Headline

Product & Platform Leader | Product Strategy, Scale & Customer Outcomes

About

I work at the intersection of product, enterprise customers, and revenue, helping bridge the gap between physics and experimental systems. Currently, I am the Product Owner and Support Manager for SimSight, a Process Intelligence platform utilized by BioPharma Process and MSAT teams to combine physics-based modeling with AI-driven insights. My focus is changing that paradigm. Instead of optimizing solely for short-term execution, I design: Clear Product Narratives: Empowering sales teams to drive repeatable revenue. Scalable Workflows: Replacing bespoke, brittle integrations with robust systems. Balanced Roadmaps: Weighing immediate customer urgency against long-term architectural leverage. In practice, this means owning product integrations, roadmap trade-offs, and managing a six-figure annual revenue footprint during high-risk phases all, while actively building the systems to make myself less central over time. Outside of work, you will find me training for CrossFit & Hyrox, playing pickleball, and actively engaging with other product leaders who care about leverage, clarity, and building lasting impact.

Location

Pune Division

AI stack

opencode

claudecode

Work experience

Product Owner & Product Support Manager at Tridiagonal Software Inc., Apr 2024 - Present · 2 yrs 5 mos, Pune District, Maharashtra, India, Product & Platform Leadership - Led end-to-end product integration and platform initiatives, owning workflows, data models, and roadmap prioritization across multiple capabilities. - Balanced customer requirements with long-term scalability and technical debt, preventing bespoke commitments from eroding product leverage. - Partnered with engineering, design, and application teams to improve UI/UX and core workflows, reducing adoption friction and delivery effort. Revenue, Customer Lifecycle & Risk Ownership - Primary escalation owner for enterprise and mid-market accounts across onboarding, integration, and renewal-critical phases, covering a six-figure annual revenue footprint. - Managed customer lifecycle risk by translating complex product behavior into clear, outcome-oriented communication. - Proactively identified delivery and adoption risks to minimize churn, renewal delays, and post-sales overhead. Go-To-Market & Product Positioning - Supported go-to-market execution, including qualified demos, ICP assessment, and product positioning during early platform expansion. - Identified structural risk where revenue depended on PM presence and drove movement toward repeatable sales narratives and standardized discovery. - Collaborated with sales and marketing to align product capabilities with market needs. Team Leadership & Capability Development - Coached Application Engineering teams on technical depth, customer communication, and ownership boundaries. - Built processes, documentation, and decision frameworks to reduce single points of failure and improve operational scalability. Platform Readiness & Delivery Quality - Provided architectural guidance and delivery oversight for customer-facing applications and integrations. - Improved release readiness, deployment stability, and production quality, reducing downstream support and delivery risk.

Member at AI Guild, Aug 2021 - Present · 5 yrs 1 mo

Lead Data Scientist at Tridiagonal Software Inc., Apr 2022 - Apr 2024 · 2 yrs 1 mo, Pune Division, Maharashtra, India

Senior Data Scientist at Tridiagonal Software Inc., May 2021 - Apr 2022 · 1 yr, Pune Division, Maharashtra, India, Some of the things I work on: - Developing Interactive Dashboards/ standalone web apps for no code advanced analytics using #python #ipywidgets #ipyvuetify #plotly #matplotlib #voila #HTML5 #CSS - I am a Core member of SimSight (Flagship Software Product) Development team. - Developing #postprocessing capabilities in Jupyter Notebooks from CFD software - Developing Reduced-Order Models Interpolation solutions for near-instantaneous visual results for Digital Twin Assets - AI for Computational Fluid Dynamics: Testing and validating #AI model results for Bioreactors in partnership with byteLAKE

Mechanical Engineering Intern - Process Analytics at Tridiagonal Solutions, Mar 2020 - Sep 2020 · 7 mos, San Antonio, Texas, Tridiagonal Solutions is a consulting house, providing solutions to the process industry leveraging advanced modeling, workflow automation and process data analytics techniques to provide solutions. My responsibilities: -Performed data cleaning & validation, analysis and modeling of structured and unstructured data from Oil and Gas, Process and Pharmaceutical industries. -Used PCA for prediction of event detection and setting control limits for normal operation of pressure vessels. Developed one dimensional monitoring model using dimensionality reduction. -Developed ML models for prediction with 90% accuracy using Linear Regression, PLS and Interpolation of CFD simulation data reducing resource cost and time required for first principle analyses. -Created interactive standalone webapps using voila in Jupyter for real time monitoring of process data from plant. Developed Power BI dashboards and used python scripts for dynamic visualizations. -Collaborated with SMEs to compile technical resource handbook using Quality by Design principles. -Completed Seeq training courses. Developed predictive maintenance model of equipment and golden batch determination use case examples in Seeq.

Quality Engineer at Made To Measure, Aug 2018 - Jan 2020 · 1 yr 6 mos, East Dundee, Made To Measure is a quality inspection laboratory for metrology located in the heart of East Dundee, IL. My responsibilities: -Examined engineering drawings (blueprints) to inspect various parts including Automotive, Aerospace, Medical parts. Interpreted GD&T to inspect conforming to ASME and ISO standards. -Created MODUS, Micro-Vu programs, while using manual measurement tools to complete inspection on assemblies and parts. Completed large scale inspection of over 25000 parts at once. -Performed Statistical Process Control (SPC) and created capability study reports, exercising mathematical concepts to understand, interpret underlying statics and convey the results to the customer. -Experience with FAI and Cpk dimensional analysis and reports for external vendors. -Reverse engineering parts, generating 3D CAD models in SolidWorks & detailed 2D blueprints.

Application Engineering Intern at Schneider Electric, Jun 2017 - Aug 2017 · 3 mos, Carlsbad, California, - Optimized Mathematica code to visualize 3D objects from a data set of coordinates. -Achieved 40% optimization of simulator performance with graphical observations in Mathematica. -Reverse engineered turbine and valve trim to match simulated and real time data to 90% accuracy. - Documented tag names to cross reference operator data from power plants, conducted quality control analysis in Dynsim. Gained hands on experience in SimCentral and Dynsim.

Education

Master’s Degree, Mechanical Engineering, Ira A. Fulton Schools of Engineering at Arizona State University

Bachelor of Technology (BTech), Mechanical Engineering, Manipal institute of technology