Suresh choudhary — AI Researcher
Results-oriented AI/ML Engineer and Data Scientist with global experience delivering machine learning and generative AI solutions across industries including risk modelling, fraud detection and customer behavioural modelling. I specialize in: - LLM fine-tuning (BERT, GPT-2) and RAG pipelines - YOLOv11 object detection and transformer-based vision models - End-to-end MLOps, cloud deployments (GCP, AWS, Azure) and real-time pipelines using Spark, MLflow, Airflow, Docker I’ve contributed to cutting-edge academic and applied AI research in Germany, including cow pain detection, poultry behavior analysis, and LLM optimization for NLP tasks. 👥 I’ve led cross-functional teams, mentored junior ML engineers, and collaborated with stakeholders to turn business needs into scalable data solutions. 🌍 Actively seeking full-time AI/ML roles in Germany, especially in companies driving innovation in GenAI, ML productization, and AI infrastructure. 🔗 GitHub: github.com/sureshkuc 📍 Based in Berlin | German: B2 | English: C1 Erfahrener Data Scientist und KI/ML-Ingenieur mit über 6 Jahren Berufserfahrung, spezialisiert auf Generative KI (LLMs, RAG), MLOps, sowie Cloud-gestützte ML-Lösungen (GCP, AWS, Azure). Besondere Kompetenzen: - Feintuning von BERT, GPT-2, und RAG-Pipelines - Vision-Modelle wie YOLOv11, ResNet, EfficientNet - Deployment mit Spark, Airflow, Docker, MLflow Ich schließe derzeit meinen studuim an der Freien Universität Berlin (Note: 1,3 sehr gut) ab und habe an innovativen KI-Forschungsprojekten wie Kuh-Schmerzerkennung, Verhaltensanalyse bei Geflügel, sowie LLM-Optimierung mitgewirkt. 💼 Ich suche eine Vollzeitstelle in Deutschland im Bereich KI/ML, vorzugsweise mit Fokus auf Generative AI, produktionsreife Machine-Learning-Systeme oder AI-Infrastruktur. 📍Wohnort: Berlin | Deutsch: B2, Englisch: C1 🔗 GitHub: github.com/sureshkuc
Stackforce AI infers this person is a Data Scientist specializing in AI/ML solutions for Healthcare and Fintech industries.
Location: Berlin, Berlin, Germany
Experience: 10 yrs 8 mos
Skills
- Retrieval-augmented Generation (rag)
- Large Language Models (llm)
- Large Language Model Operations (llmops)
- Generative Ai
- Computer Vision
- Machine Learning
- Proteomics
- Fraud Detection
- Artificial Intelligence (ai)
Career Highlights
- Expert in LLM fine-tuning and generative AI solutions.
- Proven track record in MLOps and cloud deployments.
- Led cross-functional teams to deliver scalable data solutions.
Work Experience
Squash Facilities Network (SFN) & Semiconductor Facility
Senior AI / LLM Engineer (7 mos)
PreOmics
PreOmics (9 mos)
Freie Universität Berlin
KI/ML (LLM) Schwerpunkt (4 yrs 6 mos)
HawksCode
Data Scientist (1 yr)
Data Scientist (1 yr 6 mos)
Central University Of Rajasthan
Data Consultant ( Asst. prof.) (1 yr 2 mos)
Applied Data Finance
Data Scientist, R&D (1 yr 6 mos)
Burning Glass Technologies
Advanced Software Engineer(Data Scientist) (1 yr)
Education
Data Science at Freie Universität Berlin
Master of Technology at Indian Institute of Technology, Kanpur
