Gen AI/ML Development: Intelligent automation for enhanced efficiency.

The ultimate plan is to start with low risk innovation generating tangible outcomes for quick “Return On Investment (ROI)” by means of a dedicated cross functional team working alongside. With this approach, Sandhya orchestrates the deliverables at a fast pace, launching MVPs within 6 to 12 weeks.

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Sandhya's expertise in Large Language Models (LLMs) like GPT-4 facilitates advanced Natural Language Processing (NLP) tasks, empowering enterprises to extract insights and automate processes efficiently. Leveraging technologies such as Presto (interactive SQL query engine), Apache Spark, and Apache Kafka, Sandhya optimizes Real-time Streaming and large-scale Data Processing, ensuring that businesses stay agile and responsive in today's data-driven landscape. Some of the Gen AI models used to deliver projects are Gemini, GPT-4, OpenAI, ChatGPT 3.5, Amazon Bedrock, AWS CodeWhisperer, PaLM2, GitHub CoPilot, Titan and more.

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Sandhya leverages multiple foundation models to perform a wide variety of tasks using the applications built on top of them. She takes two approaches based on the business requirements: (a) Leverage the foundation models largely as-is within the applications with some customizations and embeddings. (b) ine-tune the foundation models with additional relevant data and tuned parameters prior to embedding them in the within applications to deliver high quality outputs.

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Previously designed and developed projects use:

 

• Prompt Engineering to Generate Content, Transform Content, provide Summarization and Classification along with Analytics.

• Autonomous Coding to Generate Code, Assist with Code, Transform Code, Standardize Code, Automate Testing and Infrastructure deployments.

• Business Intelligence to Visualize Data at Scale, Automate Business Processes and provide Enterprise Security.

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