Jayesh Mahapatra
Senior AI Developer at Salling Group
Aarhus, Central Denmark Region, Denmark
Summary
👤
Senior🎓
Top SchoolJayesh Mahapatra is a Senior AI Developer with 10 years of experience building end-to-end ML systems, from data collection and model training to scalable deployment. He combines strong academic credentials (IMPRS-CS scholarship, M.Sc. from Universität des Saarlandes) with hands-on industry impact across AdTech, eKYC, retail analytics and research labs including CERN and Aalto. Notable achievements include boosting an ad generator’s success rate to 100% using OpenAI structured output, a 6% AUC improvement and 2x inference speedup for identity verification models, and productionizing ML services on Triton and FastAPI. He is experienced in MLOps, mobile inference, and leading agile ML sprints while mentoring junior engineers. Based in Aarhus, he brings a research-minded approach to practical engineering, often bridging novel academic methods (BERT, CNNs, time-series autoencoders) with production constraints.
10 years of coding experience
5 years of employment as a software developer
Bachelor’s Degree, Computer Science and Engineering, 8.62/10, Bachelor’s Degree, Computer Science and Engineering, 8.62/10 at Veer Surendra Sai University Of Technology ( Formerly UCE ), BurlaMaster of Science - MS, Computer Science, 1.6 (German Grading System), Master of Science - MS, Computer Science, 1.6 (German Grading System) at Universität des Saarlandes
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (14)
google-ml-kit9
android-app5
docker5
fastapi4
machine-learning4
ocr3
face-detection3
mlmodel3
react-native2
whisper1
grayscale1
generative-adversarial-network1
huggingface1
arcface1
Programming languages (4)
Github contributions (5)
jayeshmahapatra/Shoot-Me-Some-Bugs
Nov 2021 - Nov 2021
Contributions:6 commits, 15 pushes, 1 branch in 20 days
jayeshmahapatra/triton-fastapi-docker
May 2023 - Jun 2026
A repository demonstrating deploying ML models using Triton + FastAPI + Docker
Contributions:2 PRs, 21 pushes, 2 branches in 3 years
dockerfastapimlmodelmachine-learningnvidia-triton
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