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I am a results-driven AI/ML developer and AI solutions architect with over 10 years of experience delivering AI-powered applications, data science workflows, and enterprise-grade AI systems across the enterprise, healthcare, and education sectors. I specialize in Retrieval-Augmented Generation (RAG), LLM fine-tuning, and generative AI solutions, leveraging frameworks such as LangChain, LlamaIndex, OpenAI API, Cohere, PyTorch, TensorFlow, and Scikit-learn to create contextually accurate, production-ready models. I have extensive experience in building and deploying vector database-backed AI pipelines with Pinecone, FAISS, and Oracle DB 23c AI Vector Search. I am proficient in orchestrating workflows with n8n, developing robust ETL pipelines using Python, PySpark, SQLAlchemy, and Apache Spark, and aligning healthcare data systems with HL7 FHIR, SNOMED CT, and LOINC standards. I have a proven track record deploying AI solutions on Oracle Cloud Infrastructure (OCI), AWS, and Kubernetes (OKE), incorporating Docker containerization, GitHub Actions CI/CD, and IAM role-based access control for secure, scalable deployment. Additionally, I am skilled in REST API development, data preprocessing, feature engineering, model evaluation, and multimodal AI integration, including text-to-speech (TTS) and AI imagery. I am recognized for technical leadership, mentoring teams, and modernizing legacy workflows including large-scale SAS-to-Python/R migrations, Apache Spark performance optimization, and curriculum development for Big Data, Machine Learning, and Generative AI.…I am a results-driven AI/ML developer and AI solutions architect with over 10 years of experience delivering AI-powered applications, data science workflows, and enterprise-grade AI systems across the enterprise, healthcare, and education sectors. I specialize in Retrieval-Augmented Generation (RAG), LLM fine-tuning, and generative AI solutions, leveraging frameworks such as LangChain, LlamaIndex, OpenAI API, Cohere, PyTorch, TensorFlow, and Scikit-learn to create contextually accurate, production-ready models. I have extensive experience in building and deploying vector database-backed AI pipelines with Pinecone, FAISS, and Oracle DB 23c AI Vector Search. I am proficient in orchestrating workflows with n8n, developing robust ETL pipelines using Python, PySpark, SQLAlchemy, and Apache Spark, and aligning healthcare data systems with HL7 FHIR, SNOMED CT, and LOINC standards. I have a proven track record deploying AI solutions on Oracle Cloud Infrastructure (OCI), AWS, and Kubernetes (OKE), incorporating Docker containerization, GitHub Actions CI/CD, and IAM role-based access control for secure, scalable deployment. Additionally, I am skilled in REST API development, data preprocessing, feature engineering, model evaluation, and multimodal AI integration, including text-to-speech (TTS) and AI imagery. I am recognized for technical leadership, mentoring teams, and modernizing legacy workflows including large-scale SAS-to-Python/R migrations, Apache Spark performance optimization, and curriculum development for Big Data, Machine Learning, and Generative AI.

