Sai Harish Ch Email & Phone Number

Boise, Idaho, Us

1. Generative AI Engineer with expertise in deploying advanced applications, including PDF Q&A, and media tagging (images and videos). Worked on exploring multimodel capabilities of LLM.2. Model Comparison & Evaluation: Conducted in-depth comparisons across leading models such as Google Gemini, Azure OpenAI, and Llama 3.2 to determine best-fit solutions.3. Custom Evaluation Framework: Developed custom Python scripts for thorough model evaluation, ensuring accuracy and efficiency.4. Image & Video Processing: Extensive experience in tagging and content extraction from multimedia files, enhancing information accessibility.5. Cross-platform Deployment: Adapted AI solutions for diverse client needs using platforms like Vertex AI, GCP Cloud Storage, and Databricks.

New Brunswick, Nj, Us

Developed interactive web applications using Streamlit, leveraging Python for backend logic ad frontend interface design.Optimized application performance and responsiveness by employing Python libraries and efficient coding practices.Conducted API integrations and handled data formatting to seamlessly connect the application frontend with the Generative AI backend.Ensured smooth communication between the Streamlit app and the Generative AI model, managing data flow and handling user requests/responses.Experience in building chat bot using llama index and Langchain using various query engines and using weights and biases for fine tuning the model.Orchestrated and managed project timelines, deliverables, and milestones related to the integration of Generative AI into Streamlit applications.Deployed LLM models using Langchain in Dominos.Implemented dynamic and responsive visual components to display AI-generated content using Python and Streamlit's functionalities.Ability to integrate databases and various data sources into a unified system and create a User InterfaceOrchestrated and managed project timelines, deliverables, and milestones related to the integration of Generative AI into Streamlit applications.

Cincinnati, Ohio, Us

• Worked on Azure cognitive search using Generative AI with implementation of langchain framework, where creating a similarity search on PDFs, and storing the results in blob storage.• Collaborate with cross-functional teams to design and execute projects that leverage LLM operations for text summarization, translation.• Analyse and summarize market data, customer reviews, and media trends using LLM model.• Get the text data and store in the form of vector indices to the azure vector store. Then used Azure Cognitive AI and performed similarity search.• Create and maintain optimal data pipeline architecture in cloud Microsoft Azure using Data Factory and Databricks. • Built database Model, APIs and Views utilizing Python, to build interactive web solutions • Design and develop ETL integration patterns using Python on Spark• Implemented data movement from File system to Azure Blob storage using python API and ADF.• Create and maintain optimal data pipeline architecture in cloud Microsoft Azure using Data Factory and Databricks.• Working with Azure Data Factory, Snowflake, Databricks and other ETL tools with python and Pyspark.• Used Azure BLOB and Azure ADLS storage to archive data.• Created Delta tables from the consumed data using Databricks and used Service Principle to access the files from storage account ADLS gen2.• Created Databricks notebooks for creating the tables and health check validation of the data.• Implemented the Logic App to send an email notification with attached Health check report to the business on an daily basis.• Enable Azure Monitoring Service to keep track for jobs which are scheduled to run on a daily basis.• Create and maintain optimal data pipeline architecture in cloud Microsoft Azure using Data Factory and Azure Databricks.• Worked on Synapse, Azure SQL, Azure Data Lake Gen2, Azure Blob Storage, Azure Container services, Synapse, Azure Functions, SQL Datawarehouse and Service Bus.

San Jose, Ca, Us

• Build visualizations and demonstrate the results of the model to the stakeholders and leadership team• Adaptability and propensity to learn new tools and programs, as well as to provide estimations, planning, design solutions, development, testing, and deployment activities.• Must be conversant with agile methodologies and tools and have a track record of delivering products in a production environment.• Created Linked Services for multiple source system (i.e.: Azure SQL Server, ADLS, BLOB, Rest API).• Worked on copy activities and implemented the copy behavior’s such as flatten hierarchy, preserve hierarchy and Merge hierarchy;• Exposure on Azure Data Factory activities such as Lookups, Stored procedures, if condition, for each, Set Variable, Append Variable, Get Metadata, Filter and wait.• Created Pipeline’s to extract data from on premises source systems to azure cloud data lake storage; Extensively worked on copy activities and implemented the copy behavior’s such as flatten hierarchy, preserve hierarchy and Merge hierarchy;• Configured the logic apps to handle email notification to the end users and key shareholders with the help of web services activity; create dynamic pipeline to handle multiple source extracting to multiple targets; extensively used azure key vaults to configure the connections in linked services.• Configured and implemented the Azure Data Factory Triggers and scheduled the Pipelines; monitored the scheduled Azure Data Factory pipelines and configured the alerts to get notification of failure pipelines.• Developed and implemented predictive models using machine learning algorithms such as linear regression, classification, Random Forests, K-means clustering, XG Boost and regularization for data analysis.• Application of various machine learning algorithms and statistical modeling like decision trees, text analytics, supervised and unsupervised, regression models

Montreal, Quebec, Ca

• Recreating existing application logic and functionality in the Azure Data Lake, Data Factory, SQL Database and SQL Data warehouse environment.• Hands - on experience in Azure Cloud Services (PaaS & IaaS), Azure Synapse Analytics, SQL, Azure Data Factory, Azure Analysis services, Application Insights, Azure Monitoring, Key Vault, Azure Data Lake.• Migrated workloads from ON Premises to MS Azure using Azure Site Recovery.• Involved in the design of Data-warehouse using Star-Schema methodology and converted data from various sources to SQL tables.• Responsible for designing and implementing machine learning solutions with tasks involving data cleaning, analyzing, modeling, and selecting the important features.• Responsible for building models that are interpretable, explainable, and sustainable at scale and meets the business needs.• Identify and respond to system incidents and problems, including performing troubleshooting procedures and escalating as necessary.• Application of various machine learning algorithms and statistical Modelling like decision trees, regression models, neural networks, SVM, clustering to identify volume using Scikit-learn package in python.