Kumar R.
Data Scientist @Forto
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WORK HISTORY
Data Scientist @Forto
Berlin, DE
As an AI & Data professional, I lead end-to-end AI/ML initiatives, owning core AI systems and collaborating with Product, Engineering, Finance, and senior stakeholders to deliver scalable, ROI-driven solutions. I owned the AI backbone of Flashdoc end-to-end, ensuring system stability, bug resolution, continuous improvements, and delivery of the Partner Invoices initiative as a single DS owner across complex cross-functional teams.I have delivered enterprise-grade Document Processing platforms using DocAI, LLMs, and NLP, automating thousands of documents with accuracy more than 95% and improving productivity by 28–32%. My FinTech invoicing automation solution processes 120K+ invoices annually with 95% accuracy, optimizing financial workflows at scale. I also stabilized and optimized an Air Freight document ingestion into the TMS, generating measurable cost savings for the business.Beyond delivery, I take full ownership of production systems, specializing in MLOps & LLMOps, automation, and deployment using Docker, Kubernetes, CI/CD, FastAPI, monitoring pipelines, feedback loops, and Slack-based alerting. I continuously optimize LLM workflows for accuracy and latency, build automation via APIs and Selenium, and work closely with PMs and Engineers to integrate AI deeply into core products.
EDUCATION
SSR College of Science & Management Studies
Pre University
Visvesvaraya Technological University
Bachelor of Engineering
SRH Berlin University of Applied Sciences
Master's degree
ABOUT KUMAR R.
As a Data Scientist at Forto with a Master of Engineering and 7 years of experience, I specialize in building and owning production-grade ML/AI systems across Document Intelligence, LLMs, Generative AI, NLP, Machine Learning Prediction and Forecasting. I lead end-to-end AI initiatives, from problem framing and PoC to scalable deployment, working closely with Product, Engineering, Finance, and senior stakeholders to deliver measurable business impact.I have designed and deployed enterprise-scale AI platforms for document and invoice automation, churn reduction, credit note prevention, and workflow automation, driving operational efficiency and cost optimization across core business processes. My work focuses on building reliable, scalable ML systems with robust MLOps pipelines, CI/CD, monitoring, retraining loops, and production APIs.I bridge data science and business strategy through structured communication and stakeholder alignment. My toolkit includes Python, PyTorch, TensorFlow, LangChain, SQL, BigQuery, GCP, Google-GenAI, OpenAI, Gemini, Docker, Kubernetes, Argo Workflows, and GitHub, and I focus on scaling AI from prototypes to critical production systems that deliver tangible business value.
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