Role Overview:
- Working across technical discovery, solution design, and implementation to move AI ideas toward useful deployments.
- Connecting product, engineering, and user needs through hands-on experimentation and iterative delivery.
Work
Where I've worked and what I delivered.
- Forward Deployed Engineering (FDE) - Microsoft Frontier Co.Mar 2026 – Present 4 mo Zurich, SwitzerlandAIApplied AIForward Deployed EngineeringHuman-in-the-Loop AI
- Joined Microsoft Frontier Co. in Zurich to work on FDE-focused initiatives at the intersection of applied AI, engineering, and customer impact.
- Translate emerging AI capabilities into practical solutions for real-world workflows and operational challenges.
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- Lead Applied Scientist / Lead Data ScientistMay 2022 – Feb 2026 3 yrs 9 mo Berlin, GermanyHealthcareGenAIEvaluationMultimodalRAGRAIEU
- Leading applied research on multilingual clinical note generation for EU healthcare, with emphasis on compliance, safety, and adoption.
- Designed evaluation pipelines (reference-free and reference-based) to assess hallucinations, omissions, and toxicity.
- Led applied research on RAG systems for enterprise QA and retrieval tasks.
- Served as Responsible AI Lead (EMEA), guiding 60+ RAI Champs and advising on compliance in sensitive domains.
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- Explored prompt strategies, fine-tuning, and architecture adaptation for clinical note generation.
- Built agentic workflows integrating SFT and instruction-tuned models for steerable outputs in medical contexts.
- Fine-tuned and evaluated LLMs (Phi-3-Vision, GPT-4, Mistral, LLaMA) across enterprise and multimodal retrieval tasks.
- Collaborated on experimental pipelines for multimodal models (Phi-3-Vision, GPT-4o) in Healthcare and Autonomous Driving.
- Developed scalable benchmarking setups for LLM search and retrieval performance.
- Ensured compliance with EU AI Act and MDR regulations to enable trustworthy AI adoption in healthcare.
- Senior Data Scientist (Product)Dec 2019 – Apr 2022 2 yrs 4 mo Hannover, GermanyForecastingMLOpsAWSSupply Chain
- Developed end-to-end ML pipeline for demand forecasting AI platform in supply chain.
- Reduced manual planning costs for 75+ planners by 10–15% using AWS cloud solutions.
- Delivered 18-month rolling forecasts across 32+ EMEA markets.
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- Engineered features and evaluated ARIMA, Prophet, gradient boosting, and deep learning approaches.
- Built reliable retraining and monitoring workflows to sustain accuracy in production.
- Communicated results to stakeholders and managed platform user expectations.
- Senior Data Scientist (Consultant)Sep 2017 – Nov 2019 2 yrs 2 mo Hannover, GermanyConsultingFinancial ServicesAutomotiveRetailForecastingNLPAnomaly Detection
- Delivered ML solutions for the European Financial Authority, including credit risk prediction and anomaly detection on regulatory datasets.
- Built an NLP-powered search engine for RfQ documents at a major automotive client.
- Developed demand forecasting models for a leading German retailer.
- Created internal Deloitte showcases, including fraud analytics, travel recommender, demand forecasting, and a reusable data science platform.
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European Financial Authority — Data Intelligence Service Center (2017–2018)- Developed models for credit risk forecasting.
- Designed anomaly detection approaches for large-scale regulatory datasets.
- Authored a user guide and educational material to scale adoption internally.
Major Automotive Client (2018)
- Built a domain-specific NLP search engine for document discovery and knowledge management.
Major German Retailer (2019)
- Designed daily demand forecasting models per store and product.
- Consolidated production forecasts for suppliers into unified planning workflows.
Deloitte Internal Initiatives (2017–2019)
- Fraud Analytics Platform for detecting anomalies in financial datasets.
- Travel recommender for employees.
- Store-level demand forecasting tool.
- Deloitte Data Science Platform for cross-use-case ML applications.
- Data ScientistJul 2016 – Jun 2017 11 mo Hannover, GermanyMarket ResearchAnomaly DetectionData StreamsData QualityMonitoring
- Strengthened reliability of panel data by deploying a real-time anomaly detection system.
- Accelerated predictive analytics projects with exploratory analysis and feature engineering.
- Enabled faster decisions through dashboards that visualized and monitored data streams.
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- Focused on improving data quality and trust in large-scale panel research pipelines.
- Designed anomaly detection approaches and validated them against historical datasets.
- Partnered with internal analytics teams to roll out dashboards for quality tracking and reporting.
- Technical ConsultantJun 2012 – Aug 2014 2 yrs 2 mo Chandigarh, IndiaFinTechAutomationFinancial DataInternal Consulting
- Designed and implemented automated workflows for financial data processing and e-invoicing.
- Improved reliability of end-to-end data transmission across multiple financial data formats.
- Contributed to projects enhancing transaction processing, digital invoicing, and client integrations.
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- Developed automation strategies for parsing and validating electronic invoice formats (MRT, EDIFACT, XML).
- Enhanced stability of Basware’s financial transaction systems, including Virtual Printer and Transaction Server.
- Delivered client-focused solutions ensuring smooth integration and accurate data exchange.
Education
- Masters in Computer Science (Informatik)Leibniz Universität • Hannover, GermanyOct 2014 – Jun 2017
- In collaboration with: TU Braunschweig, Uni Göttingen, TU Clausthal & KIT Karlsruhe.
- Focus: Information Retrieval, Efficient Algorithms, Big Data, Data Mining, Simulation Engineering.
- Bachelors in Computer Science (Informatik)UP Technical University • Lucknow, IndiaJul 2008 – Jun 2012
- Focus: Engineering Mathematics, Data Structures & Algorithms, Data Mining & Warehousing, Distributed Systems.