Product Lead - Generative AI Research - LLaMa- Leading AI Research for LLaMa at Meta

Product Lead - PyTorch - Leading AI Framework in the industry- Grew and led the PM team for PyTorch- Defined stratergy and executed roadmap for PyTorch- Launched 0 to 1 products in open source and feature update 3x a year- Landed partnerships for co-development and support with Google, Apple, and chip manufacturersProduct Manager - Domain Solutions - Recommendation training stack and Foundational models in production- Led the PM team covering all content understanding models, translation and the recommender system training stack at Meta

Data driven real estate investing and management company• Recruited new cross-continent team of 12 to manage 10 properties and invest in four countries, and developed processes to enable coordination and remote work• Repositioned offering to differentiate in evolving market, raising occupancy from 60% to 100%• Coordinated five parallel projects in challenging political context, managing timelines, launch dates, teams and suppliers, by influencing and networking with multiple outside stakeholders • Secured financing for new developments, growing revenues by 80% over two years• Developed internal software to assess market risk in two countries with low data environments

Biotechnology startup in cancer diagnostics• Led team of three data scientists to explore predictive deep neural network models for cancer• Pivoted strategy from direct to consumer to medical, improving execution on target market• Raised pre-seed funding by pitching to investors and applying for SBIR and NASA grants• Negotiated partnerships with researchers at major institutions• Oversaw deployment of HIPAA-compliant architecture from microscope to customer web app

AI energy alerts SaaS startup• Launched new bill alert product with cloud architecture and machine learning backend, and attracted top talent for initial team of four• Identified market opportunity for utilities and set product vision to engage SMB customer segment by performing over 80 user interviews, resulting in negotiations for three pilot programs• Improved energy usage predictions accuracy by guiding engineering team and building machine learning algorithms for customer classification and energy usage forecasting• Released features monthly to enhance UX/UI and execute product vision with designers

Department: Customer Energy Solutions• Spearheaded and negotiated resources for cross-functional team of 20 across six departments over 12 months to create customer smart grid strategy, collaborating with legal and regulatory• Championed Smart Grid Plan and convinced three VPs for CPUC filing approval• Led meetings with senior French officials and Senators to educate them on California's renewable energy regulations and represented company on multiple panels and conferences• Rolled out solar power adoption forecasting model software used company wide for six years• Mentored and trained data science team of six in big data statistical analysis and optimization

Healthcare Projects Categories: Marketing Mix Analysis, Sales Process Design, Sales Force Sizing and Structure, Targeting, Incentive Compensation Design and Administration, Market Research, Survey Design• Oversaw sales force design, sizing and alignment for 2 pharmaceutical and 4 biotech firms with revenues from $100M to $3B for existing products and go-to-market strategy• Evaluated sales strategy for client company, recommended to increased sales force by 50% which led to sales growing by 30% in following 6 months• Presented to, and persuaded, client executive leadership to implement innovative process to assess marketing channel effectiveness and allocate $24M budget• Automated distribution of $1M quarterly in incentive compensation for dermatology pharmaceutical company sales force by engineering new internal software• Mentored associates and trained entire office in sales strategy and competitive analysis