Leadership
The Minds Behind
the Mathematics.
We are a collective of quantitative modelers, data architects, and engineers dedicated to solving the enterprise's most complex challenges through rigorous, production-grade AI.
Srikanth Jakkam
Chief Data Scientist
As Chief Data Scientist, Srikanth brings 13+ years of expertise in architecting high-impact ML solutions. Passionate about pushing the boundaries of what's possible at LineEquation, he specializes in Generative AI, RAG pipelines, and Agentic workflows. Srikanth is dedicated to transforming complex data into measurable business value, leading our AI teams to deliver efficiency and innovation for every client.
Rajendra Prasad Chepuri
Chief Technology Officer
As Chief Technology Officer, Rajendra leverages 13+ years of cross-disciplinary experience across data engineering, software architecture, and advanced analytics. At LineEquation, his true passion lies in architecting robust, scalable infrastructure that bridges the gap between theoretical data science and practical business solutions. From Big Data to NLP, Rajendra is committed to empowering organizations through automation and data-driven decision-making at scale.
Our Culture
Working at LineEquation
We are a small, senior team. Every person here has chosen to work on hard problems instead of comfortable ones. We hire for depth of thinking, not breadth of credential — and we expect everyone to own their work end-to-end, from whiteboard to production monitoring dashboard.
Depth Over Breadth
We hire specialists who have gone deep enough in their domain to have developed strong opinions about the right way to do things — and the humility to update those opinions when confronted with new evidence.
Production Mindset
We are not interested in building things that only work in a Jupyter notebook. Every system we design is built to be maintained, monitored, and improved over time. If it cannot run reliably in production, it is not done.
Client Outcomes First
We are not a body shop. We measure our success by the business outcomes our clients achieve — not by the technologies we got to use or the complexity of the architecture we got to design.
Join the Equation
We are always looking for exceptional data scientists, AI engineers, and quantitative specialists who want to build things that actually work in the real world.
View Open Roles