• Developed robust, forward-looking product vision for Govbox's entire product suite. Implemented Agile software processes to ensure user-centric product development aligned with the product vision.• Translated the product vision into a detailed roadmap, outlining key milestones and timelines—deconstructed roadmaps into prioritized Jira backlogs, utilizing complex user stories and acceptance criteria.• Discovered new growth opportunities by capitalizing on existing customer relationships. Developed an expansion strategy using trial packages, leading to a 300% growth in the company's presence in the past year.• Revamped product testing with automated regression testing suites and failsafe mechanisms that covered end-to-end user workflows, leading to a significant 52% reduction in regression bugs within 2 months.• Established an automatic KPI monitoring process that dispatched alerts for various exceptions and reduced unexpected timeouts across the product by 82%. Deployed process across entire suite with 0 downtime.• Evaluated large language models and AI frameworks to create a proprietary algorithm using a convolutional neural network that analyzes and derives actionable insights from massive volumes of government data.

• Co-founded and led the development of a SaaS platform to help governments securely use data to better serve citizens. Acquired 40 clients spread across nearly 85 government agencies within the first year of launch.• Led a comprehensive user-centric research phase with government officials and townships to understand existing data pain points and needs. Transformed these insights into a clear roadmap for Govbox’s first product.• Developed and took to market a functional MVP within just 7 months by defining user stories, prioritizing backlog tasks, and leading a cross-functional team of backend engineers, frontend engineers, and a UX designer.• Established best-in-class customer service SLAs by running lean and making key capacity tradeoffs. Provided customers with historically low (4 hr) data latencies compared with their previous data analysis workflows.• Utilized user research (focus groups, interviews, and A/B testing) for quicker iterations, resulting in UI and optimization decisions that boosted avg. time users spent in tool between MVP1 and MVP2 by nearly 38%.• Employed several creative marketing tactics to increase brand and product awareness, including trade show presentations, referral promotions, and personalized customer outreach for maximum satisfaction.

• Leveraged local political knowledge to advise on 30 proposals for various real estate projects. Resulted in a 97% proposal approval rate from various NJ city councils and township zoning boards.• Worked with executives to establish an investment decision-making framework after evaluating 80 projects and studying demographic data and housing trends. Shielded the company from market volatility by developing a 3-month plan to transition the organization from "top-down" decisioning to "bottom-up" data-based decisioning.• Secured $240,000+ in sponsorships for 12 nationwide seminars (1,000+ attendees in each) to educate underserved communities nationwide about real estate investment. Converted approximately 22% of seminar attendees into new customers. Helped dozens of local businesses gain visibility as sponsors.

• Led the execution of digital and fundraising strategies for 9 political candidates across 4 campaigns.• Integrated CRM campaign software to automate certain campaign operations and improve data management. Reduced data processing time by 30%, saving thousands of dollars per campaign.• Led voter targeting initiatives using geospatial analysis and demographic data. Shortlisted areas where voter turnout was low and recommended robust advertising efforts in those areas. Two of the lowest turnout areas saw a documented increase of at least 7% in voter turnout by the end of the local election cycles.• Collaborated with marketing team to develop original social media content to engage with younger voters and educate them about local election cycles. Targeted older demographic through door-to-door canvassing, with each volunteer equipped with a standardized pitch and polished campaign materials to distribute.