Kishoorkumar R

Associate Consultant

Bengaluru, Karnataka, India9 yrs 9 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in designing scalable data streaming architectures.
Proven track record in AI-powered solutions and customer engagement.
Strong leadership in cross-functional team management.

Stackforce AI infers this person is a SaaS Solution Architect with expertise in AI and data streaming technologies.

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Skills

Core Skills

Solution ArchitectureArtificial Intelligence (ai)Data AnalysisProduct ManagementTechnical Solution DesignProject Delivery

Other Skills

Apache KafkaKafka StreamsApache FlinkPrompt EngineeringLarge Language Models (LLM)Generative AIData-driven Decision MakingSolution ImplementationProduct VisionJiraSoftware Development Life Cycle (SDLC)Customer EngagementProduct DeliveryAgile MethodologiesHuman Resources Information Systems (HRIS)

About

Experienced Solution Architect with 9+ years of experience designing real-time, data-intensive systems across cloud and enterprise SaaS platforms. Specialized in building scalable data streaming pipelines (Kafka, Flink) and evolving architectures toward AI-powered applications using LLMs, real-time inference, and intelligent automation. Proven ability to bridge business problems with production-grade AI and distributed system design. https://g.dev/kishoorkumarr

Experience

9 yrs 9 mos

Total Experience

1 yr 9 mos

Average Tenure

9 mos

Current Experience

Confluent

Advisory Customer Solution Consultant

Sep 2025 – Present · 9 mos · Bengaluru, Karnataka, India · Remote

Technology: Data Streaming (Kafka & Flink) and Cloud
1. Act as a strategic technical advisor to enterprise customers, driving account growth, expansion, and retention through proactive engagement and value realization.
2. Designed and implemented real-time data streaming architectures enabling downstream AI/ML use cases such as anomaly detection, personalization, and intelligent alerting.
3. Advised enterprise customers on integrating Kafka pipelines with AI/ML systems, including feature pipelines and real-time inference workflows.
4. Led architecture discussions on event-driven AI systems, enabling low-latency data availability for LLM and analytics applications.
5. Conducted workshops on stream processing (Flink) for AI use cases, including real-time enrichment, transformations, and feature engineering.
6. Designed low-latency, scalable architectures for real-time data processing using event-driven patterns.
Project: Agentic Customer Intelligence Copilot
Built and deployed an agentic AI solution using Glean to unify customer data across fragmented enterprise systems.
Designed LLM-driven workflows to aggregate multi-source data and generate sentiment insights, risk signals, and actionable recommendations.
Applied advanced prompt engineering techniques to optimize response quality, contextual accuracy, and task-specific reasoning.
Integrated enterprise data sources create a holistic, real-time account view, improving decision-making for customer facing teams.

Apache KafkaKafka StreamsApache FlinkArtificial Intelligence (AI)Solution Architecture

Eightfold

Senior Solutions Architect

Jun 2024 – Sep 2025 · 1 yr 3 mos · Bengaluru, Karnataka, India · Hybrid

Technology: AI Powered SaaS (HCM), Cloud, Python
1. Designed solutions on top of AI-powered Talent Intelligence Platform, leveraging machine learning models for recommendations, matching, and workforce insights.
2. Collaborated with product teams to translate AI capabilities into enterprise-grade solutions, improving adoption and business outcomes.
3. Designed and implemented scalable data pipelines using Python and SQL to integrate and transform data across enterprise systems, enhancing data consistency, accessibility, and enabling more reliable AI-driven insights.
4. Owned post-sale success and adoption strategy for enterprise clients, ensuring solution fit and scalability while aligning deployments with strategic business outcomes—contributing to increased platform stickiness and expansion opportunities.

