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Greetings, I am a Senior AI Engineer and Data Architect specializing in Machine Learning, Deep Learning, Federated Learning, LLMs, AI Automation, and Data Architecture. I focus on building scalable, secure, and production-ready AI and data solutions that solve real business problems. My core strength lies in designing end-to-end AI and data systems, from data ingestion, data modeling, and data processing to model development, deployment, automation, and business intelligence. I have strong experience in LLM-based RAG systems, computer vision, privacy-preserving AI using Federated Learning, and modern data platforms. I also work on enhancing AI security through Blockchain integration where applicable. - Key Expertise: * Data Architecture & Engineering * Data Lake, Data Warehouse, and Lakehouse Architecture * Data Modeling: Star Schema, Snowflake Schema * ETL/ELT Pipelines and Data Integration * Data Governance, Data Quality, and Metadata Management * Batch and Real-Time Data Processing * Big Data Platforms: Spark, Hadoop, Cloudera CDP * DataOps, CI/CD, and MLOps - Generative AI and Automation * LLMs, RAG systems, chatbots * AI workflow automation and integrations - Advanced AI * Federated Learning * Secure AI systems with Blockchain integration - Machine Learning * Regression models, Decision Trees, SVM * Ensemble methods: Random Forest, Gradient Boosting, XGBoost * Probabilistic and distance-based models: Naive Bayes, KNN - Deep Learning * ANN, CNN, RNN, LSTM, GAN * Model optimization and deployment - Computer Vision * Image classification, object detection, segmentation I am passionate about collaborating with clients to deliver robust, efficient, and future-ready AI and data solutions. If you are looking for a Senior AI Engineer and Data Architect who combines research-level expertise with real-world implementation, I would be happy to discuss your project.

You probably think clicking "deploy" on Databricks from the cloud marketplace is all it takes to build a modern data stack. Instead, you get unmanageable infrastructure, skyrocketing costs, and pipelines feeding reports nobody trusts. 𝗜 𝗳𝗶𝘅 𝘁𝗵𝗮𝘁. 𝗡𝗼 𝗮𝗴𝗲𝗻𝗰𝗶𝗲𝘀, 𝗻𝗼 𝗯𝗹𝗼𝗮𝘁. Just a multi-certified, 5+ years of experience Cloud Solutions Architect building automated, high-integrity platforms that turn raw data into a competitive advantage. If you shoot me a invitation or message I'll send you a personalized Loom video back on how I may be able to help you; and of course, to prove that I'm the real deal, 𝗻𝗼 𝗔𝗜 𝗶𝗻𝘃𝗼𝗹𝘃𝗲𝗱! Whether you are building a greenfield lakehouse from scratch or migrating legacy systems to the cloud, I architect efficient, cost-effective environments that scale without the overhead. I understand the business bottom line just as well as the underlying code. ✪ 100% Job Success Score | 5.0★ average ✪ Proven experience on multi-cloud architectures 💡 𝗪𝗵𝗮𝘁 𝗜 𝗱𝗼: • 𝗗𝗮𝘁𝗮 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴: I build production-ready environments using Terraform. No manual marketplace or standard deployments that break at scale. • 𝗥𝗲𝗹𝗶𝗮𝗯𝗹𝗲 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴: Raw data becomes actionable. I build resilient Medallion architectures and automated ETL/ELT pipelines so your stakeholders actually trust the numbers. • 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗠𝗟𝗢𝗽𝘀: I bridge the gap between data engineering and machine learning. Using MLflow and Databricks Model Serving, I operationalize models into scalable, real-time REST endpoints and automated streaming inference pipelines. • 𝗚𝗼𝘃𝗲𝗿𝗻𝗮𝗻𝗰𝗲 & 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆: Proper data governance utilizing Unity Catalog (no legacy Hive metastores) to ensure your data is accessible, secure, and future-proof. • 𝗖𝗹𝗼𝘂𝗱 𝗖𝗼𝘀𝘁 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻: Most companies overspend on cloud infrastructure. I architect systems that pay for themselves in weeks by eliminating overhead and inefficiencies with efficient auditing and monitoring features. ✅ 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 (𝘃𝗲𝗿𝗶𝗳𝗶𝗲𝗱): • Databricks Professional Data Engineer • Databricks Associate Data Engineer • Databricks Lakehouse Fundamentals • GCP Professional Data Engineer • GCP Associate Cloud Engineer • GCP Cloud Digital Leader • AWS Associate Solutions Architect • AWS Cloud Practitioner 🔧 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 𝘄𝗶𝘁𝗵 𝗖𝗹𝗼𝘂𝗱 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀: • 𝗗𝗮𝘁𝗮𝗯𝗿𝗶𝗰𝗸𝘀: Workflows, LDP (Lakeflow Declarative Pipelines), Unity Catalog, Workflows, Databricks SQL, MLFlow. • 𝗔𝗺𝗮𝘇𝗼𝗻 𝗪𝗲𝗯 𝗦𝗲𝗿𝘃𝗶𝗰𝗲 (𝗔𝗪𝗦): EMR, Athena, Redshift, Glue, S3, RDS, Kinesis Data Firehose, Kinesis, and Data Streams. • 𝗚𝗼𝗼𝗴𝗹𝗲 𝗖𝗹𝗼𝘂𝗱 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺 (𝗚𝗖𝗣): Bigquery, Dataform, Composer, Dataflow, Dataproc, Cloud Storage, Pub/Sub, Cloud Functions, and Looker Studio. • 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗔𝘇𝘂𝗿𝗲: Data Factory, Synapse, and Storage Account. • 𝗢𝘁𝗵𝗲𝗿𝘀: Terraform, dbt, Airflow, Airbyte, Hadoop, and Hive. ⚙️ 𝗖𝗼𝗿𝗲 𝗲𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲: • 𝗥𝗼𝗹𝗲𝘀: Data Architect, Data Engineer, Solutions Architect, Platform Engineer • 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺𝘀: Databricks (Delta Lake, Unity Catalog, Lakeflow, Workflows), BigQuery • 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲: Infrastructure as Code (IaC), Terraform, Multi-Cloud (AWS, GCP, Azure) • 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲: Medallion Architecture, Data Lakehouse, Data Governance, Data Quality, Machine Learning • 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴: PySpark, Python, SQL, dbt, Apache Airflow, ETL/ELT, CDC, Batch and Stream Processing

