Headline

AI Product Manager | Building Agentic AI & GenAI Products | Ex-Accenture Strategy | GCP | LLMs | RAG | B2B SaaS | Forbes B-School Leader ‘23 | XIMB’23 (Dean’s Merit)

About

I build AI-first products that solve complex enterprise problems. I’m an AI Product Manager & Strategy professional with experience delivering GenAI, LLM, RAG, and cloud-native products for global enterprises, including Meta, Google, Amazon, LVMH/Dior, and leading banking clients. My work sits at the intersection of AI strategy, product management, and engineering execution. I’ve led initiatives such as: • Designing LLM-powered automation systems that reduced manual effort by 30–40% • Building RAG-based content and legal intelligence platforms • Driving cloud modernization on GCP & Kubernetes, improving reliability by ~40% • Contributing to multi-million ARR AI product initiatives I’m known for structuring ambiguity, translating business goals into scalable AI architectures, and working closely with CXOs, product teams, and engineers across APAC, EMEA, and the US. Core strengths: AI Product Management • Agentic AI • GenAI & LLMs • RAG Systems • Cloud (GCP/AWS) • B2B SaaS • Enterprise Transformation I’m interested in AI Product, AI Strategy, and B2B SaaS leadership roles where intelligent systems create measurable business impact. 📩 Open to conversations on AI products, GenAI strategy, and meaningful collaborations.

Location

Bengaluru

AI stack

anthropic apis

antigravity

cursor

langgraph

langsmith

Qwen

Work experience

AI Product Management at Impact Analytics, Sep 2025 - Present · 1 yr, Bengaluru, Driving AI product initiatives focused on agentic AI systems, GenAI workflows, and enterprise automation, partnering with engineering and business leaders.

Management Consulting at Accenture Strategy & Consulting, May 2023 - Sep 2025 · 2 yrs 5 mos, Bengaluru, Owned AI product and GenAI solution design across multiple enterprise engagements, translating ambiguous business problems into production-ready LLM, RAG, and cloud-native systems. Delivered large-scale AI, product, and digital transformation initiatives for Meta, Google, Amazon, LVMH/Dior, and Banking Clients, driving measurable improvements in efficiency, accuracy, and delivery quality. Built an LLM-powered Legal Case Management System for Meta, developing document-understanding pipelines, retrieval workflows, and RAG-based automation using Llama, ChromaDB, and vector embeddings, reducing legal review effort by 30–40%. Developed AI accelerators and RAG-based content generation tools for Google, improving documentation quality and onboarding speed; led cloud modernization using GCP, Kubernetes, Cloud Run, boosting service reliability by 40%. Enhanced Amazon’s retail planning platform by designing forecasting engines, editable KPI workflows, smart disaggregation, and real-time recalculation features—reducing planning errors from 15% → under 1% and enabling smoother cross-functional delivery. Supported LVMH & Dior in global luxury retail transformation by defining future-state processes, strengthening Responsible AI governance, and optimizing planning workflows across APAC, EMEA, and Americas. Built AI-driven accelerators for large retailers, including Fit-to-Standard recommenders, Requirement Generators, and Process Modellers, automating up to 40% of SAP transformation documentation and testing. Contributed to Accenture’s internal GenAI initiative Wizard, designing prompting flows, evaluation criteria, workflow logic, and UI interactions to automate requirements, user stories, process maps, and test scenarios. Led business diagnostics, design workshops, roadmap creation, and SDLC governance across multi-region programs; partnered with VP/CXO stakeholders to drive AI strategy, cloud adoption, and enterprise-scale transformation.

Product Management Intern at Optum, Apr 2022 - Jun 2022 · 3 mos, Worked on building a next-gen Healthcare Data Platform enabling secure ingestion, standardization, and exchange of clinical data across multiple EHR/EMR systems. Implemented FHIR/HL7 interoperability pipelines and API integrations to unify patient data, improving accuracy, consistency, and cross-system compatibility. Contributed to Blockchain-backed data security and consent management, enabling tamper-proof patient records and traceable access controls. Developed cloud-based data workflows (AWS/GCP/Azure) supporting real-time data exchange, analytics readiness, and HIPAA/GDPR-compliant governance. Enhanced platform reliability by designing data validation, deduplication, and error-handling logic to reduce data exchange failures across the healthcare ecosystem.

Technology Analyst at Infosys, May 2018 - May 2021 · 3 yrs 1 mo, Greater Hyderabad Area

Education

Master of Business Administration - MBA, Business management, Xavier Institute of Management(XIM Bhubaneswar)

Bachelor of Technology, Electronics and Communication Engineering, Silicon Institute of Technology (SIT), Bhubaneswar

Public links

github: https://github.com/mahip-kakan