Oct 2025 – Present · 7 mos · Remote

• Students lacked organised questions → scraped past 15,000+ JEE questions and built the platform.
• Needed early traction → partnered with a YouTuber and got our first paid subscribers.
• Growth stalled when content stopped → realised distribution matters more than product alone.
• Couldn’t scale reach ourselves → changed our strategy and 10+ YouTubers reached out to us for distribution.
• We are not the face → we focus on product and infrastructure while they handle reach.
• Check it out here: https://www.divinejee.com
• Currently, the site runs on free servers, so it might feel a bit slow or glitchy.
• Rest assured, my engineer is working hard, and we’ll soon move to AWS for a faster, more stable experience.

Aug 2025 – Nov 2025 · 3 mos

• I worked closely with the Founder and CEO of a large-scale NEET prep platform that had significant traffic but limited visibility into funnels, engagement, and revenue drivers.
• What I worked on
• Audited the entire platform across product, analytics, marketing, and lifecycle communication
• Segmented users into Organic, Paid, and Content cohorts to separate volume from value
• Mapped funnels end-to-end to identify where users and revenue were leaking
• Discovered major engagement gaps between Web and Native App users (app users were 10–20× more engaged)
• Deep-dived into payment funnels and identified large pools of recoverable revenue
• Audited CleverTap (Push, WhatsApp, Journeys, Pop-ups, Email) and designed live-behavior–based strategies
• Built executive dashboards for revenue, attribution, device behavior, and payment success/failure
• Created a structured 30-day analysis → 30-day execution plan aligned with tech bandwidth
• What this experience shaped
• "How to make sense of messy, high-scale systems and turn data into decisions founders can act on."

Dec 2024 – Present · 1 yr 5 mos · Remote

• I joined Chatzy AI at an early stage to help shape an AI platform that was still finding its product and go-to-market footing. This role required deep hands-on work across product, platform, and growth.
• What I worked on
• Owned product execution across analytics, onboarding, templates, and platform usability
• Integrated PostHog for advanced analytics and built real-time dashboards for product insights
• Designed AI templates and sample agents to reduce setup time and improve user success
• Planned and shipped AI voice agents and WhatsApp calling features with complex technical dependencies
• Introduced API-key–based usage so users could bring their own APIs and control costs
• Simplified onboarding, built documentation, and expanded the knowledge base
• Took full ownership of website SEO—rebuilt pages, wrote blogs, and ranked top 2–3 for multiple queries
• Led client onboarding, training, and issue resolution post-launch
• Ran organic product marketing on LinkedIn due to a small team setup
• What this experience shaped
• "How to build AI products that are usable, understandable, and shippable not just impressive."

Sep 2024 – Present · 1 yr 8 mos · Remote

• I joined Reflex as the first product hire at a stage where the product had users but lacked structure, analytics, and a clear growth engine. I worked directly with the founder and took full ownership of the product decisions, execution, and outcomes.
• What I worked on
• Took the product from early traction to scale (~50K users), owning product discovery, execution, and iteration
• Led revenue-impacting initiatives across onboarding, payments, referrals, pricing, and campaigns
• Built analytics from scratch using Mixpanel and CleverTap to track activation, engagement, and monetization
• Revamped onboarding and payment flows to remove friction and improve conversion
• Launched and scaled features like Refer & Earn, habit-based engagement journeys, and cross-sell offerings
• Handled real production incidents, including a major payment failure day, and reduced failures through iterative fixes
• Shipped MVP features (like Quiz) with minimal tech/design bandwidth by making sharp trade-offs
• Led a cross-functional team of engineers, designer, and marketer with a monthly release cadence
• What this experience shaped
• "How to build, ship, and grow a product when there’s no structure only responsibility."

