Headline

General Management & Strategy | Ex-Entrepreneur (P&L Owner) | Ex-Plivo, Meesho

About

I've spent 6+ years across Y Combinator–backed startups and a family-owned industrial business, working at the intersection of strategy, operations, and product management. At Plivo, I led AI-driven process automation and product development — building and deploying tools like n8n and Claude Code — unlocking $2M+ in new revenue and cutting operational turnaround from days to minutes. Before that, I ran my family's steel trading business as Associate Director, owning full P&L for an 11-person, $1.5M operation and driving a strategic pivot from retail to wholesale that doubled revenue. And earlier, at Meesho, a $5B+ social commerce platform, I worked on product strategy and performance improvement — presenting regularly to senior leadership and the GM of the vertical — contributing to $200M+ in incremental revenue. The common thread across all three: taking ambiguous, high-stakes problems and turning them into structured, measurable outcomes — the kind of thinking that draws me to management consulting, strategy, and general management work. Open to conversations in strategy, operations, general management, and management consulting.

Location

India

AI stack

claude code

claude

elevenlabs

gemini

n8n

Wispr Flow

Work experience

Senior Business Analyst at Plivo, Nov 2024 - Mar 2026 · 1 y 4 mo, Bengaluru, Karnataka, India, Built AI agents to automate processes

Entrepreneur (Family Business) at Supreme Steels & Forgings, Sep 2022 - Feb 2025 · 2 yrs 6 mos, Chennai, Tamil Nadu, India, • Increased annual revenue by 2.5x in FY 24 while maintaining consistent profit margins, demonstrating strong financial acumen and strategic execution. • Successfully transitioned the business from a retail model to a wholesale model, resulting in notable revenue growth. • Established a significant partnership to become the distributor of Imported Steel Bars and acquired dealerships from two leading forging units, thereby enhancing market reach, which added Rs. 3 Cr in Annual Revenue. • Effectively reduced days sales outstanding from 125 to 94 days, enhancing cash flow and operational efficiency. • Expanded the customer base to Coimbatore, Trichy, Bangalore, and Hosur.

Product at Meesho, Jul 2020 - Sep 2022 · 2 yrs 3 mos, Content Commerce (0-1 Vertical) • Primarily focussed on finding a Live Commerce PMF • Identified key challenges in the live shopping journey, and implemented multiple changes that ultimately led to an increase of 40 % in live stream order conversion. • Reduced the daily hours spent on analytics by automating the entire product analytics which includes the setup of and maintenance of Mixpanel and Metabase dashboards, CRON models, chat analytics, etc. • Led efforts in interviewing, onboarding, and mentoring a team of analysts, empowering them to take ownership of projects swiftly and deliver impactful results. Search, Ranking & Personalization Charter (Shopping Experience Vertical) • Conceptualized and successfully launched a Voice Search feature that accounted for 20% of total searches, enhancing the overall shopping experience. • Introduced an A/B experimentation process, reducing setup time by 5 hours per experiment through automation, enabling quicker iterations and decision- making. • Owned and developed comprehensive product metrics and dashboards for Search Ranking and Experience, facilitating data-driven insights and strategy adjustments.

Product Management Intern at ZoomTail, Jun 2019 - Jul 2019 · 2 mos, Bengaluru, Karnataka, India, Worked on a new initiative of building an application for suppliers and agents to unlock a huge chunk of data and generate quick sales through agent app. Conducted ground level Market Research in three cities which include Bangalore, Ahmedabad and Surat, understood the end to end journey of 30/40 agents and suppliers in person and analyzed the pressing problems and vulnerabilities. After presenting a product proposal to the leadership team, a Minimum Viable Product that aligned with the existing user journey and solved their problems with technology besides the great value propositions, was proposed. Conducted a Proof of Concept to validate the idea and an 80% approval rate.

Market Data Analyst at DoMS, IIT Madras, Dec 2018 - Dec 2018 · 1 mo, Chennai, Tamil Nadu, India, Analysis of the effect High Frequency Traders have on the market using the NSE 2018 data, which included tick-by-tick data of orders and trades (around 20-30 TB). Pre-processed this data and worked on the reconstruction of Limit Order Book from scratch that resulted in a LOB reconstruction framework that performed analysis based on bid-ask spreads and liquidity dependency.

Education

Bachelor of Technology (B.Tech.), Engineering Physics, Indian Institute of Technology, Guwahati

SBOA School & Junior College