About Me: I’m an AWS-certified Machine Learning Engineer with 4+ years of hands-on experience building and deploying production-grade AI and ML systems. I specialize in Large Language Model (LLM) development, Retrieval-Augmented Generation (RAG) pipelines, and Natural Language Processing (NLP) applications such as classification, summarization, and sentiment analysis. With deep expertise in AWS SageMaker and Bedrock, I help organizations move generative AI projects from proof-of-concept to production, ensuring scalability, compliance, and performance. My focus is on building reliable, maintainable AI solutions that integrate seamlessly into existing business workflows. Currently pursuing my MSc in Computer Science (AI/ML) at Georgia Tech, I combine strong theoretical foundations with proven practical skills to deliver solutions that truly drive business outcomes. Services I Offer: 1. Fine-tuning Large Language Models (LLMs) for domain-specific applications 2. Building end-to-end RAG (Retrieval-Augmented Generation) systems with vector databases (Pinecone, Bedrock KB, Opensearch ) 3. Developing AI Agents for intelligent automation and knowledge retrieval 4. Designing and deploying NLP solutions – classification, summarization, sentiment analysis, entity extraction 5. Prompt engineering and model optimization for improved performance and accuracy 6. Production ML Systems – CI/CD pipeline automation, model versioning, and continuous monitoring using AWS SageMaker and related services Skills: Programming: Python, PySpark, JavaScript, FastAPI AI/ML: LLM Development (Hugging Face, LangChain, Bedrock), NLP (spaCy, Transformers) Frameworks/Libraries: Scikit-learn, Pandas, NumPy, TensorFlow, PyTorch Cloud: AWS (SageMaker, Bedrock, Lambda, Glue, API Gateway, CloudWatch, S3) Model Lifecycle: MLflow, CI/CD for ML, Model Monitoring Databases: SQL, Pinecone (Vector DB), DynamoDB AI Optimization: Prompt Engineering, Model Fine-Tuning, Quantization Visualization: Tableau, AWS QuickSight Education: 🎓 MSc in Computer Science (AI/ML) – Georgia Institute of Technology, Atlanta, United States. 🎓 MSc in Cloud Computing (Software Engineering) – Munster Technology University, Cork, Ireland 🎓 BEng in Computer Engineering – Federal University of Technology, Owerri, Nigeria. Certifications: ✅ AWS Certified Solutions Architect – Associate ✅ AWS Certified Machine Learning – Specialty ✅ AWS Certified GenAI Developer – Professional (In progress) Industry Experience: AWS Data/ML Engineer @ HiveTekCorp (Dec 2025 - till present) MLOps Engineer @ Veterans United (Sept 2022 - Sept 2023) Data Scientist @ Veterans United (Dec 2020 - Sept 2022)

