Headline

Product Manager @ IBM

About

Product Manager working at the intersection of cloud infrastructure, database platforms, and AI systems. Currently building and scaling managed database products at IBM Cloud, focusing on platform modernization, cost optimization, and enabling enterprise-scale workloads across global markets. Previously, I built 0→1 AI platform infrastructure and real-time data products at Verizon, powering LLM-driven applications and analytics at scale. My work has involved making build vs buy decisions across vector and graph databases, and designing systems for scalable model integration. I started my career in data engineering, working on large-scale streaming systems and distributed architectures. That foundation continues to shape how I approach product decisions, grounded in technical depth and focused on business impact. I’m particularly interested in AI infrastructure, data platforms, and developer-facing products. I also write about data infrastructure and AI systems, with articles on vector databases and distributed systems read by thousands.

Location

Bengaluru

AI stack

codex

cursor

grok

notion

obsidian

ollama

Work experience

Product Manager at IBM, Jan 2025 - Present · 1 yr 10 mos, Bengaluru, Karnataka, India

Member of Technical Staff - III at Verizon, Jan 2023 - Jan 2025 · 2 yrs 1 mo, - Defined key use cases and customer experience priorities behind the IBM Streams → Google Cloud Dataflow migration - Partnered with product leadership to shape multi-year platform vision and roadmap - Led GenAI exploration at Verizon: POCs for graph/contextual search and embedding retrieval (Neo4j, Redis) - Scoped and defined Verizon's early GenAI platform direction, integrating LLM-based querying into data architecture - Bridged engineering and product across 10+ stakeholders, aligning roadmap to revenue-driving opportunities

Member of Technical Staff II at Verizon, Aug 2021 - Dec 2023 · 2 yrs 5 mos, - Led development of a Digital Twin platform generating simulations of customer journeys and network systems, built on in-memory state machines for real-time entity state tracking. - Partnered directly with Product teams to translate business forecasting needs into simulation experiments — an early step from pure engineering into product-facing collaboration. - Cut simulation run times from 100 hours to under 10 minutes, unlocking faster experimentation cycles and reducing operational cost.

Member of Technical Staff I at Verizon, Jul 2018 - Jul 2021 · 3 yrs 1 mo, - Built and maintained real-time streaming data pipelines processing millions of daily events, supporting revenue-facing web and mobile applications. - Worked within IBM Streams-based infrastructure, strengthening reliability and throughput for high-volume production workloads. - Partnered with senior engineers to diagnose and resolve performance bottlenecks in distributed data processing systems.

Intern at Times Internet, Dec 2017 - Feb 2018 · 3 mos, Gurugram, Haryana, India

Education

Bachelor's degree, Computer Science Engineering, SRM IST Chennai