Generative AIData-driven Decision MakingProject DeliverySolution ImplementationProduct VisionArtificial Intelligence (AI)+22

Oracle

Principal Consultant

Apr 2022 – Jun 2024 · 2 yrs 2 mos · Greater Bengaluru Area · Hybrid

Technology: Oracle Fusion HCM Cloud and Python
1. Led cross-functional team of 20 to deliver Oracle Fusion HCM Cloud implementations, with a
core focus on data conversion, reporting, and system integration.
2. Defined and executed scalable reporting strategies using Oracle BI Solutions, for reporting &
data visualization, providing actionable insights to business stakeholders.
3. Developed and integrated scalable solutions for cross-module data synchronization.
4. Partnered with sales and pre-sales teams to lead technical discovery, product demos, and proofof-
value engagements, directly contributing to client acquisition and solution alignment.
Acted as a technical product owner for multiple automation, from vision to deployment—
collaborating with engineering teams and business stakeholders to drive product roadmap and
execution.
Project: Code Comparison Tool using Python
1. Developed and led the delivery of a Python based product that automates the code backup and
comparison across different instances, reducing manual efforts by 60%.
2. Defined product roadmap, prioritised features such as Cloud Explorer, Data Visualization and
User management. Engaged with internal users to gather feedback, refine UX, and guide product
enhancements based on measurable impact.
Project: Time Entries Tool using Python
1. Spearheaded the development of a Python based automation tool to enable bulk time entries
uploads into Oracle cloud, improving operation efficiency by 40%.
2. Owned feature design and delivery of re-conciliation workflows, Excel Integrated data upload
capabilities, and multi-instance orchestration.
3. Led cross-functional agile execution, driving sprint planning, backlog prioritization, and release
coordination to deliver customer-centric features

Product PlanningData-driven Decision MakingProject DeliverySolution ImplementationProduct ManagementProduct Vision+33

Deloitte india (offices of the us)

Technical Consultant

Feb 2021 – Apr 2022 · 1 yr 2 mos · Bangalore Urban, Karnataka, India

Technology: Oracle Fusion HCM Cloud
Implementation Scope:
1. Technical Consulting: Led cross functional technical programs to design and deliver scalable
integration and reporting solution for seamless data synchronization with third party HR
applications.
2. Data Reporting: Developed medium-to-complex reports, improving data quality and delivering
actionable insights to support leadership decision-making.
3. Integration Solutions Across Enterprise HR Modules: Defined and developed integration
strategy for key business functions - Payroll, Talent Management,

Project DeliveryJiraCustomer EngagementProduct DeliveryEmerging TechnologiesPayroll Administration+10

Oracle

Associate Technical Consultant

Feb 2018 – Jan 2021 · 2 yrs 11 mos · Bengaluru Area, India

Technology: Oracle Fusion HCM Cloud and Oracle Taleo Cloud
1. Data Migration and Automation: Led data migration efforts and developed automation tools
that streamlined processes and improved accuracy.
Built a Java based tool to automate data migration processes, reducing manual effort by 20%
Developed Python automation scripts for data loading and reconciliation, cutting manual task
by 40%.
2. Product Consulting:
Delivered custom integrations, reports and dashboards, in HR and Talent Management modules
Acted as a technical bridge between client needs and product capabilities, delivering scalable
solutions.
Worked with product team to facilitate data migration from on-premise to cloud applications

Project DeliveryJiraCustomer EngagementProduct DeliveryHuman Resources Information Systems (HRIS)Product Development+5

Tata consultancy services

Assistant System Engineer

Jul 2016 – Jan 2018 · 1 yr 6 mos · Chennai Area, India

Technology: Oracle Siebel CRM and Pegasus Systems (Cloud)
Support and Migration: Worked on data migration from Siebel to Pegasus Cloud, resolving
production issues, enhancing scripts, and supporting integration efforts. Developed Customer
Satisfaction (CSAT) and post-migration data comparison reports, improving data reconciliation
accuracy by 20% and ensuring system reliability.

Issue ManagementDebugging CodeTroubleshootingBacklog ManagementRoot CauseClient Requirements