I build AI systems that reason, not just match vectors, From RAG-based chatbots to AI agents powered by Neo4j and OWL-based ontologies. Worked with Mercedes Benz, Philips and QpiAI before to make smart RAG and semantic knowledge systems. Hi, I'm a Ontologist + Graph Engineer with 2+ years of production experience helping startups and enterprises turn complex knowledge into smart, conversational systems Here are some of the things I know how to do: ⦁ LLMs & NLP: Raptor, GraphRAG, prompt engineering, semantic search, vector databases. ⦁ MLOps & Deployment: MLflow, DVC, CI/CD (Jenkins, CircleCI), model ensembling. ⦁ Ontology Engineering (OWL, SWRL, SKOS, Turtle): Crafting rich knowledge graphs with logical reasoning in Protégé. ⦁ RDF & Data Transformation: Structuring raw data into interconnected RDF triples. (JSON-LD, XML) ⦁ Semantic-AI Fusion: Blending symbolic reasoning with neural retrieval strategies like Raptor, Fusion, Query Expansion, Contextual Retrieval, and Re-ranking ⦁ Structured LLM Responses: Ensuring reliable, schema-aligned outputs using Pydantic for validation and API interaction ⦁ Model Integration: Leveraging OpenAI, open Source Models -LLaMA, Gemini and vector databases for efficient hybrid search. If you're building AI that needs to truly understand — not just retrieve — I’d be excited to collaborate.

I'm a results-driven Senior Data Engineer specializing in building cloud-native data pipelines and architectures that transform raw data into actionable business insights. With 100% job satisfaction and a 5-star rating, I deliver solutions that exceed expectations. What I Bring: Cloud Expertise: Azure, GCP, and AWS with deep experience in Databricks, BigQuery, and Data Factory Real-Time Processing: Built streaming pipelines reducing reporting latency from hours to minutes Enterprise Scale: Consolidated 50+ data sources, processed 100M+ daily transactions, and supported 1000+ users Architecture Design: Expert in Lakehouse, Medallion, and Star Schema implementations with strong data governance Proven Results: Reduced reporting latency by 98% through real-time pipeline optimization Improved query performance by 40% with strategic data modeling Achieved 35% increase in compliance reporting accuracy Delivered zero-downtime deployments with automated CI/CD I partner closely with stakeholders to understand business needs and deliver data solutions that drive decision-making. Whether it's building real-time analytics platforms, implementing data governance, or optimizing existing pipelines, I focus on scalable, maintainable solutions. Let's discuss how I can help transform your data into a strategic asset.

Product Data | Data Enrichment and Data Cleansing | Data Classification Huge Experience in All with Web Research, Web Scraping, Data Extraction, Taxonomy, Metadata and Data Entry, Microsoft Excel, Spread Sheets, Online Research, Google Sheets. Knowledge in Industry Taxonomy Research , Industry Sector Classification, Company Categorization, Product Categorization, Company mapping, Indexing, Semantic Data Enrichment ,Bulk Data Handling. Building & Enhancing product Taxonomy through detailed research and information gathering and ontology practises. E-commerce Operations, Product Catalog, Product Taxonomy and Taxonomy Enhancements and Metadata. I do text annotations of reviews, classification and categorization of products and text such as articles, white paper, webcast ,podcast ,claims, tweets and URL pages, e.t.c. ✔ TOP RATED PLUS Freelancer ✔ 100 % Job Success Rate ✔ Within 24-Hours response rate My Core Competencies and Area of Expertise: ✔ Data Entry ✔ Material Cataloging & Classification ✔ E-Commerce Taxonomy Organization ✔ Taxonomy & Schema Development ✔ SKU Creation & Attribute Enrichment ✔ E-commerce Data Analysis ✔ Data Labeling ✔ Data Annotation ✔ Data Mining ✔ Data Scraping ✔ Data Extraction from PDF ✔ Web Scraping ✔ Data Collection ✔ Google Business Listings search ✔ Collecting Annual & Sustainability reports ✔ Online research ✔ Data organization ✔ Product Data Extraction ✔ Google Search ✔ Search Engine ✔ Industry Classification ✔ Data Categorization ✔ Category Mapping ✔ Taxonomy Mapping ✔ Content Tagging ✔ Product Listings ✔ Company Research ✔ Supplier Research ✔ Company Categorization ✔ Product Categorization ✔ Data Scraping from Directories ✔ Data Extraction from PDF ✔ Data Scraping from Websites ✔ Resources (Images, Documents) Downloading ✔ Virtual Assistant ✔ Email Sourcing ✔ Lead Generation ✔ LinkedIn Research ✔ Contact List Building ✔ Mailing List development ✔ Email List Generation ✔ Annual Reports Link Collection ✔ Sustainability Reports Link Collection ✔ Exhibitor List Extraction ✔ Defining product types to classes ✔ Attribute Population for Web Stores ✔ Category Tree Development & SKU Structuring Highly Skilled Using These Tools: ✔ LinkedIn Sales Navigator ✔ Data Toolbar for Chrome ✔ Octoparse ✔ Duxsoup ✔ Nymeria ✔ PoolParty ✔ Synaptica ✔ LabelStudio Willing to build and develop my career here with a promise of total commitment. Thank you for your time in reviewing my profile. I am looking forward to our excellent cooperation with my Service. Best Regards, Prema.G