Mar 2024 – Aug 2024 · 5 mos · Delhi, Bengaluru · Hybrid

• 🟢 🔵 🟣 August 2024
• Developed the pre-market-ready version of V6.8
• Delivered the project to the founders, marking the completion of my work
• The team executed exceptionally well
• July 2024
• Ensured the product was manufacturing and market-ready
• Developed reports for the founders on project progress
• Applied the "Idiot Index" methodology to the robotics project
• June 2024
• Presented monthly updates to investors, enhancing funding prospects and global reach
• V6.8 version of the robotic arm neared completion
• Reduced project costs by 20% by optimizing manufacturing workflows
• Collaborated with Chinese suppliers to source components efficiently
• May 2024
• Led global B2B campaigns and secured international partnerships
• Transitioned the robot’s architecture from Python to C++, improving performance and scalability
• Worked closely with the tech team to optimize system performance
• April 2024
• Took on the V6.8 robotic arm project
• Built relationships with vendors
• Connected with Chinese suppliers
• Engaged with Indian vendors to localize manufacturing
• March 2024
• Joined the firm
• Observed the ecosystem and internal operations
• Worked on key overhaul changes in team communication

Jan 2024 – Mar 2024 · 2 mos · Bengaluru South, Karnataka, India · Hybrid

• 🟡 🟢 🔴 March
• Learned Google Analytics and HubSpot
• Worked on the acquisition strategy targeting working professionals
• February
• Started campaigning for a new product line, Green Dot
• Increased transactions to $5M via the Green Dot product
• Trained the sales team for the auto loan product
• January
• Expanded product scope to include auto insurance, pet insurance, renter’s insurance, and dental insurance
• Segmented users for targeted campaigns
• Achieved a 10% MoM increase in policy sales

Sep 2023 – Dec 2023 · 3 mos · Bengaluru South, Karnataka, India · Hybrid

• 🟡 🟢 🔴 December
• Conducted webinars with ISO and international students
• Maximized health insurance sales this month
• Improved the health usage page
• Set up key campaigns and customer journeys
• November
• Led the auto loans product flow, identifying flaws and improvements
• Managed TOFU, MOFU, and BOFU stages
• Began research on marketplace product offerings at Zolve
• Took ownership of the health insurance product
• October
• Started working on the auto loan product
• Conducted 100+ user calls
• Used insights for marketing campaigns
• Revamped the auto loan page
• Increased auto loan approvals by 10%
• September
• Joined the firm
• Used the product extensively
• Learned Clevertap and Mixpanel
• Started sending campaigns via omnichannel marketing

Dec 2022 – Sep 2023 · 9 mos · Bengaluru, Karnataka, India · Hybrid

• Defined and implemented credit card usage rules to optimize the platform's functionality and ensure smooth transactions for users.
• Managed the transition of users from budget accounts to project accounts, improving account structure and user experience.
• Worked with the backend team to identify and resolve bugs, ensuring seamless user experiences and improved platform stability.
• Developed and refined flows for the Volopay V2 ramp-up, enhancing the onboarding process and streamlining user journeys.

Nov 2020 – Jul 2022 · 1 yr 8 mos · On-site

• Conducted research on Shape Memory Polymers (SMPs) for space applications, focusing on reducing payload weight. Synthesized epoxy-based polymers with carbon fiber fillers, performing Finite Element Analysis (FEA) to model stress, deformation, and shape recovery behavior. Analyzed fracture surfaces and critical transitions using SEM and tensile testing. This work was published in a top-tier peer-reviewed journal in Polymers, highlighting advancements in aerospace material design.

May 2019 – Jul 2019 · 2 mos · Gujarat, India · On-site

• Conducted research at the District Cooling System (DCS) in GIFT City, India’s first smart city, focusing on optimizing energy efficiency. Analyzed energy consumption data to calculate the Coefficient of Performance (COP) and identify operational inefficiencies.

Mar 2019 – Apr 2022 · 3 yrs 1 mo

• Provided academic assistance globally through Chegg, specializing in Advanced Calculus and Mechanical Engineering topics such as Fluid Mechanics, Strength of Materials, Theory of Machines, and Manufacturing. Helped over 2000 students with problem-solving while maintaining a 91% quality score. This work enhanced my teaching skills and deepened my understanding of global educational methodologies.

Jun 2018 – Jul 2018 · 1 mo · On-site

• Conducted research at NTPC on thermal power plant operations, focusing on the Rankine cycle. Analyzed plant efficiency and calculated a 24% performance rating across boilers. Monitored fuel consumption, documenting daily coal usage of 65,000 tons, and optimized material handling through Merry-Go-Round systems. Presented findings on thermal efficiency improvements, earning recognition for practical engineering insights.