Atta Shah

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I am a results-driven AI/ML developer and AI solutions architect with over 10 years of experience delivering AI-powered applications, data science workflows, and enterprise-grade AI systems across the enterprise, healthcare, and education sectors. I specialize in Retrieval-Augmented Generation (RAG), LLM fine-tuning, and generative AI solutions, leveraging frameworks such as LangChain, LlamaIndex, OpenAI API, Cohere, PyTorch, TensorFlow, and Scikit-learn to create contextually accurate, production-ready models. I have extensive experience in building and deploying vector database-backed AI pipelines with Pinecone, FAISS, and Oracle DB 23c AI Vector Search. I am proficient in orchestrating workflows with n8n, developing robust ETL pipelines using Python, PySpark, SQLAlchemy, and Apache Spark, and aligning healthcare data systems with HL7 FHIR, SNOMED CT, and LOINC standards. I have a proven track record deploying AI solutions on Oracle Cloud Infrastructure (OCI), AWS, and Kubernetes (OKE), incorporating Docker containerization, GitHub Actions CI/CD, and IAM role-based access control for secure, scalable deployment. Additionally, I am skilled in REST API development, data preprocessing, feature engineering, model evaluation, and multimodal AI integration, including text-to-speech (TTS) and AI imagery. I am recognized for technical leadership, mentoring teams, and modernizing legacy workflows including large-scale SAS-to-Python/R migrations, Apache Spark performance optimization, and curriculum development for Big Data, Machine Learning, and Generative AI.…I am a results-driven AI/ML developer and AI solutions architect with over 10 years of experience delivering AI-powered applications, data science workflows, and enterprise-grade AI systems across the enterprise, healthcare, and education sectors. I specialize in Retrieval-Augmented Generation (RAG), LLM fine-tuning, and generative AI solutions, leveraging frameworks such as LangChain, LlamaIndex, OpenAI API, Cohere, PyTorch, TensorFlow, and Scikit-learn to create contextually accurate, production-ready models. I have extensive experience in building and deploying vector database-backed AI pipelines with Pinecone, FAISS, and Oracle DB 23c AI Vector Search. I am proficient in orchestrating workflows with n8n, developing robust ETL pipelines using Python, PySpark, SQLAlchemy, and Apache Spark, and aligning healthcare data systems with HL7 FHIR, SNOMED CT, and LOINC standards. I have a proven track record deploying AI solutions on Oracle Cloud Infrastructure (OCI), AWS, and Kubernetes (OKE), incorporating Docker containerization, GitHub Actions CI/CD, and IAM role-based access control for secure, scalable deployment. Additionally, I am skilled in REST API development, data preprocessing, feature engineering, model evaluation, and multimodal AI integration, including text-to-speech (TTS) and AI imagery. I am recognized for technical leadership, mentoring teams, and modernizing legacy workflows including large-scale SAS-to-Python/R migrations, Apache Spark performance optimization, and curriculum development for Big Data, Machine Learning, and Generative AI.

Available to hire

I am a results-driven AI/ML developer and AI solutions architect with over 10 years of experience delivering AI-powered applications, data science workflows, and enterprise-grade AI systems across the enterprise, healthcare, and education sectors. I specialize in Retrieval-Augmented Generation (RAG), LLM fine-tuning, and generative AI solutions, leveraging frameworks such as LangChain, LlamaIndex, OpenAI API, Cohere, PyTorch, TensorFlow, and Scikit-learn to create contextually accurate, production-ready models.

I have extensive experience in building and deploying vector database-backed AI pipelines with Pinecone, FAISS, and Oracle DB 23c AI Vector Search. I am proficient in orchestrating workflows with n8n, developing robust ETL pipelines using Python, PySpark, SQLAlchemy, and Apache Spark, and aligning healthcare data systems with HL7 FHIR, SNOMED CT, and LOINC standards. I have a proven track record deploying AI solutions on Oracle Cloud Infrastructure (OCI), AWS, and Kubernetes (OKE), incorporating Docker containerization, GitHub Actions CI/CD, and IAM role-based access control for secure, scalable deployment. Additionally, I am skilled in REST API development, data preprocessing, feature engineering, model evaluation, and multimodal AI integration, including text-to-speech (TTS) and AI imagery. I am recognized for technical leadership, mentoring teams, and modernizing legacy workflows including large-scale SAS-to-Python/R migrations, Apache Spark performance optimization, and curriculum development for Big Data, Machine Learning, and Generative AI.

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Intermediate

Work Experience

Artificial Intelligence Developer at Oracle

January 1, 2023 - Present

Working on the migration from intent classification to RAG-based conversational AI, leveraging Oracle Generative AI (LLaMA 2, Cohere) and Oracle DB 23c with AI Vector Search to improve accuracy and relevance, enhancing customer self-service. Engineered retrieval workflows combining Oracle's vector search, system prompt engineering, and metadata-based filtering to deliver contextually relevant answers. Developed data ingestion pipelines via SuiteTalk REST APIs and internal documentation, populating the AI vector store with NetSuite-specific knowledge. Deployed enterprise-grade AI components on Oracle Kubernetes Engine (OKE), implementing OCI IAM role-based access control for security.

