Über Arpit
- Designing and implementing cloud-native architectures
- Building and deploying AI/ML systems
- Conducting technical audits and due diligence
- Leading development teams on complex software initiatives
Englisch
Muttersprachlich oder zweisprachig
Deutsch
Konversationssicher
Hindi
Verhandlungssicher
Projekt- und Berufserfahrung
- PactosTechLeadJuli 2024 - September 2025 (1 Jahr und 2 Monate)Munich, Germany• Defined product vision and roadmap, designed multi-tenant architecture consolidating client databases, cutting maintenance overhead and enabling scalable onboarding and cross-system interoperability• Architected secure, scalable backend and API infrastructure, including cloud orchestration and database design• Implemented Infrastructure as Code using Azure Bicep/ARM templates to automate deployment of cloud resources and ensure reproducible, secure environments• Designed data storage & processing architecture to ensure GDPR compliance, accountability via traceable audit mechanisms• Implemented AI automation, cutting operations time, to enhance staffing workflows while ensuring privacy-by-design.• Drove technical due diligence readiness, validating security, scalability, & compliance.• Led hiring & mentoring for the engineering team; ensured delivery velocity while maintaining product and code quality
- LegalAICo-founder & CTO (Product & Technology)Januar 2021 - Oktober 2023 (2 Jahre und 9 Monate)Berlin, Germany• Founded LegalAI to automate pre-litigation workflows using GenAI, adopted by major legal insurers & law firms in Germany• Engaged with clients to define solution requirements and secure adoption, conducting 100+ user interviews to validate key pain points and iterate on MVPs through rapid customer development sprints• Led client enablement workshops on AI adoption to drive successful integration of generative AI into legal workflows• Led development of an AI-based legal automation suite for client onboarding, case analysis, & document generation, reducing onboarding time by 12x, achieving 90% accuracy, driving 96% user satisfaction while maintaining compliance & risk controls• Developed NLP-based data extraction pipelines and automated data validation workflows for historic case data• Implemented data minimization practices to ensure AI models process only necessary client information while applying data pseudonymisation and anonymisation techniques to protect sensitive client information
- FortissScientistJuni 2017 - Januar 2021 (3 Jahre und 7 Monate)Munich, Germany• Managed roadmap & architecture for EU-funded climate-tech energy project enabling low-carbon p2p energy trading• Ensured 100% adherence to project milestones, EU compliance & reporting obligations across 7 multi-country teams• Implemented ML-powered forecasting models for energy generation and load balancing to enable intelligent decision-making• Collaborated with distributed teams across Germany and Finland; aligned technical decisions with business priorities
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Ausbildung und Abschlüsse
- MScTechnical University of Munich2018MSc
- BEManipal University2012BE