Lakshay C. — AI Researcher

I build AI systems that move real metrics—faster ops, higher retention, healthier platforms. My sweet spot is the intersection of machine learning, experimentation, and product: framing the problem with business outcomes, shipping models and assistants users actually adopt, and hardening the systems behind them so they scale cleanly. Recently at Intuit, I launched an enterprise chatbot for marketers that cut campaign build time by 80%+ and freed ~40K hours a year, grounded by retrieval over brand/compliance/campaign history with inline source citations. I also run large-scale, cluster-randomized experiments (with variance reduction, stratification, and sequential testing) and ship real-time next-best-touch models that drive double-digit gains in 90-day retention and revenue. Previously at Apple, I worked across health and services. I led development of a wearable digital biomarker for atrial fibrillation risk (validated across multi-site EHR cohorts with strong discrimination and parity checks) and built a privacy-first learning stack across hospital partners—data model harmonization, secure aggregation, explainability, and drift/bias monitoring—deployed to millions under rigorous governance. I also stood up CI/CD for experimentation in Services and improved engagement with on-device bandits that personalized timing and content without triggering alert fatigue. Earlier at Pfizer, I applied causal methods and language models to accelerate trials and sharpen pharmacovigilance: shortening time to first-patient-in, reducing screen failures, building reusable real-world evidence pipelines, and doubling case-triage throughput with AI-assisted safety workflows. How I work: start with the outcome; write a clear spec and success metrics; instrument for observability and ownership; validate with disciplined experiments; and keep a tight loop with customers, agents, and stakeholders. I care about reliability as much as lift—clean extension points, principled quota/rate limits, and fast incident recovery. I’m excited by roles where AI + rigorous measurement unlock step-function improvements in customer experience and operational leverage. If you’re building ambitious products with high standards and real impact, let’s connect.

Stackforce AI infers this person is a Data Scientist specializing in AI and Machine Learning for MarTech and Healthcare.

Location: San Francisco, California, United States

Experience: 7 yrs 8 mos