Über Vignesh
Englisch
Muttersprachlich oder zweisprachig
Deutsch
Grundkenntnisse
Projekt- und Berufserfahrung
- PerfientSolo FounderHIGHTECHNovember 2025 - Heute (7 Monate)Berlin, Deutschland• • Leveraged AI-assisted engineering tools to rapidly prototype, architect, and deploy a secure, full stack financial AI agent using Python (FastAPI), TypeScript, and AWS/GCP pipelines in under two months.• • Engineered long-form text parsing and context retrieval mechanisms to map unstructured financial feeds into deterministic mathematical projection engines.• • Architected with a high-performance, asynchronous data pipeline optimized for low-latency financial query processing.• • App built with privacy-by-design and client-side encryption rules to securely handle sensitive user asset snapshots.• • The app is fully functional and live at• • Attended various summits and startup events to pitch Perfient.
- Teraki GmbHSENIOR PRODUCT MANAGERHIGHTECHApril 2024 - November 2025 (1 Jahr und 7 Monate)Berlin, DeutschlandFully Autonomous Sidewalk Delivery RobotLed end-to-end collaboration with Foodora (Sweden) for delivering an autonomous sidewalk robot powered by in-house software.Securing permits for operating the robot in Stockholm with Swedish Traffic Authorities.Developed a product roadmap with 10 key features for full autonomous functionality.Utilized agile methods, reducing time-to-delivery for new features by 20%.Managed a cross-functional team of 6 engineers, delivering the product 10% under budget.Received customer appreciation for timely, high-quality deliveries.Semi Autonomous (tele-operated) ForkliftLed end-to-end development of a tele-operated forklift solution that got showcased at Berlin Science Week.Designed and developed the sensor box with Constin GmbH to enable semi-autonomous operation.Collaborated with customer (Rhenus Logistics) to gather warehouse automation requirements for the forklift.Prepared business case, CAPEX, and bill of materials for the solution.Improved cross-functional team efficiency by 35% through effective project tracking, risk mitigation, and communication.Machine Learning RadarLed development of machine learning models to replace traditional peak detectors (OS-CFAR) in radar for autonomous driving and In Cabin Monitoring systems.Achieved on time delivery of AI SW in Forvia’s In Cabin Monitoring system project.Managed a cross-functional team of 4 engineers to port the ML model to embedded systems and deliver it to customers.Conducted competitor analysis to ensure our ML radar outperforms the competition.Presented the product to automotive customers like Magna, Valeo, and NXP.Implementing agile methodologies, to improve project deliverability by 65% in one year.
- Elektrobit Automotive GmbHPROJECT MANAGERJanuar 2003 - Januar 2024 (21 Jahre)• • Responsible for SWE.1, SWE.2, SWE.3, SWE.4, SWE.5 and SWE.6 levels of V model.• • Managed cooperative, cross-functional teams improving team productivity by 20%.• • Familiar with Scrum and Kanban processes followed in the project by different teams.• • Released company wide test plan that reduced redundancy within test team by 80%.• • Experienced with Functional Safety test methods like Fuzz testing (ISO26262).• • Completed internal Cybersecurity basic training program
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Ausbildung und Abschlüsse
- BACHELOR OF ENGINEERINGAnnai Mathammal Sheela Engineering College2009BACHELOR OF ENGINEERING
- ISTQB certified test professional.ISTQB certified test professional.