• Leading development of an AI-driven social intelligence platform, applying LLMs and NLP for sentiment analysis, topic extraction, summarization, and risk signal generation.

• Designed a conversational analytics interface enabling users to submit posts, links, or topics and receive structured AI-driven analysis.

• Implemented MCP-based context orchestration to support structured, auditable AI interactions across accounts, posts, and topics.

• Built sentiment and comparative analytics pipelines, combining live platform APIs with snapshot caching.

• Own system architecture for a scalable SaaS platform, with strong emphasis on privacy, security, and performance.

• Led technical product strategy for an AI-powered Early Warning System (EWS), translating existing virality prediction and analytics engines into build-ready platform capabilities.

• Conducted technical and architectural analysis of large-scale social listening platforms, identifying gaps in real-time video processing, credibility scoring, and predictive signals.

• Converted customer, SME, and industry inputs into concrete product requirements, spanning ingestion pipelines, risk scoring, alerting, and analytics dashboards.

• Evaluated scalability and deployment models (enterprise vs SMB, SaaS vs OEM/partner-led) to inform roadmap sequencing.

• Led the Merchant Onboarding and Acquisition platform, owning backend services, integrations, identity verification automation, and partner APIs supporting large-scale customer onboarding.

• Drove system design, integrations, and platform reliability for onboarding flows impacting conversion, monetization, and developer experience.

• Set technical vision and OKRs, reviewed architecture and execution plans, and led engineering excellence across a high-impact customer-facing platform.

• Led development of SDKs and integration platforms across Web, Android, iOS, and messaging channels (WhatsApp, SMS), enabling customer-facing chat interfaces and AI service integrations (e.g., Autocompose).

• Built and scaled the Bangalore engineering site, aligning platform architecture, delivery execution, and cross-geo collaboration across six global locations.

• Led core data platform engineering for Twitter Bangalore, owning systems handling Tweet content, engagement data, and user relationships at massive scale.

• Designed and operated high-throughput data pipelines across GCP and on-prem infrastructure supporting daily and monthly active user metrics.

• Owned data source architecture for core Twitter entities (Users, Tweets, Interactions, Impressions, Media).

• Led infrastructure cost optimization and data compliance initiatives, ensuring 100% adherence to Twitter data privacy standards.

• Contributed to technical and organizational scaling of the Bangalore engineering center.