hands-on experience in production environments using Docker, Kubernetes, and major cloud platforms. My work emphasizes robust model evaluation, feature engineering, and end-to-end ML pipelines that deliver measurable business impact. I enjoy collaborating with cross-functional teams and applying deep learning with TensorFlow and PyTorch to real-world problems. I have built memory-enabled conversational agents, implemented MLOps on GCP and Azure, and delivered NLP-driven insights that improve customer outcomes and operational efficiency.

Available to hire

Hello! I’m Salminhas, a machine learning engineer with a decade of experience specializing in Python, R, and Java. I design and deploy scalable AI/ML solutions across computer vision, natural language processing, and recommender systems, with hands-on experience in production environments using Docker, Kubernetes, and major cloud platforms. My work emphasizes robust model evaluation, feature engineering, and end-to-end ML pipelines that deliver measurable business impact.

I enjoy collaborating with cross-functional teams and applying deep learning with TensorFlow and PyTorch to real-world problems. I have built memory-enabled conversational agents, implemented MLOps on GCP and Azure, and delivered NLP-driven insights that improve customer outcomes and operational efficiency.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Lead Data Scientist at 47Billion

February 20, 2022 - November 24, 2025

Led the development and deployment of advanced AI/ML solutions, including Generative AI, Large Language Models (LLMs), and Retrieval-Augmented Generation for telecom. Designed scalable AI architectures delivering solutions like Executive Analytics Chatbots and Multi-Agent Support Bots using GPT-4, LangChain, LangGraph, and vector databases such as Pinecone and FAISS. Built persistent, memory-enabled conversational agents using LLaMA 3.2, LangSmith, and deployed via Azure Kubernetes Service (AKS). Implemented end-to-end MLOps pipelines on Google Cloud Platform (GCP) and Microsoft Azure, enabling automated training, deployment, and monitoring of ML models with cost-effective scalability. Developed transformer-based NLP models and predictive analytics workflows that generated actionable insights, supporting faster, more informed decision-making across client operations. Worked closely with cross-functional teams including data scientists, designers, and DevOps engineers to drive project d

Senior Data Scientist at Minute

January 1, 2022 - January 1, 2022

Led the development and deployment of advanced AI/ML solutions, including Generative AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) systems for enterprise clients in healthcare, finance, and telecom. Designed scalable AI architectures, delivering solutions like Executive Analytics Chatbots and Multi-Agent Support Bots using GPT-4, LangChain, LangGraph, and vector databases such as Pinecone and FAISS. Achieved measurable outcomes such as a 40–60% improvement in query handling efficiency and 20+ hours/week time savings for executive stakeholders through automation and intelligent insights. Built persistent, memory-enabled conversational agents using LLaMA 3.2, LangSmith, and deployed via Azure Kubernetes Service (AKS), resulting in enhanced customer engagement and streamlined service delivery. Implemented end-to-end MLOps pipelines on Google Cloud Platform (GCP) and Microsoft Azure, enabling automated training, deployment, and monitoring of ML models with co

Data Scientist at HobbyDB

June 1, 2016 - June 1, 2016

Managed a team of four engineers to build a real-time event and dynamic topic detection pipeline on live tweets using NLP techniques across multiple moving time windows. Integrated Twitter Live Tweets API to stream and analyze real-time data, extracting named entities to identify and cluster similar events. Applied burst detection algorithms within defined time windows to surface trending events and measure audience engagement. Achieved 85% accuracy in the entity detection model for identifying bursting events. Utilized Dynamic LDA to uncover latent topics within each event, reaching 82% accuracy in topic classification.

Lead Data Scientist at 47Billion

February 1, 2022 - November 24, 2025

Led the development and deployment of advanced AI/ML solutions including Generative AI, Large Language Models (LLMs), and Retrieval-Augmented Generation for telecom. Designed scalable AI architectures delivering solutions like Executive Analytics Chatbots and Multi-Agent Support Bots using GPT-4, LangChain, LangGraph, and vector databases such as Pinecone and FAISS. Achieved measurable outcomes such as a 40–60% improvement in query handling efficiency and 20+ hours/week time savings for executive stakeholders through automation and intelligent insights. Built persistent, memory-enabled conversational agents using LLaMA 3.2, LangSmith, deployed via Azure Kubernetes Service (AKS). Implemented end-to-end MLOps pipelines on GCP and Microsoft Azure, enabling automated training, deployment, and monitoring of ML models with scalable cost profiles.

Senior Data Scientist at Minute

May 1, 2019 - January 1, 2022