I am Sarthak, a Master’s student in Artificial Intelligence based in Cottbus, Germany. I am looking for flexible part-time, working-student, and odd jobs such as warehouse work, delivery, retail support, hospitality, cleaning, event support, office assistance, or general help. I am reliable, punctual, physically fit, and comfortable learning new tasks quickly. I also have strong computer and technical skills, including Python, software tools, data entry, basic IT support, and automation, so I can also help with digital or office-related tasks. I speak English fluently and am actively improving my German.
A1–A2: Grundkenntnisse · B1–B2: selbstständige Sprachverwendung · C1–C2: kompetente Sprachverwendung. „Muttersprache“ ist eine eigene Profilangabe und kein CEFR-Niveau. Alle Einstufungen stammen aus dem Profil.
Was Sarthak auszeichnet
Persönlich
Aktive ReflexionsfähigkeitAnpassungsfähigkeitAuthentiziätBegeisterungsfähigkeitBereitschaft zur WeiterentwicklungDurchhaltevermögenEhrlichkeitEmpathieFlexibilitätGeduldGenauigkeitLernbereitschaftOffenheitSelbstmotivationRisikobereitschaftSchnelle AuffassungsgabeTranparenzZuverlässigkeitZielverwirklichungZeitmanagementVernetztes DenkenSicherheitSelbständigkeitMenschenkenntnis
Analytisches DenkenBelastbarkeitAusdauerDisziplinEffizienzErgebnisorientierungGutes ZeitmanagementFolgebewusstseinLiebe zum DetailOrganisationstalentProblemlösungskompetenzProzessoptimierungSorgfaltZielorientierungVisionäres DenkenVorausschauendes HandelnVerantwortungsbewusstseinUmsetzungskraftÜberblick bewahrenStrukturierte ArbeitsweiseSpontanitätStrategisches Vorgehen
Bildungsweg
2 Stationen
04/2024 – Present
M.Sc. Artificial Intelligence (Research-Oriented)
Brandenburg University of Technology (BTU), Cottbus, Germany
Details ansehen ⌄
Modules: Computer Vision · Explainable ML · Causal Data Science · Neural Signal Analysis · Languages of AI · Information
Retrieval · Seminar: FER with Deep Learning — Former-DEER (CS-Former, T-Former; benchmarked vs. MAE-DFER, DFER-
CLIP, MMA-DFER). Research: Analysed Hard-Margin SVM theory—derived KKT conditions, visualised margin geometry, and
Evaluated multiclass strategies (Crammer–Singer, OvR/OVO implementations).
07/2017 – 06/2021
B. Tech. Computer Science & Engineering
SRM Institute of Science and Technology, India Grade: First Class
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I am Sarthak, a Master’s student in Artificial Intelligence based in Cottbus, Germany. I am looking for flexible part-time, working-student, and odd jobs such as warehouse work, delivery, retail support, hospitality, cleaning, event support, office assistance, or general help. I am reliable, punctual, physically fit, and comfortable learning new tasks quickly. I also have strong computer and technical skills, including Python, software tools, data entry, basic IT support, and automation, so I can also help with digital or office-related tasks. I speak English fluently and am actively improving my German.
Brandenburg University of Technology (BTU), Cottbus, Germany
Modules: Computer Vision · Explainable ML · Causal Data Science · Neural Signal Analysis · Languages of AI · Information
Retrieval · Seminar: FER with Deep Learning — Former-DEER (CS-Former, T-Former; benchmarked vs. MAE-DFER, DFER-
CLIP, MMA-DFER). Research: Analysed Hard-Margin SVM theory—derived KKT conditions, visualised margin geometry, and
Evaluated multiclass strategies (Crammer–Singer, OvR/OVO implementations).
B
B. Tech. Computer Science & Engineering07/2017 – 06/2021
SRM Institute of Science and Technology, India Grade: First Class
