Headline

Product @ Benchmark Gensuite | AI-Native Builder - Agentic Systems & Enterprise AI

About

I'm a product leader who owns AI products the way a business owner would: from the problem worth solving, to the working product, to the number it moves. Around 4 years in enterprise B2B SaaS, all of it hands-on — I prototype with AI coding agents and put working software in front of senior stakeholders, so decisions get made on evidence, not slideware, and engineering capacity stays pointed at production. The work I own turns unstructured documents into decisions: AI-powered extraction and indexing, automated flagging against continuously shifting global regulatory datasets, and human-in-the-loop review of probabilistic output: shipped at enterprise scale, for users whose compliance depends on getting it right. The results have compounded: ~30% CSAT improvement, 20% conversion lift, 25% enterprise retention gain — serving major clients across multiple domains. What I look for in a problem: messy data, high stakes, and a user who needs an answer they can trust. The mechanics I've mastered - document intelligence, dynamic dataset cross-referencing, conversational and omnichannel AI - apply wherever those three things meet, in any industry. I believe the scarcest product skill isn't shipping. It's choosing correctly what deserves to be built.

Location

Bengaluru

AI stack

claude code

claude

codex

gemini

openai

perplexity

Work experience

AI Product Management Specialist at Benchmark Gensuite®, Oct 2025 - Present · 11 mos, Bengaluru, Karnataka, India

AI Product Associate at Benchmark Gensuite®, Oct 2024 - Nov 2025 · 1 yr 2 mos, Hybrid, Spearheaded GenAI-driven product vision & roadmap, collaborating with senior PMs to launch various applications that improved user satisfaction by 30%. Leveraged Large Language Models (LLMs) for intelligent user feedback analysis & sentiment mining, enabling faster prioritization and a 20% reduction in bounce rates. Partnered with design teams to create AI-powered dashboards with predictive insights, elevating enterprise user experiences and decision-making. Applied AI/ML analytics pipelines (Google Analytics + custom GenAI models) to detect adoption patterns and guide roadmap decisions. Actively involved in R&D initiatives — brainstorming applications of LLMs, GenAI, and predictive analytics while aligning with market analysis, user understanding, and evolving business needs to fuel future product directions.

Technical Product Specialist at Celoxis, Jan 2023 - Sep 2024 · 1 yr 9 mos, Pune District, Maharashtra, India, Scaled Celoxis’ SaaS platform for billion-dollar enterprise clients, driving adoption and workflow efficiency through data-driven product enhancements. Designed and deployed AI-powered analytics dashboards that uncovered client usage patterns, enabling smarter decision-making and delivering 20% efficiency gains. Collaborated with engineering teams on ML-backed automation features, reducing manual effort for clients and improving adoption of key modules. Partnered with customer success to integrate LLM-driven knowledge support tools, streamlining onboarding and reducing resolution times. Conducted market and competitor analysis with AI-enhanced research methods, identifying product gaps and shaping SaaS strategy. Acted as the bridge between enterprise stakeholders and product teams, ensuring scalable, future-ready SaaS solutions.

Digital Marketing Intern at Indian Institute of Technology, Bombay, Mar 2022 - Apr 2022 · 2 mos, Developed targeted digital marketing campaigns, optimizing reach for tech-driven solutions.

Data Science Intern at LetsGrowMore, Mar 2022 - Mar 2022 · 1 mo, Built predictive models and analyzed consumer datasets to derive actionable insights.

Education

Sinhgad Academy of Engineering

kendriya vidyalaya