Maryam Bahrami

Product Manager

Munich, Bavaria, Germany9 yrs 10 mos experience
Most Likely To SwitchAI Enabled

Key Highlights

  • Expert in developing Generative AI and Computer Vision solutions.
  • Proficient in end-to-end LLM solutions and RAG systems.
  • Strong background in Machine Learning and Deep Learning methodologies.
Stackforce AI infers this person is a Machine Learning Engineer specializing in Generative AI and Computer Vision solutions.

Contact

Skills

Core Skills

Generative AiAgentic AiLarge Language Models (llm)Machine LearningComputer VisionDeep Learning

Other Skills

Python (Programming Language)Retrieval-Augmented Generation (RAG)LanggraphMicrosoft AzureOpenAI APIScikit-LearnTensorFlowObject DetectionPyTorchKerasTorchvisionPrompt EngineeringMaster Data ManagementSQLC++

About

I’m a Machine Learning Engineer at Accenture, building Computer Vision and Generative AI solutions. On LinkedIn, I share about: - AI, Generative AI & Agentic AI - Key AI books & learning resources - Hands-on projects & GitHub experiments Follow me for practical ideas and inspiration on the future of AI.

Experience

9 yrs 10 mos
Total Experience
1 yr 5 mos
Average Tenure
3 yrs 8 mos
Current Experience

Accenture

3 roles

Senior LLM Full Stack Developer

Promoted

Nov 2025Present · 6 mos

  • Architect end-to-end LLM solutions across data, orchestration, and deployment
  • Design and implement advanced RAG systems and AI assistant workflows
  • Integrate LLM capabilities with APIs, databases, and full-stack infrastructure
  • Build Agentic AI workflows with CrewAI, AutoGen, and LangGraph
  • Deploy and optimize solutions on Azure and AWS
  • Monitor, trace, and evaluate AI systems using Langfuse
  • Drive performance, reliability, and cost optimization across AI systems
  • Collaborate with cross-functional teams to deliver AI-driven product features
Python (Programming Language)Retrieval-Augmented Generation (RAG)Generative AIAgentic AILanggraph

LLM Full Stack Developer

Feb 2024Present · 2 yrs 3 mos

  • Design and develop production-ready Generative AI applications
  • Develop end-to-end LLM solutions from data to deployment
  • Create RAG systems, chatbots, and AI assistant tools
  • Build Agentic AI workflows with CrewAI, AutoGen, and LangGraph
  • Integrate LLM systems with APIs, databases, and vector stores
  • Deploy and optimize solutions on Azure and AWS
  • Monitor, trace, and evaluate AI systems using Langfuse
  • Collaborate with cross-functional teams to deliver AI-driven product features
Python (Programming Language)Microsoft AzureOpenAI APILarge Language Models (LLM)Retrieval-Augmented Generation (RAG)Generative AI

Machine Learning Engineer

Sep 2022Present · 3 yrs 8 mos

  • Develop computer vision solutions with a focus on object detection
  • Built custom and out-of-the-box detection models using Detectron2 and PyTorch
  • Design few-shot learning pipelines to enable rapid model adaptation with limited data
  • Optimize model performance through data augmentation, transfer learning, and fine-tuning
  • Implement deep learning models for time-series forecasting and predictive analytics
  • Integrated ML models into production-ready AI applications and tools
  • Collaborated closely with engineering teams to deploy scalable, high-accuracy ML systems
Machine LearningScikit-LearnComputer VisionGenerative AILarge Language Models (LLM)Python (Programming Language)+8

Topseven

Machine Learning Engineer

May 2021Sep 2022 · 1 yr 4 mos · Starnberg, Bavaria, Germany

  • Developing algorithms, programs, documents, tests
  • Machine Learning Pipeline Architecture Deployment
  • Optimizing software, scripts or algorithms
  • Implementing customer-related solutions in close cooperation with the product manager
  • Programming scripts for new product and services
  • Analyzing and evaluating measurement data
Machine LearningSQLC++QtDeep LearningTensorFlow+4

Aioneers

Data Scientist

Nov 2020Apr 2021 · 5 mos · Mannheim, Baden-Württemberg, Germany

  • Selecting features and forecasting demands using machine learning techniques
  • Developing algorithm for supply chain management concepts to make it automatic
  • Processing, cleansing, and verifying the integrity of data used for analysis
  • Presenting demo cases for developed algorithms and ideas
Machine LearningMaster Data ManagementPython (Programming Language)

Bosch center for artificial intelligence (bcai)

Master Thesis Project

Feb 2020Sep 2020 · 7 mos · Renningen, Baden-Württemberg, Germany

  • Research on Constrained Optimization of Machine Learning Algorithm
  • Develop Safe Classification algorithm with Gradient Boosted Trees
  • Write a Python Library for Constrained Optimization of Gradient Boosting
  • Apply Constrained Optimization of Neural Networks (CNN and LSTM) on manufacturing quality control datasets (Tensorflow and Keras)
  • Write the report of the results
Machine LearningDeep LearningTensorFlowKerasPython (Programming Language)

Bosch rexroth

Machine Learning Intern

Jul 2019Dec 2019 · 5 mos · Lohr, Bavaria, Germany

  • Research on Safe Bayesian Optimization
  • Accelerate the state of the art method for online learning
  • Develop an algorithm for Safe Bayesian Optimization with Local Gaussian Process
  • Create internal toolbox for the developed algorithm in Python
  • Write the report of the results
Machine LearningPython (Programming Language)

Science observatory data mining

Chairman of the Board

Oct 2016Nov 2017 · 1 yr 1 mo · Tehran Province, Iran

  • Science Observatory Data Mining is a company with following activities:
  • 1- Business Analysis
  • 2- Data Analysis
  • 3- Statistical Consultant
  • 4- Data Mining
Python (Programming Language)

Eshragh statistical analysis techniques

Business Analyst

Aug 2013Feb 2016 · 2 yrs 6 mos · Zanjan Province, Iran

  • Determining project requirement from users
  • Predicting, brainstorming and considering likely requirement of future
  • Constraining, managing and organizing core business requirements
  • identifying and evaluating inefficiencies and recommending optimal business practices, and system functionality and behavior
  • Analyzing and modeling tools to match strategic business objectives with practical technical solutions
  • Modelling data in order to develop business system, functional solutions developments
  • Conducting, guiding and assisting system to making better decision, and to determine when deactivation or replacement is required
Python (Programming Language)

Allameh tabatabai university

Teacher Assistant

May 2013Jan 2014 · 8 mos · Iran-Tehran

  • Part-Time
  • Teacher assistant in Time Series classes at Allameh Tabatabai University for AUTOBOX software.
Python (Programming Language)

Education

Stiftung Universität Hildesheim

Data Analytics — Data Science

Jan 2017Jan 2020

Allameh Tabataba'i University

Master's Degree — Mathematics and Statistics

Jan 2011Jan 2013

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