Muhammad Hamza Usmani

GTM - EMEA Amazon Bedrock @ AWS

Munich, Bavaria, Germany1.2k followers
Amazon Web Services (AWS)ex-Volkswagen Groupex-Digital Product School by UnternehmerTUM

Career Timeline

JobSchool

GTM Index

  1. AMAZON WEB SERVICES (AWS)JOB
    1. Specialist GTM Solutions A…
      1Y 5M
  2. VOLKSWAGEN GROUPJOB
    1. Specialist Solutions Archi…
      1Y 8M
    2. Machine Learning Eng (AI i…
      2Y 10M
    3. Machine Learning Eng (NLP…
      2Y
    4. Master Thesis Student
      8M
  3. DIGITAL PRODUCT SCHOOL BY UNTERNEHMERTUMJOB
    1. Artificial Intelligence Eng
      2M
  4. WOM.BYJOB
    1. Werkstudent
      3M
    2. Intern
      2M
  5. TECHLOGIXJOB
    1. Software Eng
      1Y 3M
  6. CMPAK, PAKISTANJOB
    1. Summer Intern
      1M

Time in market 14Y 4MOpen 3Closed 9Stints 12

gtmindex.io/p/hamza-usmani

  1. Job: Amazon Web Services (AWS) — Specialist GTM Solutions Architect AI/ML · 2025-05 – present · 1y 3mo
  2. Job: Volkswagen Group — Specialist Solutions Architect - GenAI · 2023-07 – 2025-03 · 1y 8mo — Enabling VW to utilize text base Generative AI Solutions (LLMs): • Evaluating open-source & closed source solutions for enterprise use cases • Architecture and implementation of LLM as a Service together with complementary products (LLM as a Service, Co-pilot, RAG Factory) • Consulting top management on GenAI topics • Steering subject matter experts on enterprise relevant topics
  3. Job: Volkswagen Group — Machine Learning Engineer (AI in Manufacturing Topics) · 2020-07 – 2023-05 · 2y 10mo — This project enables VW brands to save multi-million dollars in manufactured component recalls. My responsibilities and contributions in the project were: • Lead a team of 5 engineers • Responsible for all techno-functional requirements and project planning in liaison with all internal, external stakeholders • Responsible for leading algorithm development, and evaluation by domain experts • Responsible for making scientific ML/DL algorithms productive • Architect-ed and implemented ML development and inference pipelines • Improvements in ML algorithms that resulted in reducing inference time of algorithms by 10x and reduced the memory footprint by 30x • Improvements in development infrastru…
  4. Job: Volkswagen Group — Machine Learning Engineer (NLP Topics) · 2018-07 – 2020-07 · 2y — Worked on multiple projects with NLP focus. • Engineering data pipelines on IBM DB-2 & elastic search. Developed efficient NLP processing pipelines and implemented classical ML algorithms to identify common issues in customer workshop visits. Over 80M data points were summarized in Kibana dashboards • Engineered ticket routing solution for VW electrical development department. This projected helped expedite pre-production issues on serial production car models • Developed unsupervised, affinity analysis-based solution to find rules/"error fingerprints" to identify quality issues • Developed reporting solution on special projects for C-level VW group executives • Steered, facilitated and gui…
  5. Job: Volkswagen Group — Master Thesis Student · 2017-10 – 2018-06 · 8 mo — - Master thesis student at VW-Datalab (Volkswagen Group) in collaboration with Fraunhofer-AISEC. • Worked on deep generative modeling techniques (GANs). • Developed novel approach (D2-GAN) to find anomalies by extending GAN framework. Developed extension enables to find anomalies using GANs in semi-supervised setting. • Developed approach to train neural network from classical ML method. • Evaluated developed D2-GAN on well-known datasets, and validated that developed technique achieved comparable accuracies to state-of-the-art anomaly detection methods. Thesis Title: Anomaly Detection Using Generative Adversarial Networks Thesis grade: 1.0 Tools & Technologies used: Python, TensorFlow
  6. Job: Digital Product School by UnternehmerTUM — Artificial Intelligence Engineer · 2017-05 – 2017-07 · 2 mo — A three-month internship program focused on design thinking. - Worked in interdisciplinary, international team led by SAP to develop machine learning/artificial intelligence use cases using user design thinking based approaches. - Acquired open-source data, cleaned and processed data for machine learning models. - Developed machine learning based models, mainly ensemble based techniques for automotive insurance domain with SAP.
  7. Job: WOM.by — Werkstudent · 2016-10 – 2017-01 · 3 mo
  8. Job: WOM.by — Intern · 2016-08 – 2016-10 · 2 mo — Product Development.
  9. Job: Techlogix — Software Engineer · 2014-06 – 2015-09 · 1y 3mo
  10. Job: CMPak, Pakistan — Summer Intern · 2012-06 – 2012-07 · 1 mo — Internship at IT department, Zong (CM-PAK). I was responsible for maintaining server health, reporting server statuses, and basic server configurations during my internship.
  11. School: Technical University Munich — Master’s Degree, Computer Science
  12. School: National University of Computer and Emerging Sciences — Bachelor of Science (BSc), Computer Science

Skills

Data EngineeringOperational ExcellenceIT Cost OptimizationPerformance EfficiencyCloud SecurityReliabilityAmazon EC2Amazon S3Cloud ComputingCloud StorageHybrid CloudMLOpsDelegationTransformersProduct RequirementsTechnical Solution DesignModel Evaluation and ValidationContinuous Delivery (CD)LeadershipCustomer Experience Management

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