Piyush Saluja

AI Chatbot Development & Deployment

• Spearheaded the end-to-end design and deployment of AI-powered chatbots for financial and enterprise domains using Azure Cloud, Python, and GenAI, automating complex workflows and significantly improving user efficiency.
• Led the development of a pilot-grade intelligent chatbot integrated with a real-time document pipeline from SharePoint to Azure AI Search, leveraging a scheduler-based automation to deliver instant and context-aware responses.
• Engineered and fine-tuned backend systems for real-time document ingestion, AI-driven retrieval, and NLP prompt optimization, achieving high response accuracy and client satisfaction.
• Collaborated cross-functionally with engineering, product, and client-facing teams to ensure seamless integration, resulting in a highly scalable and reliable AI solution.
• Designed optimized prompts and response logic, enabling the chatbot to handle diverse client queries, thereby improving resolution rates and reducing manual intervention.

Generative AI for Knowledge Extraction

• Developed a document intelligence system for solar energy analysis using Azure AI Search and GenAI, automating extraction of actionable insights across 10+ document repositories.
• Created a semantic AI search layer over indexed data to surface critical insights instantly, facilitating data-driven decisions for energy domain clients.
• Engaged with stakeholders to identify key use cases, delivering a customized GenAI solution that enabled successful deal closure for a pilot project, validating business value and ROI.
• Trained and mentored junior ASEs, fostering GenAI expertise within the team and ensuring knowledge continuity across modules.

Leadership & Client Engagement

• Acted as a key technical liaison with clients, gathering requirements, analyzing pain points, and delivering tailored AI solutions aligned with business goals.
• Provided hands-on mentorship to junior engineers, conducting code reviews, architectural walkthroughs, and capability-building sessions across AI, NLP, and Azure platforms.
• Championed a culture of innovation and performance by delivering solutions focused on efficiency, scalability, and automation using state-of-the-art AI technologies.

• Led the development of machine learning models and tools based on large datasets, including customer feedback, resulting in a 10% increase in customer satisfaction and improved Net Promoter Score (NPS).
• Applied NLP techniques like Topic Modeling and Text Classification to analyze customer behavior data, identifying improvement areas.
• Achieved a 20% enhancement in sentiment analysis accuracy through the development of a robust sentiment analysis model.
• Collaborated closely with customer service teams to analyze customer feedback data, resulting in a 25% reduction in customer support issues.
• Created an automated KPIs Power BI report, reducing tracking and monitoring time by 30%.
• Developed automated workflows and interactive dashboards using Power BI and other visualization tools to communicate insights and recommendations to stakeholders.
• Presented findings to senior management and stakeholders, leading to the adoption of data-driven decision-making processes.

• Identified customer needs and provided customized technical solutions.
• Performed in-depth data analysis, utilizing insights gained to inform strategic decision-making processes.
• Presented complex technical information in an accessible manner to non-technical audiences via presentations and written reports.
• Maintained and updated customer records, ensuring accurate and up-to-date information in the system.
• Collaborated with cross-functional teams to deliver high-quality products on schedule and within budget constraints.