India
I sit at the intersection of complex technical execution and early-stage chaos. With a background from IIT-M and Stanford, I specialize in taking AI and technical operations from 0 to 1, building the frameworks, systems, and teams needed to scale. I thrive in ambiguity, translate deeply technical concepts into operational execution, and help teams build a repeatable playbook for growth. Always open to connecting with teams, founders, builders, and tech leaders driving the next wave of innovation..
Brought on as a Forward Deployed Engineer to bridge the gap between our core AI platform and complex client environments. I specialize in deep-diving into client architecture, optimizing our internal platform, and building workflows that require zero behavioral change from the end user. - Platform Optimization & Architecture: Brought in to architect client SOPs, diving deep into the core platform to drive critical engineering improvements. Suggested and implemented optimizations across webhook integrations, concurrency models, and overall infrastructure costs. - Enterprise Deployment & Automation: Spearheaded workflow automation for a major freight operator, overhauling their scheduling and load-building processes to drastically reduce manual touchpoints. User-Centric Design: Championed a "meet clients where they are" philosophy by leveraging Microsoft Teams as a seamless, low-friction UI for complex backend operations. - Go-To-Market (GTM) Enablement: Partnered directly with the GTM team to build and deliver comprehensive, multi-modal product demos (Voice, Web, Browser, and Outlook/Teams flows) to accelerate the sales cycle and showcase full platform capabilities. - Tech Stack & Integrations: Claude Code, Cursor, VAPI, and extensive mapping of client-side internal APIs for seamless platform integration.
- Successfully lead a cross-functional team of 30+ developers, QA members, and product professionals, driving the growth and resilience of our product offerings. - Played a pivotal role in scaling the product from its alpha stage to a mature, market-ready solution, optimizing performance, and ensuring its reliability under increasing user demand. - Led keystone initiatives to integrate AI + ML offerings into the product, enhancing its capabilities and overall user experience. Additionally, collaborated with stakeholders to develop and implement comprehensive business continuity plans, ensuring the product’s stability and minimizing potential disruptions. -Ability to manage complex projects and deliver results has been key in driving product success and fostering a collaborative, high-performing team environment.
Involved with Financial Modelling using Sales and Material Purchasing data; Used Odoo to process and approve orders Identified avenues of material cost saving; tracked inventory and coordinated with on-site on Installation teams
Developed industry-first software tools for automated Bill of Materials (BOM) creation from Revit Models to capture quantities and costs accurately from schematic design to the construction administration stages. Developed and tested Structural Design Automation Tools for reporting shear and bending moment diagrams for Cold Formed Steel using finite strip methods thereby substantially reducing iterative design time. Developed tools to automatically generate Quantity Takeoffs for Lumber and other bulk material from Revit models to reduce purchase costs up-to 25% by advance negotiations and purchasing.
Optimization of Bi-Stable Lattice Structures for 3D printing Prof. Adrian Lew, Hardik Kabaria (Carbon 3D) Dynamic Analysis of Bi-Stable Lattices using LS-DYNA, comparing buckling modes and conforming stability. Involved lattice parameterization, tessellations, mesh generation, and non-linear dynamic simulations. Analysis lead to a comparison of lattices for best engineered performance in 3D printed Structures Thermomechanical Degradation of Multijunction Photovoltaics Prof. Reinhold Dauskardt, Daisy Yuan Stanford University Modelling of Themo-Mechanical Cracks in isotropic media using Finite Difference Methods. Performed extensive simulations for modelling the seeding, and propagation in dendrites in the junction layers. Created simulations of different junction layer properties to identify longer lasting photovoltaics materials.