Maciej Balawejder

Enterprise GTM

London7.2k followers
Sodaex-NannyML (acq. by Soda Data Quality)ex-YouTube

I have a strong background in mathematics, ML & DL. I am particularly interested in computer vision, natural language processing, and reading and implementing research papers.

More

I enjoy sharing my knowledge with others.

Career Timeline

JobSchool

GTM Index

  1. SODAJOB
    1. SDR Mgr
      7M
    2. SMB Account Executive
      9M
    3. GTM Eng / SDR / Sales Ops
      5M
  2. POLITECHNIKA WARSZAWSKASCHOOL
    1. Mechatronika, robotyka i a…
      8Y
  3. NANNYML (ACQ. BY SODA DATA QUALITY)JOB
    1. Founding SDR
      9M
    2. Data Scientist
      9M
    3. Data Science Writer
      5M
  4. YOUTUBEJOB
    1. Deep Learning Content Crea…
      2Y 2M
  5. DE MONTFORT UNIVERSITYSCHOOL
    1. Bachelor's degree, Mechani…
      3Y 8M
  6. MEDIUMJOB
    1. Data Science Writer
      2Y 2M
  7. ASM ASSEMBLY SYSTEMSJOB
    1. Junior Data Scientist
      1Y

Time in market 8YOpen 2Closed 9Stints 11

gtmindex.io/p/maciej-balawejder

  1. Job: Soda — SDR Manager · 2026-03 – present · 5 mo — - Building a big pipeline
  2. Job: Soda — SMB Account Executive / Sales Engineer · 2025-06 – 2026-03 · 9 mo — - Closed 8 accounts $100k+ in ARR - Owned the full buying cycle e2e:  intro call, demo, PoC, signature, onboarding
  3. Job: Soda — GTM Engineer / SDR / Sales Ops · 2025-01 – 2025-06 · 5 mo — - Booked plenty of intro calls - Setup all campaigns for cold/webinar/content/conference follow-up outbound - Setup all of the tooling for outbound(including calling), and integrate them with Salesforce - Picked up a phone and dialed leads
  4. Job: NannyML (acq. by Soda Data Quality) — Founding SDR / GTM Engineer / Fixer · 2024-03 – 2024-12 · 9 mo — - First sales person - Setup all processes for outbound sales - Booked repetitively 5 intro calls/week and 100+ in total (mostly from linkedin outbound) - Built together with co-founder sales pipeline with €1mln in it - Setup all campaigns for cold/webinar/content outbound
  5. Job: NannyML (acq. by Soda Data Quality) — Data Scientist · 2023-05 – 2024-02 · 9 mo — - Engineered demo use cases that included data exploration, ML model building, and simulated production deployments. These demos covered various industries, such as manufacturing, banking, and hospitality. - Spoke at the MLOps Community event in London about ML monitoring workflow and preventing model failures in production. - Authored six blog posts on deploying and monitoring machine learning models in production. - Co-authored the "Monitoring Machine Learning in Python" course and the "Monitoring a Financial Fraud Detection Model" project on DataCamp. - Designed documentation for NannyML Cloud and imprtoved the existing documentation for NannyML open-source. - Published over 40 Link…
  6. Job: NannyML (acq. by Soda Data Quality) — Data Science Writer · 2022-12 – 2023-05 · 5 mo — - Wrote few blogs and with other writer grew blog traffic from 200 to 10k views
  7. Job: YouTube — Deep Learning Content Creator · 2022-03 – 2024-05 · 2y 2mo — Breaking down research papers and implementing them.
  8. Job: Medium — Data Science Writer · 2021-03 – 2023-05 · 2y 2mo — I'm writing articles about ML/DS.
  9. Job: ASM Assembly Systems — Junior Data Scientist · 2021-07 – 2022-07 · 1y — - Developed a proof of concept (PoC) for a predictive maintenance solution. Personally designed and mounted sensors on machinery, managed data collection, storage, and preprocessing, and built a machine-learning model. The project was later transitioned to the research team for further development. - Collaborated with production line workers to develop a web application for real-time data collection from production machines. The application stored data in an SQL database, providing status updates and detailed machine information.
  10. School: De Montfort University — Bachelor's degree, Mechanical Engineering · 2019-10 – 2023-06
  11. School: Politechnika Warszawska — Mechatronika, robotyka i automatyka · 2018-10 – present

Skills

Deep LearningMLOpsData SciencePytorchMonitoring ML modelsNLPComputer Visionpython

No playbooks indexed for this profile yet.