Ved Prakash Verma

Accomplished Engineering Manager with over 15 years of experience driving AI automation, product development, and enterprise software solutions. Expertise spans web applications, big data, data analytics, and cloud/on-premise platforms. Proven record of leading cross-functional teams, delivering projects with 99.5% accuracy in automation, and achieving 70% cost savings in financial networks. Recognized for strategic design, proposal development, and execution excellence, consistently aligning technology with business outcomes.

• Developing the Leader in You by Dale Carnegie

• Critical Thinking by Dale Carnegie

• AWS Certified Solutions Architect- Associate

• Sun Certified Java Professional

EPS Payoff Automation (FAI)-

An AI-powered automation solution for title insurance back-office operations, achieving 99.5% accuracy in processing hundreds of daily payoff statements. The system automatically extracts key data, identifies orders, lenders, and charges with interest, and updates wire information seamlessly. Built on a scalable architecture using message queues for email ingestion, container-based API orchestration (OpenAI), back-office applications (C#, EKS), Databricks for analytics, and integrated systems, the solution significantly reduced manual workload, improved operational efficiency, and ensured timely completion of critical workflows.

Software Engineering Manager

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Zaidyn customer engagement, orchestration, dynamic targeting, and omni-channel

ZAIDYN Customer Engagement allows teams to create personalized customer journeys to define, drive and strengthen customer relationships. Dynamic Targeting module (AI-ML driven) identifies the most relevant targets for each cycle, based on predictive trigger conditions, so that reps can make smarter call planning decisions and optimize their time in-field., Data engineering, Spark, Scala, C#, Web API, Angular, Java, Entity Framework, AWS – Infra services, AWS- Lambda-API Gateway, EMR, Step-Functions, Artificial Intelligence, Machine Learning, Data Analytics.

Software Engineering Manager 

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CCM - Orchestration Engine - The Suggestion Engine product generates suggestions for a rep based on the analytic analysis of transaction data collected over the period The project has three major components. A web application for managing engine configurations, a Spark (written in Scala) based application to run on EMR cluster, and a reporting solution, Spark, Scala, C#, Web API, Angular, Entity Framework, Dapper, AWS – Infra services, AWS-Lambda-API Gateway, Technical Lead-Applications Orchestrator Rep, Orchestrator Rep helps a Rep to get useful insights about an HCP and manage the follow-up or interactions on the go It also suggests the next action to be taken based on the insights. This application is built for Desktop and iPad both using responsive user interface., Built on Salesforce platform using Apex, Visual-force, Angular.

Senior Software Engineer

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Enterprise Location Based Services , Enterprise Location Based Services is a distributed application which provides an enterprise solution to all with the POI (Point of Interest) list based on direct inputs. The application covers two basic services one is procurement and second is distribution. Based on client application maintains two basic modules A2A and B2B. There is an Admin module also which is used for the procurement services., Struts Framework, Spring, DB2, Web sphere, Google Map API, Web Services.

Software Engineer

• Best Team award 2023 for ZCE Dynamic Targeting
• AWS Certified Solution Architect Associate 2020
• Dale Carnegie Leadership program degree in 2019
• First prize in Hackathon event held at ZS named ‘iHour’
• Awarded with Project Excellence Award for ELBS project
• Awarded with Director’s Award for ‘ABES–Reincarnation’ project in college
• Certified Java and Advanced Java developer (Java1.6)
• Brought down operating cost of Field Suggestion by 40% and Omni-Channel by 65%