AI Solutions Developer at Wad Zar Analytics

January 1, 2017 - Present

Designed and prototyped a Retrieval-Augmented Generation (RAG) chatbot using n8n for workflow orchestration, LlamaIndex for document indexing, LLMs such as OpenAI GPT and Cohere, and vector database integration (e.g., Pinecone, FAISS). Trained the system on a domain-specific knowledge base, applying prompt engineering, metadata-based filtering, and context-aware retrieval to improve accuracy and reduce hallucinations. Developed a cross-platform AI app using ChatGPT API for personalized children's bedtime stories incorporating customizable characters and themes, with planned integration of TTS and AI imagery for a multimodal experience. Built a PyTorch model to classify cow feed as over, under, or optimal achieving 85% accuracy and enhanced it with data preprocessing and augmentation.

AI Solutions Specialist at Canadian Institute for Health Information

January 1, 2025 - August 14, 2025

Supported the migration of SAS code to Python and R under the Analytical Tool Modernization (ATM) initiative. Evaluated GitHub Copilot and ChatGPT for legacy code conversion and QA automation; developed custom GPTs tailored to CIHI workflows to assist with version controlled education, SAS-to-Python transition, and standardized code review practices. Developed internal training courses on Big Data, PySpark, Debugging, Profiling, Optimization, and new project development. Rebuilt ETL pipelines extracting data from Oracle databases using Python (SQLAlchemy and PySpark) improving efficiency and standardization. Optimized Apache Spark performance by profiling jobs, auditing DataFrame schemas, enforcing type consistency, and tuning Parquet encoding to reduce I/O and memory overhead. Designed and standardized healthcare data pipelines using schema modeling (ER, UML), aligned with HL7 FHIR, SNOMED CT, LOINC, and other data standards for accurate and consistent data integration. Communicated c

Software Developer at Oracle NetSuite

January 1, 2023 - August 14, 2025

Designed and maintained full-stack features for the NetSuite Support Assistant using Oracle Digital Assistant (ODA) and RAG pipeline supporting 31,000+ global customers. Helped source, clean, and structure datasets of Q&A pairs and intent examples used for both traditional and RAG-based chatbot evaluation. Developed intelligent automation tools using JavaScript, Node.js, and Python to enhance self-service and support capabilities. Built and maintained full-stack Slack bots, handling both front-end interfaces and backend logic to support internal automation and productivity use cases.

Instructor Data Analytics Program at McMaster University

January 1, 2025 - August 14, 2025

Increased student enrollment by 20% by teaching Data Science courses including Statistics, Data Analysis, and Machine Learning. Increased student satisfaction scores by 25% through curriculum enhancements and interactive learning methodologies. Reduced curriculum development time by 20% by adopting agile methodologies and iterative feedback cycles.

Instructor Data Science Program at Sheridan College

January 1, 2022 - August 14, 2025

Teaching in-class and online courses in Python Programming (Django Framework), Statistics and Data Exploration, Machine Learning and Predictive Analytics, Data Modelling, and Big Data Analytics. Improved course relevance by 25%, leading 4 course revamps and guiding 11 instructors. Developed curriculum for Machine Learning, Big Data Tools, Data Modelling, and Natural Language Processing courses of Data Science program. Set up, configured, and managed AWS EC2 instances to enable students to run practical exercises and assessments in the Big Data Tools for Data Science course.

AI Developer at ESI Toronto

January 1, 2018 - August 14, 2025

Developed intelligent robotic systems using deep reinforcement learning (DDPG) with Python and simulated environments like Gazebo (ROS) and MATLAB. Built custom firmware in C/C++ and Python-based interfaces to control robot arm kinematics, torque, and motion dynamics. Integrated real-time communication via LabVIEW and Arduino (I2C, UART), ensuring precise hardware-software coordination. Applied strong version control practices using Git and collaborated on complex hardware-software integration projects.