Abhi Saini

Geoforce is a cloud-based software platform with rugged GPS devices using global satellite & cellular networks, solving for efficient asset location and retrieval, rental invoice auditing, service delivery verification, inspection compliance, equipment maintenance alerts, and more.

Enterprise software platform provider enabling telecom operators to digitize and scale core network operations (provisioning, billing, customer lifecycle) through its Digital Network Operator (DNO) stack. Owned end-to-end product strategy and delivery of a digital mobile platform for a leading European telecom operator, built on complex telecom infrastructure, enabling customers to purchase, activate, and manage mobile services (eSIM/pSIM, plans, add-ons) through a unified, scalable digital experience. • Partnered with solution architects and engineering teams to design and integrate complex telecom systems (provisioning, billing, identity, payments) using the Digital Network Operator (DNO) platform, translating backend capabilities into scalable, user-facing product experiences. • Led cross-functional execution across mobile (iOS / Android), backend engineering, and client teams, driving product from discovery and UX co-creation through development, testing, and launch readiness in a multi-stakeholder environment. • Delivered and launched the digital app in collaboration with client marketing and operations teams, increasing digital channel adoption by >30% and reducing customer onboarding and activation time by ~50%.

Owned product strategy and execution for ADAS and autonomy-adjacent systems, focusing on perception, sensor fusion, and decisioning components operating under real-world driving conditions and embedded hardware limitations. • Defined interface contracts and data flows across perception, sensor fusion, and planning modules within DRVLINE-based ADAS stack (camera + radar), enabling reuse across 2 OEM programs while balancing modularity vs end-to-end latency constraints (~100ms target for real-time response). • Worked with perception and ML teams to improve object detection (+12% mAP), focusing on failure cases we were seeing in testing (e.g., occlusions, low-light pedestrians) rather than just improving overall model accuracy. • Prioritized perception and fusion improvements based on observed downstream system behavior in testing (e.g., late detections affecting braking/steering responses), shifting focus from aggregate model metrics to issues that impacted real-world driver assistance performance. • Defined sensing and driver monitoring requirements for L1–L3 ADAS features (lane keeping, collision avoidance, driver state detection), translating safety and usability needs into measurable performance thresholds under diverse driving conditions. • Contributed to evaluation and validation workflows using recorded driving data and scenario-based testing, aligning perception and decisioning performance with real-world driving requirements and edge-case handling. • Built in-cabin driver monitoring system using behavioral and vision-based signals to detect fatigue and distraction; defined detection thresholds and response strategies balancing sensitivity vs false alerts to maintain driver trust and safety. • Developed cloud-based contextual intelligence system integrating traffic, weather, and road data streams (<2s latency), enabling proactive driver alerts and augmenting onboard decision-making with external context.

Global automotive OEM building vehicle platforms spanning electric vehicles, digital cockpits, and advanced driver assistance systems for production deployment at scale. • Led development of digital cockpit and HMI systems for the Chevrolet Bolt EV, defining UI architecture, interaction flows, and multimodal interfaces (touch, voice, haptics) across instrument cluster, infotainment, and head-up display systems. • Partnered with engineering teams to integrate hardware and software systems under real-world constraints (latency, screen placement, responsiveness), ensuring compliance with safety standards and optimizing driver attention, cognitive load, and usability in production environments.

Global Tier-1 automotive supplier providing integrated vehicle systems and engineering solutions across body, chassis, powertrain, and ADAS for major OEMs. • Worked on CAD/CAE-driven vehicle system design, analyzing durability, fatigue, and NVH (noise, vibration, harshness) characteristics to support engineering decisions for production automotive components.

Produced real-time interactive models for Tesla, used by visitors at the 2010 Paris Auto Show.

Created design proposal for commercial van. Contributed to production-vehicle feasibility studies.

𝗞𝗲𝘆 𝗖𝗼𝘂𝗿𝘀𝗲𝘄𝗼𝗿𝗸: Computing for Data Analytics, Computational Data Analysis, Data & Visual Analytics, Database Systems, Intro to Analytics Modeling, Simulation, Regression Analysis, Financial Modeling, Data Analytics for Business

𝗞𝗲𝘆 𝗖𝗼𝘂𝗿𝘀𝗲𝘄𝗼𝗿𝗸: Strategy Lab; Models for Strategic Planning; Blue Ocean Strategy Study Group; Industry And Competitive Analysis; Strategic Market Intelligence; Strategic Pricing; Entrepreneurship in Action; Strategies for Bottom of the Pyramid; Strategies for Asia Pacific; Distribution Channels & Sales Force; Mergers, Acquisitions, Alliances & Corporate Strategy

𝗞𝗲𝘆 𝗖𝗼𝘂𝗿𝘀𝗲𝘄𝗼𝗿𝗸: Investments, Corporate Finance, Financial Derivatives, Financial Statistics, Project Finance

𝗞𝗲𝘆 𝗖𝗼𝘂𝗿𝘀𝗲𝘄𝗼𝗿𝗸: Product Design Studio, Transportation Design Studio, Human Machine Interface, Vehicle Packaging, Human Centered Design