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Dr. Wasif MasoodDW

Dr. Wasif Masood

Data Scientist & GenAI Consultant

650 €/Tag
2 Projekte
Berlin, DE
8-15 Jahre

Durchschnittliche Reaktionszeit: 1h

Über Dr. Wasif

Dr. Wasif Masood is a serial entrepreneur and AI researcher with three live products in market. ChaperoneAI builds enterprise-grade, domain-specific LLMs for pharma — its custom-trained models have surpassed 27,000 downloads, performing within 4 points of GPT-4o on the MedQA benchmark. NumericalAI is the first GPU-native, one-click CFD simulationplatform — running high-fidelity computational fluid dynamics on NVIDIA GPUs with 1000x speedups, zero licensing fees, and already attracting strong VC interest. Deep Research is an AI-powered research copilot searching 200M+ papers across OpenAlex, arXiv, and PubMed, synthesizing findings into citation-backed reports — powered entirely by in-house customized, self-hosted GenAI models with no dependency on third-party LLMs.
All three products operate under Empirisch Tech GmbH, founded in Oct. 2021. The company's innovative work has earned it membership in several startup programs: Microsoft for Startups Founders Hub (Stage 5, $150K Azure credits), NVIDIA Inception, AWS Startup, and Microsoft's ISV program.

Dr. Masood's next venture is within a highly selective 5G research consortium, where he leads development of a Physical AI system for improving indoor locomotion on factory floors — deploying intelligent agents for smooth, safe industrial navigation.

Prior to entrepreneurship, Dr. Masood led teams of data scientists and AI researchers at T-Mobile Austria and Neolytica AI USA. He also held an AI research position at the Max Planck Institute — a world-leading organization with 28 Nobel Prizes — advancing automated scientific discovery. His applied contributions earned him the 2019 Cloudera European Data Hero Award for translating advanced analytics into tangible business and customer value.

Dr. Masood has authored 10 peer-reviewed papers, with two
top-tier Q1 journal (Impact Factor 11.7) namely IEEE Transactions on Industrial Informatics (TII), also served as a reviewer in the journal.
  • Englisch

    Muttersprachlich oder zweisprachig

  • Deutsch

    Konversationssicher

Vor Ort möglich
Berlin (bis zu 50 km), Berlin (bis zu 50 km), Frankfurt (bis zu 50 km), Hamburg (bis zu 50 km), Munich (bis zu 50 km)

Projekt- und Berufserfahrung

  • Ironhack Group Inc Sucursal es España
    Lead Teacher AI Web Development & Data Science
    BILDUNG & E-LEARNING
    April 2024 - Mai 2024 (1 Monat)
    Taught on online course to advance AI and Data Science concepts to a class of 20 IT professionals. Course included theory as well as labs sessions.
    Data science Machine learning Deep Learning Python Pycharm Microsoft Visual Studio Jupyter REST flask Algorithms
  • QP Pharma
    GenAI Consultant
    PHARMAZEUTISCHE INDUSTRIE
    März 2024 - Heute (2 Jahre und 3 Monate)
    Newark, Vereinigte Staaten
    Implemented various LLM based solutions for information retrieval (document and database), content tagging, summarization and automated report generation.
    Llama-3 Llama-2 OpenAI gpt-4 RAG LLM AWS Lambda function
  • Qonda GmbH
    R&D Consultant on S2ST, TTS, ASR
    HIGHTECH
    Februar 2024 - Februar 2024 (1 Monat)
    Berlin, Deutschland
    Wrote the two research proposals to be presented to Investment Bank Berlin (IBB):
    • Flow normalization using multi-stage single-channel speech enhancement approach in ASR.
    • Optimizing S2ST: Model Compression and Data Augmentation for Efficient Speech-to-Unit Translation
    Speech-2-Specch-Translation (S2ST) Text-to-Speech (TTS) Automatic Speech Recognition (ASR) Deep Neural Networks Voice Activity Detection (VAD) Convolutional Neural Network (CNN) speech enhancement LibriSpeech acoustic scene analysis Dual-Path Recurrent Neural Network (DPRNN) LSTMs RNNs TCN-DenseUNet Multi-Frame Minimum Variance Distortion Less Response (MFMVDR) filter

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Ausbildung und Abschlüsse

  • PhD Information & Technology
    Klagenfurt University, Austria
    2017
    Did time-series modeling with state-of-art models such as state-space modeling and kalman filters.
  • MSc Soft. Syst. Engineering
    RWTH Aachen, Germany
    2011

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