Calibration Expert in Munich

HR Transformation, Global Mobility & HR Innovation:

• Led the Global Mobility workstream for an International Assignment Host Payroll implementation, designing and executing 70+ UAT scenarios and validating cross-country payroll integrations to support a controlled and accurate global rollout.
• Developed a multi-country immigration cost-modelling framework spanning 14 countries and 2,000+ employees during the DXC–Luxoft integration, providing leadership with workforce transition cost visibility to support integration planning and decision-making.
• Established the first Global Mobility SOP framework, mapping and documenting 40+ processes to standardize workflows, strengthen governance, reduce dependency on individual knowledge and enable scalable knowledge transfer across global teams.
• Automated and standardized Global Mobility cost-estimation models using Excel macros, reducing manual effort and improving consistency and accuracy in international assignment financial modelling.
• Assessed processes across 15 HR Operations teams, establishing KPIs and acceptance criteria with stakeholders and developing a Process Health Dashboard for leadership to provide visibility into process performance and proactively identify operational risks.
• Evaluated 200+ HR processes and designed a Maker–Checker governance framework to strengthen process adherence, clarify accountability and mitigate operational and financial risk across HR Operations.
• Conceptualized and led the inaugural season of Eurekathon, a global HR idea-crowdsourcing and innovation initiative engaging ~1,000 employees to identify AI, automation and digital solutions to HR and workplace challenges; subsequently selected as an AI Champion and core team member for Season 2, contributing to program strategy and stakeholder engagement.
• Used two years of global employee-support data to redesign staffing around a newly introduced chatbot, identifying peak query periods and reallocating resources to a focused 4 hour coverage window, creating capacity for cross-skilling and improving workforce utilization.

HR Business Partnering, Talent Management & Employee Relations – Insurance Vertical:

• Partnered with business and functional leaders across India, APAC and EMEA to understand workforce priorities, employee concerns and organizational needs, translating business requirements into targeted people strategies and HR interventions.
• Partnered with HR leadership and global business stakeholders on succession planning and talent pipeline development for critical roles, strengthening visibility of key talent and supporting leadership continuity across multiple locations.
• Led quarterly talent and promotion cycles supporting ~40 promotions per quarter, partnering with business leaders on talent identification, calibration, eligibility and compensation validation, followed by employee communication and end-to-end implementation with HR Operations.
• Owned mid-year and annual performance management cycles for 3,000+ employees, partnering with managers on guidelines, timelines, goal setting, calibration, rating decisions, employee discussions and escalations; achieved 100% cycle completion.
• Delivered quarterly workforce, attrition and span of control analysis for HR and business leadership, combining turnover trends, performance insights, employee relations cases and top-talent data to identify workforce risks and inform targeted retention and talent strategies.
• Designed and launched a New Manager Development Program in partnership with Learning & Development, supporting the transition from individual contributor to people manager through structured learning.
• Advised managers on performance and employee relations matters, coaching leaders through performance concerns, Performance Improvement Plans and sensitive employee conversations.
• Partnered with Legal team to navigate complex cases and ensure consistent, compliant and well-informed decisions.
• Coached and guided new HR team members through HR processes, employee relations matters and day-to-day case management, sharing knowledge, providing hands-on support and fostering a collaborative team environment.
• Designed and executed monthly employee engagement initiatives across the business unit, partnering with business and HR stakeholders on needs identification, program ideation, communications and end-to-end execution to strengthen employee connection and engagement.
• Led the HR onboarding program for graduate hires, partnering with business and HR stakeholders to provide structured orientation on organizational culture, policies, training expectations and development, supported by a formal mentoring framework.
• Facilitated pre-joining engagement for lateral hires, maintaining candidate connection between offer acceptance and joining, addressing queries and facilitating introductions to business leaders and HR stakeholders to strengthen the candidate-to-employee transition.
• Managed sensitive employee lifecycle and separation matters, including voluntary and involuntary terminations and bereavement cases, coordinating with relevant stakeholders and supporting employees and families with empathy, discretion and compliance.
• Partnered with Global Mobility, HR leadership and business stakeholders on international workforce requirements across International Assignments, Transfers and Short-Term Commutes, coordinating HR inputs across multiple jurisdictions.
• Launched the Women in Insurance (WIN) diversity program, developing initiatives to recognize, engage and support the development of women leaders within the business.

• Development of new simulator features and extension of existing modules using C++.

• GUI design and implementation with Qt for Windows, including redesigns to improve usability and workflow.

• Maintenance and expansion of existing codebase: refactoring, bug fixes, and modularization to support new capabilities.

• Version control using Git.

• Performance optimization of simulation to meet real-time constraints.

• Creating and maintaining documentation: technical comments, design docs, API references and user manuals.

• Led a redesign that improved operator workflow and reduced task completion time.

• Extended simulator architecture to support multiple new scenario types while preserving backward compatibility.

• Implemented refactoring and modularization that simplified maintenance and accelerated feature delivery.

• Technologies: C++03, Qt4.6, QMake, Git, V-Model, Windows

• Engaged in a structured career development program while strengthening German language proficiency (B1 level) and evaluating opportunities in ADAS/AD systems and requirements engineering.

