Feb 2024 – Jun 2024 · 4 mos · India

• Launched the working prototype in 15 days to onboard our pilot customer.
• Researched the data ingestion and integrations
• Created a data pipeline using jitsu and meltano for ingesting conversational data to improve systems in future

Nov 2023 – Present · 2 yrs 4 mos · Bengaluru, Karnataka, India · Hybrid

• Manage tech initiatives for HSR Founders Club

Dec 2020 – Apr 2024 · 3 yrs 4 mos · San Francisco, California, United States

• Bootstrapped Reslash to $250K+ with 450+ customers.
• Launched a product on Appsumo, generating over $150K in revenue and acquiring 400+ paid customers over its lifetime.
• Identified challenges related to cost management and initial product packaging, leading to a pivot towards a niche market of creators catering to community needs.
• Leveraged React.js and Node.js to develop a robust front-end and back-end tech stack. Also, independently built a pricing service from scratch using Stripe, and designed component libraries with TailwindCSS to enhance the user experience.
• Deeply involved in video infrastructure development, including cutting-edge research, hardware considerations, and code optimization.
• Demonstrated expertise in utilizing various tools like BigQuery, Amplitude, Google Analytics, and more to gain insights into product usage, all while managing a tight budget to maximize ROI.
• Built a real-time observability system using New Relic to streamline the packet-based data pipeline on the web transport protocol.

Apr 2017 – Dec 2020 · 3 yrs 8 mos · New Delhi Area, India

• Business Growth
• Built retention engine for VWO: $18m to $30m ARR
• Built processes and engagement dashboards for Success and Retention teams that reduced churn by 40% in 2019
• Brought transparency and automated support processes by optimising processes constantly to give us a CSAT score of 99+% for both VWO and PushCrew
• Fixed leaks in our payment processes along with marketing and growth to recover $50K+ MRR MoM
• Marketing & Sales
• Built processes for accurate automated lead qualification through Outreach that led to a 90+% rise in converted opportunities and removed manual bias
• Built a statistical model for lead prioritization that led to an increase in Lead to Opportunity conversion rate by 2% MoM and improved conversion velocity by 25%
• Optimized the sales incentive plan to give a 30+% uplift in MRR from the sales process
• Built a dashboard to optimize the performance of paid marketing channels based on the first-touch attribution model for cost and revenue attribution, which reduced costs by 70% without impacting leads
• Digital Analytics
• Built data warehouse from scratch for VWO, including Salesforce, Marketo, Zendesk, Segment, Business data and Adwords, and built cross-functional processes on top of it
• Worked on TAM analysis and built a dashboard on the state of business over multiple segments like customer size, type, product, country, industry, contract duration and business funnels

Nov 2014 – Apr 2017 · 2 yrs 5 mos · Pune Area, India

• Automation of customer data loading and business data reconcilation processes using bash and SQL scripts which improved the overall task time commitment from an average of 40 hours to 3 hours.
• Creating daily KPI reporting emails for the executive team to identify the performance of multiple stakeholders related to the project.
• Built a tuxedo error email report for the Operations team by scanning daily job logs and identifying errors exceeding a particular threshold. This report became a key indicator for support teams to raise red flags if any customers were impacted.
• I created multiple SQL and shell scripts to find discrepancies between the payment data and service agreement data. The red indicators were tagged and overlaps were removed from the database to maintain data sanity.
• Built scripts to identify confidential data from customer comments and selectively remove the same from the database. The data included credit card numbers, CVV, social security numbers, etc
• Created a task handover dashboard which assigned tasks to different members of the team every morning and the progress on those tasks was filled by the team members every evening. The aggregated list of tasks was sent over to the Onsite team lead. It provided visibility around the month-on-month improvements on Offshore team efforts.