# Veer Ram > Tech Lead Manager at Motive Location: San Francisco Bay Area, United States Profile: https://flows.cv/veerram Staff Software Engineer with 10+ years building scalable systems, leading teams, and shipping impactful products. Specialize in IoT, backend performance, distributed systems, and real-time data pipelines. Proven track record of driving product innovation and scaling platforms 0→1 at startups. Passionate about research, system design, and solving complex problems at scale. ## Work Experience ### Staff Software Engineer @ Motive Jan 2022 – Present | San Francisco Bay Area Led engineering for the Safety Cameras Team, owning technical execution, architecture, and mentorship; partnered with Staff PM, Embedded, IoT, and Design. Served as STO, driving sprint planning, performance reviews, and end‑to‑end delivery. • Developed and deployed real‑time distributed IoT pipelines on Kubernetes using Kafka, gRPC, Go, and AWS IoT Core—optimizing for millisecond latency, horizontal scalability, and 99.9% reliability. • Played a key role in building a next‑gen vehicle gateway with camera systems, including an MQTT metadata pipeline for multi‑resolution video requests. •• Deployed real‑time speeding detection and in‑cab alerts, reducing high‑risk driving behavior by 75%. •• Automated IoT device fault detection and quarantine via Datadog, Statsig; designed telemetry pipelines to track system health and proactively prevent service degradation. • Led API optimization—indexing, partitioning, caching, async processing, and deprecating low‑value metrics based on Pendo insights—cutting latency by up to 80%. • Modernized the event‑filtering engine, reducing processing costs by 30% and enabling fleet‑specific configurability. • Designed a rule‑based severity model for speeding events, enabling targeted driver coaching and reducing repeat high‑risk offenses by 25%. • Contributed to org‑wide architectural standards, defining scalability and reliability patterns for real‑time IoT streaming. • Mentored engineers through code reviews, architecture deep dives, and 1:1 coaching; influenced biannual roadmaps and feature prioritization with data‑driven system performance analyses. • Led on‑call rotations and incident management, establishing observability best practices and custom dashboards in Datadog. • Interviewed 50+ candidates, scaling high‑bar hiring across backend, infrastructure, and system design. Tech Stack: Go, Ruby on Rails, Python, Kafka, Kubernetes, gRPC, AWS services, PostgreSQL, Redis, DynamoDB, Terraform, Datadog, Statsig ### Senior Software Engineer @ Farmer's Fridge Jan 2017 – Jan 2022 | Greater Chicago Area • Designed and delivered event-driven microservices for IoT Smart Fridges, achieving 99.9% uptime and directly supporting core product and revenue growth through resilient infrastructure. • Led migration from monolithic REST API to GraphQL, cutting data over-fetching and response times by 35% resulting in a faster, more personalized user experience. • Built robust CI/CD pipelines with automated testing and rollback, reducing deployment time by 60% while sustaining 85%+ test coverage and increasing release confidence. • Delivered revenue-driving features—including mobile ordering, subscriptions, loyalty, and referrals—resulting in a 25% increase in transactions and a 30% revenue lift. • Built scalable in-app notifications and SMS platforms, enabling new customer engagement strategies and enhancing cross-channel communication for growth marketing. • Developed anomaly detection for inventory, delivery, and fridge temperature, reducing downtime risk and preventing operational losses through real-time alerting and monitoring. • Implemented passwordless authentication with Amazon Cognito, boosting mobile engagement by 15% while enhancing security and simplifying the login experience. • Optimized third-party integrations (Twilio, Segment, Slack), streamlining workflows across customer support and ops teams to improve efficiency and response times. • Mentored junior and mid-level engineers while driving best practices in scalable system design and agile delivery, ensuring alignment between engineering quality and product velocity. • Helped scale engineering team - hiring, onboarding, and coaching to build strong, high-performing talent. ### Software Engineer @ MathWorks Jan 2017 – Jan 2017 | Natick, MA • Improved IoT device battery life by 40% by implementing bulk data update features in ThingSpeak. • Developed internal API monitoring tools and won the Intern Hackathon with an IoT-based parking solution. ### Student Assistant @ Illinois Institute of Technology Jan 2015 – Jan 2016 | Greater Chicago Area ### Software Engineer @ Harman International Industries Jan 2016 – Jan 2016 | Vernon Hills, Illinois For Cadillac • Developed 'Favorites' feature and customized Android HMI layouts for Cadillac infotainment displays, improving UX consistency and usability. ### Software Engineer @ Sasken Technologies Limited Jan 2013 – Jan 2015 For NXP Semiconductors • Developed an IoT-based telematics pipeline for smartphone sensor data, analyzing daily driving events to generate behavioral insights for a Usage-Based Insurance (UBI) product. (link). • Built Java APIs and automated test suites (JUnit, ISO7816 protocol) to streamline smart card integration, reducing onboarding time by 25% and accelerating embedded system development. ### Career Services Representative @ Anna University Jan 2012 – Jan 2013 | Coimbatore Area, India • Arranged special programs for development of soft skills and technical skills for the students through experts. • Coordinated campus recruitment process for internships and full time positions. • Acted as communication channel between recruiters and students. ## Education ### Master of Science (MS) in Computer Science Illinois Institute of Technology ### Bachelor of Engineering (B.E.) in Computer Science and Engineering Anna University Chennai ## Contact & Social - LinkedIn: https://linkedin.com/in/veereshwaran --- Source: https://flows.cv/veerram JSON Resume: https://flows.cv/veerram/resume.json Last updated: 2026-04-12