Headline

AI Product @ Squadstack.ai | Scaling Voice AI Agents for Enterprises | | LLMs, RAG, agentic workflows

About

I build AI products that ship and scale. My work has spanned conversational AI, agentic workflows, prompt engineering, and the analytics layer underneath all of it. I care a lot about the unglamorous parts: observability, eval design, and the >95% reliability that decides whether an AI product survives contact with real users. Currently, I am shipping Voice AI agents serving the BFSI ecosystem: lending, and insurance renewals. Before this, I built India payroll 0-to-1 at Wisemonk (EOR), and owned HCM and payroll workflows at Keka, where I shipped a GenAI support chatbot that deflected 53% of tickets. What I'm drawn to: turning probabilistic models into products people can actually rely on. Voice and conversational AI in high-stakes domains like BFSI is where that problem is hardest, and most interesting. I write about AI product decisions here: https://bhargava-pm.medium.com/ Open to conversations on AI/Voice product. Reach me at tbhargava7@gmail.com or DM here.

Location

India

AI stack

claude code

cursor

lovable

openai

OpenRouter

Work experience

AI Product Manager at SquadStack.ai, Jan 2026 - Present · 8 mos, Delhi, India, Conceptualized and launched Voice AI solutions for the BFSI ecosystem, enhancing client engagement and onboarding processes. • Developed a reusable prompt architecture that streamlined the onboarding of enterprise clients. • Leveraged RAG and Jinja2 templating to optimize prompt caching, significantly improving efficiency.

Product Manager at Wisemonk, May 2025 - Dec 2025 · 8 mos, Greater Bengaluru Area, • Developed the India payroll system from the ground up for the EOR platform, including salary configuration and statutory deductions. • Implemented a product-led growth strategy, enhancing lead qualification by 27% within the first month. • Implemented SOC 2 Type I readiness, on part of mid market readiness GTM plan

Associate Product Manager at Keka HR, Mar 2023 - May 2025 · 2 yrs 3 mos, Hyderabad, Telangana, India, • Deployed a GenAI-powered support chatbot, achieving a 53% support ticket deflection rate through continuous model training and fine-tuning of responses. Reduced churn by 3% QoQ by deploying AI assistants that surfaced actionable product usage insights for the support team, enabling proactive outreach. • Increased product adoption to 70% and scale ARR to $500K by optimising timesheet workflows for IT services firms and enhancing project tracking efficiency. - Boosted user engagement by 23% MAU by launching a contextual notifications framework that re-engaged dormant users to promote timesheet submission.

Education

Bachelor of Technology, Mechnaical, Vellore Institute of Technology

Public links

github: https://github.com/bhargava-codes