Krishna Kulumala Chaitanya

About Krishna Kulumala Chaitanya

Director‑track ML leader with 14 years of experience, including 12+ years building and scaling AI/ML platforms that drive revenue growth, margin expansion, and operational efficiency in AdTech and digital businesses. With an integrated M.Sc. in Physics from IIT Kanpur, I bring strong mathematical depth plus hands‑on experience architecting low‑latency decisioning systems that operate at auction and internet scale.​Currently operating as an Associate Director, I lead end‑to‑end machine learning initiatives across real‑time margin optimization, dynamic pricing, and bidding, managing roadmaps, priorities, and experimentation in partnership with product and engineering. These initiatives have unlocked multi‑million‑dollar impact while improving unit economics, platform efficiency, and customer outcomes.​My focus is on building durable ML organizations and platforms: setting technical direction, defining standards for modeling and MLOps, and ensuring models are reliable, observable, and tightly aligned to business KPIs. I mentor and grow data scientists, ML engineers, and analysts, and work closely with senior stakeholders to shape the ML strategy, investment cases, and executive reporting.​Technically, I work across Python, SQL, Apache Spark / PySpark, and frameworks such as Scikit‑Learn, LightGBM, and TensorFlow, with production experience on Databricks and major clouds (AWS, GCP, Azure). My domain portfolio spans margin and bid optimization, user profiling, fraud detection, CTR prediction, and brand safety, combining advanced ML, experimentation, and responsible AI practices to deliver trustworthy, high‑ROI systems.​My future aspirations are in becoming Director / Head of ML and Data Science opportunities where the mandate is to scale ML teams, platforms, and practices, and to embed AI deeply into product and business strategy. Open to connecting with CXOs, product leaders, and founders to discuss AI strategy, ML org design, and high‑impact applied ML problems.

Experience

1. Associate Director

   Nexverse.ai

   Oct 2025 — Present · Bengaluru, IN

   Lead ML-driven optimization across Nexverse’s core ad exchange, focusing on floor price algorithms, dynamic margin optimization, and intelligent request / traffic shaping to improve yield and profitability.​Design and productionize real-time models that set impression-level price floors and margins, balancing net revenue, win rate, fill rate, and advertiser performance across diverse inventory and buyer segments.​Build request optimization and QPS strategies that filter and prioritize high-value bid requests, reducing bidstream bloat while improving auction quality, latency, and infrastructure efficiency.​Partner with product, engineering, and commercial teams to translate auction dynamics and marketplace constraints into robust optimization roadmaps, online experiments, and measurable revenue and margin uplift.

Education

• Indian Institute of Technology, Kanpur

  M.Sc.(integrated) Physics, Physics

  2004 — 2011