• Project: Sensor fusion application for traffic participant detection
• Software frameworks: C++ (11,14), Python, Visual Studio, MTS, Qt, GitHub, Jenkins, JIRA, Confluence, Conan, CAN, RTOS, DOORS, CMake
• Refactored and adapted sensor fusion algorithms by processing sensor data (camera and radar) for ACC and EBA as per requirements
• Handled system test issue reports in JIRA
• Tuned Kalman filters and introduced new features to enhance tracking
• Adapted architecture, detailed design (UML) and simulation tool (Qt)
• Conducted unit testing, code reviews and static code analysis in compliance with MISRA standards
• Conducted regression testing to validate software, involved in software releases (CI/CD), KPI evaluation by testing NCAP scenarios
• Flashed ADAS software to target vehicles, used UDS protocol and OBD-II tools for diagnostics and verification

• Led end-to-end tape-out and photomask preparation for a 300mm automotive semiconductor program, ensuring manufacturability, data integrity, and compliance with automotive quality standards, frame generation, multi-die placement
• Identified and mitigated manufacturing-readiness risks during technology transfer (TI / TSMC 45nm) by implementing reticle, kerf, and alignment optimizations, reducing re-spin exposure, creating alignment, overlay markers, metrology targets, CD-control features, PDM cell
• Coordinated cross-functional stakeholders across design, lithography, manufacturing, and mask vendors to deliver a production-ready mask set under strict schedule constraints
• Performed and calibrated model-based OPC for the 110 nm node, leveraging RET strategies in collaboration with the photolithography modeling team
• Impact: Enabled on-time production release of a safety-critical automotive semiconductor by mitigating tape-out and manufacturability risks under strict quality and yield

• Project Title: Path Planning Module Development (Oct 2024 – Jun 2025)

• Developed path planning module using C++14 and CMake

• Implemented gRPC communication protocol between modules

• Performed unit testing using Pytest framework and Python

• Project Title: HMI Programming for Battery, Fuel Cell Electric Vehicle (Aug 2023 – Sep 2024)

• Developed HMI software for BEV/FCEV using Ruby and Crystal for backend

• Implemented frontend using Vue.js framework

• Conducted bug fixes and simulator testing

• Project Title: IFHOST CAN Bus Programming (Jan 2023 – Jul 2023)

• Programmed CAN bus software using C and C++

• Executed unit tests with Google Test framework

• Performed integration testing using CAPL in Vector CANalyzer

• Participated in onsite testing

• Designed and owned end-to-end commercial strategy across new and established markets, covering sales, marketing, revenue management and pricing, aligned with country and company strategy, with regular C-level exchange on strategy and commercial decisions

• Established demand-driven commercial steering, aligning market levers such as CRM, ancillary monetization and offer/pricing governance with marketing and sales, combining strategic planning with structured re-calibration when market conditions changed across digital and conversational channels

• Owned topline planning and budgeting, including end-to-end budget preparation and final alignment with C-level, translating commercial strategy into measurable targets and governance

• Architected and delivered a step-change in commercial decision systems, transforming the internal RM setup from manual execution into an automated, data-driven platform to improve efficiency and quality

• Led and developed a 30-person commercial and analytics organization, strengthening capabilities and ways of working to support scalable commercial execution

• Delivered double-digit YoY revenue growth in new markets and established new products as additional revenue streams

• Achieved material efficiency and quality gains through process and product optimization and implemented a department-wide project & process management framework

• Architected an agentic, real-time offer orchestration engine where specialized agents (retrieval, pricing/optimization, and policy/guardrails) coordinate to personalise promotions across customer touchpoints using RAG with FAISS over Delta Lake and low-latency Databricks Model Serving. Collaborated with product managers and commercial stakeholders to shape the roadmap and evaluate emerging agent patterns for production.

• Designed an agent-based data quality service that orchestrates schema detection, entity normalization, and validator/exception-handling agents to clean multi-retailer SKU feeds at scale. Wrapped model calls in PySpark UDFs for distributed inference, automated via Databricks Workflows and CI/CD.

• Developed a multimodal, agentic extraction pipeline where vision, parsing, and compliance agents collaborate to derive brand, packaging, and volume from scanned images using Claude 3 Sonnet with Swin Transformer encoders. Orchestrated via Azure Event Hub with outputs persisted to Delta Lake.

• Implemented a GS1 taxonomy classification service built around cooperating agents for inference, drift monitoring, and auto-retraining governance using Falcon 180B (LoRA-tuned) with a batch pipeline on Databricks.

• Created a hybrid agent workflow where a retrieval agent surfaces candidate matches via embeddings and a reasoning/verification agent (Mixtral 8x7B) adjudicates receipt-to-SKU alignment, integrated into a streaming Databricks pipeline.

• Built a multimodal attribute inference pipeline structured as cooperating vision-language, rules/consistency, and compliance agents to fill NutriScore, nutrition fields, and packaging types from names and images using LLaMA 3-8B with CLIP embeddings.

• Developed a GenAI-powered orchestration system that ingests recipes from multiple websites, parses ingredients through structured extraction agents, and dynamically links them to real-time retailer offers via tagging, semantic reasoning, and business-rule agents.

AI-supported automation of purchases on a printing company website, including the selection of delivery times, order options, ordering, payment and uploading print data from the Lumiz cloud.

• Deployed and optimized Vision-Language-Action (VLA) and diffusion policy models on NVIDIA Jetson Orin and Jetson Thor, meeting real-time inference latency targets for humanoid robot control loops.
• Built TensorRT engine pipelines (PyTorch → ONNX → TensorRT) with INT8/FP8 post-training quantization, calibration dataset design, and quantization-aware validation, reducing inference memory footprint by over 3× on Jetson without accuracy regression.
• Developed custom CUDA C++ plugins and CUDA Graphs for latency-deterministic, real-time policy execution – meeting hard runtime and memory constraints on embedded GPU targets.
• Developed an inference engine for VLA models on top of llama.cpp bringing different VLA policies under single runtime, packaging each as a single self-contained GGUF that needs no Python or PyTorch.
• Profiled and tuned GPU execution using NVIDIA Nsight Systems and Nsight Compute, identifying CUDA kernel bottlenecks, memory bandwidth saturation, and SM occupancy issues across Jetson Orin and Thor compute profiles for cross-layer performance optimization.