freiberufler Agentic AI  Engineer | Gen AI Engineer | ML Engineer | Data Engineer auf freelance.de

Agentic AI Engineer | Gen AI Engineer | ML Engineer | Data Engineer

zuletzt online vor 1 Tagen
  • auf Anfrage
  • 10713 Berlin
  • Europa
  • ur  |  en  |  de
  • 12.03.2025

Kurzvorstellung

Highly motivated Agentic AI and Generative AI Engineer with 4+ years of experience in developing and deploying LLM-powered solutions and 12+ years of software development expertise.

Qualifikationen

  • Generative AI Engineer
  • Machine Learning Engineer2 J.
  • Solution Architekt16 J.

Projekt‐ & Berufserfahrung

Gen AI Engineer (Festanstellung)
Kundenname anonymisiert, Berlin
12/2022 – offen (2 Jahre, 4 Monate)
Banken
Tätigkeitszeitraum

12/2022 – offen

Tätigkeitsbeschreibung

Designed, constructed, and deployed AI agents for client interactions, providing accurate financial information
and personalized responses.
● Implemented AI-driven risk management processes, analyzing large datasets to identify potential risks and
opportunities.
● Developed AI-powered systems for automated financial document processing, achieving 97% accuracy.
● Utilized Generative AI tools to assist developers in code writing, debugging, and documentation.
● Implemented Retrieval Augmented Generation (RAG) to improve the quality of chatbot responses.
● Integrated external tools with AI agents to enhance functionality.
● Developed client briefing generators using LLMs.
● Implemented autonomous AI agents for regulatory compliance monitoring and reporting.
● Worked with large language models to improve customer satisfaction.

Eingesetzte Qualifikationen

Lead Developer

Machine Learning Engineer
Kundenname anonymisiert, Munich
12/2021 – 12/2022 (1 Jahr, 1 Monat)
Banken
Tätigkeitszeitraum

12/2021 – 12/2022

Tätigkeitsbeschreibung

Developed and deployed fraud detection models on Vertex AI, reducing false positives by 20% and safeguarding
transactions worth $50M.
● Implemented scalable ML pipelines for real-time fraud detection across 1M+ daily transactions.
● Fine-tuned machine learning and deep learning models using hyperparameter tuning and cross-validation,
ensuring high accuracy and effectiveness.
● Implemented MLOps practices to automate model deployment, monitoring, and retraining within GCP.

Eingesetzte Qualifikationen

Machine Learning Engineer

Machine Learning Engineer
Kundenname anonymisiert, Munich
12/2020 – 12/2021 (1 Jahr, 1 Monat)
Telekommunikation
Tätigkeitszeitraum

12/2020 – 12/2021

Tätigkeitsbeschreibung

Engineered and deployed machine learning models to predict customer churn, achieving 85% accuracy.
● Utilized logistic regression, decision trees, random forests, and gradient boosting for churn prediction.
● Developed and engineered features from customer data sources, including behavioral patterns and usage
metrics.
● Leveraged Vertex AI and BigQuery for model training and data analysis.
● Implemented MLOps practices for automation.
● Enabled targeted customer retention campaigns, reducing churn by 15%.

Eingesetzte Qualifikationen

Machine Learning Engineer

Solution Architect
Kundenname anonymisiert, Bangalore
12/2004 – 7/2021 (16 Jahre, 8 Monate)
IT & Entwicklung
Tätigkeitszeitraum

12/2004 – 7/2021

Tätigkeitsbeschreibung

Designed scalable microservices using Spring Boot and Kubernetes for enterprise clients.
● Built REST APIs integrated with Kafka, improving system response times by 40%.
● Developed and documented REST APIs using Swagger and ReadyAPI.
● Implemented OAuth2 for secure authentication and authorization.
● Deployed and managed microservices on AWS and GCP using Terraform.
● Automated CI/CD pipelines, reducing build times by 20%.
● Implemented monitoring and observability solutions using Prometheus, Grafana, and Splunk.
● Coordinated release management and deployment activities.
● Developed database layers using JPA, Hibernate, Oracle, and MySQL.

Eingesetzte Qualifikationen

Solution Architekt

Ausbildung

Master Of Computer Applications
Masters
Osmania University
2003
India

Über mich

In the realm of Generative AI, I have spearheaded the integration of advanced LLM solutions into company products, significantly enhancing AI capabilities and user experience. I am skilled in synthesizing training data, language modeling, and instruction fine-tuning. Additionally, I have hands-on experience with Chroma vector databases and Multimodal RAG.

My technical toolkit includes MLflow for experiment tracking, and CI/CD pipelines for efficient AI deployments. I am proficient in containerization and orchestration using Docker, Kubernetes, and Helm, with a strong focus on scalability, resource management, and automation of ML workflows using Kubeflow.

Furthermore, I have a solid understanding of software development methodologies, particularly Agile and Scrum, and I am well-versed in monitoring and alerting tools like the Elastic Stack, Prometheus, and Grafana.

Weitere Kenntnisse

Key Expertise:
Agentic AI: LangChain, CrewAI, LangGraph, LangSmith, Auto-GPT, BabyAGI, Planning Algorithms, Tool Integration, Memory Management
Large Language Models (LLMs): GPT-4o, Claude 3.5 Sonnet, Gemini, Flan-T5, LLaMA, Gemma, BERT
Generative AI Techniques: LoRA, RLHF, Instruction Fine-Tuning, Prompt Engineering (Few-Shot Prompting, In-Context Learning, Self-Consistency)
Machine Learning (ML): Scikit-learn, PyTorch, Hugging Face
Retrieval Augmented Generation (RAG): Chroma, LangChain
MLOps: MLflow, Docker, Kubernetes, Helm, Kubeflow, CI/CD Pipelines
Cloud Computing (GCP): Vertex AI, BigQuery

DevOps: Terraform, Prometheus, Grafana, Splunk
Agile & Scrum: Project Management, Agile Methodologies
Experimentation & CI/CD: MLflow, Agile/Scrum methodologies
Monitoring & Alerting: Elastic Stack, Prometheus, Grafana
Software Development: Python, Java, Spring Boot, Microservices, REST APIs, Kafka, Graph Databases, Swagger, ReadyAPI, OAuth2

Persönliche Daten

Sprache
  • Englisch (Fließend)
  • Deutsch (Grundkenntnisse)
  • Urdu (Muttersprache)
Reisebereitschaft
Europa
Arbeitserlaubnis
  • Europäische Union
Profilaufrufe
23
Alter
45
Berufserfahrung
2 Jahre und 3 Monate (seit 12/2022)

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