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Prasad Jaywant

Prasad Jaywant

AI Enterprise Architect | Chief Consultant

Talent
NashikMember since June 15, 2026
MicroservicesLLMsRAGAI/MLAzureDevOpsIOTEnterprise ArchitectAi ConsultantPythonWorkflow AutomationAgentic AIMicrosoft AzureAzure IoT PlatformAI Computer VisionOpenCV
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MicroservicesLLMsRAGAI/MLAzure

About

Helping organizations transform data into business value through AI-powered platforms, Cloud, Advanced Analytics & Solution Architecture for 30+ years. Available for remote/contract & advisory consulting roles in India and overseas.

Experience

Senior AI Consultant - Spark Infotech

(2024-11)

  • Leading design of an agentic AI workflow automation solution for an SME using LLM-based orchestration, with the goal of reducing manual processing effort and improving turnaround time.
  • Architected EnergyIQ and CarbonIQ digital platforms for energy and carbon assessments, enabling data-driven sustainability analysis for industrial and commercial customers.
  • Currently developing Microsoft AI Agent Framework for one of the fastest-growing private life insurance company in India. Aiming 40% reduction in claim processing time, 30% underwriting efficiency improvement, and 25% increase in fraud detection accuracy.

Enterprise Solutions Architect - UST Global

(2022-08 - 2024-10)

  • Provided strategic client advisory, develop enterprise technology roadmaps, and lead stakeholder management to align business objectives, technology investments.
  • Developed Smart Parking Solution based on AI Computer Vision, OpenCV, Python, Azure.
  • Worked with a major retail warehousing client in the US on a Smarter Sorting Modernization program using AI/ML models. Adopted Azure infrastructure architecture covering compute, storage, networking, security, identity, monitoring and integration.
  • Delivered executive dashboards and enterprise reporting solutions that improved operational visibility.

Lead Technical Architect - Secure Group

(2017-02 - 2022-05)

  • Spearheaded high-priority product initiatives in energy and gas smart metering, billing and collection services on the Microsoft Azure IOT Platform.
  • Developed ML algorithms that overcame manually impractical processes leading to automated anomaly detection, with higher precision, reducing error rates by about 70%. This helped reduce energy utility's AT&C losses by about 40%.
  • Designed predictive analytics and monitoring solutions for industrial and energy sector clients.
  • Scaled engineering organization from 50 to 125 professionals while mentoring architects and technology teams.

Education

MBA - Finance - ICFAI, Dehradun, India (2007-01 - 2009-08)

B.Tech - Chemical Engineering - IIT-BHU, India (1986-06 - 1990-05)

Skills

AI Enterprise ArchitectChief Consultant

Reviews

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