Headline

Product at Equal AI (200K+ DAU) | B.Tech IT @ MIT Bengaluru & Data Science @ IIT Madras | Building India’s first AI Call Assistant

About

From questioning "What is Product?" to scaling India’s first AI Call Assistant to 200K+ Daily Active Users, my journey has been a deep dive into the B2C "human puzzle." Currently a Product Manager at Equal AI, I focus on solving the complexities of Voice AI for the Indian market. My work bridges the gap between messy, multilingual conversations and fluid AI interactions. Key Impact Areas: 1. Scale: Managing systems for 3L+ daily calls and optimizing funnels via Mixpanel. 2. Voice Architecture: Benchmarking STT/TTS (Google, Sarvam, ElevenLabs) to build natural, code-switching voice personas. 3. Product Ownership: Developed E2E caller memory systems and managed integrations with global partners like Eleven Labs, Cartesia and Datadog. I thrive where technology meets human intent. Beyond the screen, you’ll likely find me on a trek or exploring the next frontier of LLMs.

Location

Bengaluru

AI stack

codex

elevenlabs

openclaw

claudecode

Granola

Wispr Flow

Work experience

Product Manager at Equal AI Assistant, Jun 2026 - Present · 3 mos

Product Manager at Equal AI Assistant, Jul 2025 - Jun 2026 · 1 yr, Growth & Lifecycle: From 0 to 200K+ DAU 1. Rapid Scale: Joined as a pre-product intern; orchestrated the Friends & Family launch (Aug 15) and Public Launch (Oct 2), scaling the platform to 200K+ Daily Active Users (DAU) and 300,000+ daily calls. 2. Activation Breakthrough: Revolutionized the onboarding funnel, increasing completion rates from ~4% to 75% by leveraging Mixpanel to identify drop-off points and leading cross-functional fixes with engineering. 3. Customer Support Ops: Established the end-to-end support infrastructure via Syrow as the sole Point of Contact, ensuring a closed feedback loop during the transition from 1K to 200K users. Technical Product Management: Voice AI & LLM Architecture 1. Cost Efficiency: Engineered a 93% reduction in per-call LLM costs ($30 to $2) by re-architecting the prompt layer, implementing prompt caching, and optimizing token usage. 2. Voice Personalization: Architected a sophisticated E2E Caller Memory System (classification, versioning, and context injection) specifically designed for the complexity of Indian multilingual/code-switched transcripts. 3. Benchmarking & Infrastructure: Developed a data-driven vendor framework after rigorous evaluation of Google Chirp, Sarvam, Azure (STT) and ElevenLabs/Cartesia (TTS) for linguistic accuracy in the Indian context. 4. Experimentation & Scale: Deployed Statsig for A/B testing and managed the technical setup of the WhatsApp Meta Business Account to enable scalable marketing campaigns and product iterations. Autonomous Prompt Engineering: Architecting a self-evolving prompt system that autonomously learns from 3L+ daily conversation transcripts; utilizes an automated feedback loop to self-correct instructions, optimize for multilingual intent, and deploy real-world prompt updates without manual intervention.

Lead-Global Hiring Sr.Pcom at Office of Corporate Engagement and Career Advisory Services, MITB, May 2025 - Feb 2026 · 10 mos

Product Management Intern at Qsome AI, May 2025 - Jul 2025 · 3 mos, Bengaluru, Strategic Pivot & Market Positioning 1. Roadmap Definition: Defined the product vision for Qsome’s evolution into an AI-automation powerhouse, positioning the platform as the "digital glue" for enterprise software ecosystems. 2. Competitive Intelligence: Conducted deep-dive market analysis across 10+ competitors to identify gaps in the automation landscape, aligning cross-functional stakeholders on a new strategic trajectory. 3. GTM & Sales: Actively participated in sales pitches and high-stakes client demos, translating complex technical AI capabilities into clear business value to drive early-stage user acquisition. Product Ops & Technical Contributions 1. Efficiency Gains: Architected and built a custom CMS for the company website, reducing content update turnaround by ~40% and significantly improving SEO performance and organic reach. 2. Self-Healing Systems: Laid the groundwork for the company’s "self-healing" initiative by defining core product requirements and technical test specifications. 3. Full-Stack Collaboration: Combined web development, SEO optimization, and market analysis to help shape the brand story and technical identity of Qsome AI.

Jr Pcom at Office of Corporate Engagement and Career Advisory Services, MITB, Jan 2025 - May 2025 · 5 mos, Bengaluru, Karnataka, India, Placement Committee, Department of Corporate Engagement Office & Career Advisory Services

Head Coordinator and Incharge at IAESTE LC Manipal, Sep 2023 - Jun 2025 · 1 yr 10 mos, Bengaluru, Coordinator for MIT BLR

Social Media Manager at Mimansa, Sep 2022 - Jun 2025 · 2 yrs 10 mos, Bengaluru, Karnataka, India

Education

Bachelor of Technology - BTech, Information Technology, Manipal institute of technology

Bachelor of Science - BS, Data Science, Indian Institute of Technology, Madras