KL
Kartik Lather
ID: CCE563830
Kartik Lather
ID: CCE563830
- Junior engineer, Sopra steria
- Haryana, India
KL
Kartik Lather
ID: CCE563830
- Junior engineer, Sopra steria
About Kartik Lather
AI Product Delivery Analyst with more than 2.5 years of experience translating operational and business problems into AI-enabled automation and analytics solutions. Strong exposure to GenAI use cases including LLM-based classification, workflow automation, and RAG concepts. Experienced in stakeholder management, MVP definition, KPI tracking, and delivery execution. Seeking AI Product Manager / AI Delivery roles in data-driven organizations.
Employment History
2023
SS
Sopra steriaInvite company
22nd Sep 2023 to Present
Verification Pending
Education
2023
B.Tech in Information Technology
Kurukshetra University
1st Jan 2019 to 1st Jan 2023 (Expected)
Expertise
sprint execution
5/5
- Excellent oral & written communication skills. - High degree of proficiency in basic computer applications (i.e. Windows Ability to learn and adapt to multiple internal applications & tools. - Strong analytical and independent problem-solving skills. - Team Player - Able to clearly communicate network issues and the status of efforts to resolve problelms
5/5
- Excellent oral & written communication skills. - High degree of proficiency in basic computer applications (i.e. Windows, Word, Excel, Outlook, etc.) - Ability to learn and adapt to multiple internal applications & tools. - Strong analytical and independent problem-solving skills. - Team Player - Able to clearly communicate network issues and the status of efforts to resolve problems
5/5
excell
5/5
MySQL
5/5
JIRA
5/5
servicenow
5/5
Excel automation
5/5
power bi
5/5
SQL
5/5
Analytics & Tools
5/5
data
5/5
SLA & KPI ownership
5/5
post-launch monitoring
5/5
UAT Coordination
5/5
AI Product Management
5/5
Agile/Scrum support
5/5
requirement gathering
5/5
Stakeholder Communication
5/5
Project Delivery & Stakeholder Management
5/5
Agentic workflows
5/5
RAG system concepts
5/5
Prompt Engineering
5/5
LLM fundamentals
5/5
GenAI & Automation
5/5
Human-in-the-loop & fallback design
5/5
Model limitations
5/5
MVP scoping for GenAI features
5/5
PRD & user story definition
5/5
problem framing
5/5
AI use-case identification
5/5
Python
4/5
