Muhammad Iqbal

AI Researcher

Lahore, Punjab, Pakistan3 yrs 8 mos experience
Most Likely To SwitchAI Enabled

Key Highlights

  • Led 10+ ML projects from POC to production.
  • Deployed LLM-powered chatbot for 5K+ daily users.
  • Architected cloud ML infrastructure handling 1M+ predictions/day.
Stackforce AI infers this person is a Senior ML Engineer specializing in MLOps and Generative AI for SaaS applications.

Contact

Skills

Core Skills

MlopsGenerative AiMachine LearningResearchData Engineering

Other Skills

PythonPyTorchTensorFlowMLflowDockerKubernetesAirflowLangChainHugging FaceOpenAIAWSGCPGitHub ActionsPrometheusGrafana

About

I help companies deploy production-ready AI systems that scale. From research prototypes to enterprise-grade ML platforms, I bridge the gap between cutting-edge AI and real-world business impact. WHAT I DO BEST: - MLOps & Production ML – Design and deploy end-to-end ML pipelines using Kubernetes, Docker, Airflow, and cloud-native tools (AWS/GCP) - Generative AI – Build and fine-tune LLMs, diffusion models, and RAG systems (GPT, LLaMA, Stable Diffusion). Deploy with LangChain, vector databases, and prompt engineering - Model Development – Train, optimize, and deploy models using PyTorch, TensorFlow, Scikit-learn. Experience with NLP, Computer Vision, and time-series forecasting - Data Engineering – Build scalable data pipelines, feature stores, and real-time inference systems handling millions of requests - Leadership – Led 10+ end-to-end ML projects from POC to production, working with cross-functional teams and stakeholders RECENT IMPACT: - Deployed LLM-powered chatbot serving 5K+ daily users with <200ms latency - Built MLOps pipeline reducing model deployment time from weeks to hours - Implemented monitoring systems improving model accuracy by 23% through automated retraining - Architected cloud ML infrastructure handling 1M+ predictions/day while reducing costs 40% TECHNICAL STACK: Languages: Python, SQL, Bash ML/DL: PyTorch, TensorFlow, Scikit-learn, Hugging Face, LangChain MLOps: Kubernetes, Docker, MLflow, Airflow, CI/CD (GitHub Actions) Cloud: AWS (SageMaker, Lambda, EC2), GCP, Azure Databases: PostgreSQL, MongoDB, Redis, Pinecone, Weaviate GenAI: OpenAI API, LLaMA, RAG, Vector Databases, Fine-tuning AVAILABILITY: - Remote contract work (worldwide) - Freelance projects & consulting - Part-time or full-time engagements - Immediate availability Open to discussing opportunities in ML Engineering, MLOps, Generative AI, and AI consulting. DM me to explore how I can help your team. #MachineLearning #MLOps #GenerativeAI #RemoteWork #AIEngineering #Python #LLMs

Experience

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

Devsinc

Senior Machine Learning Engineer

Aug 2023Present · 2 yrs 9 mos · Lahore, Punjab, Pakistan · Remote

  • As a Senior ML Engineer, I lead the development and deployment of scalable machine learning solutions with a focus on MLOps, model lifecycle automation, and Generative AI integration.
  • Key Contributions:
  • Designed and deployed end-to-end ML pipelines using MLflow, Airflow, and Kubeflow, enabling reproducible experimentation and faster deployment cycles
  • Spearheaded LLMOps initiatives, deploying and monitoring LLM-based applications using OpenAI APIs, Hugging Face Transformers, and LangChain
  • Built custom CI/CD pipelines for ML models using GitHub Actions and Docker, reducing model deployment time by 40%
  • Developed scalable, cloud-native ML infrastructure on AWS/GCP, integrating with SageMaker, Vertex AI, and Kubernetes
  • Automated data ingestion and preprocessing workflows for real-time inference using Kafka, Spark, and Feature Stores (Feast)
  • Led the implementation of model monitoring and alerting systems (drift detection, data quality) using Evidently, Prometheus, and Grafana
  • Collaborated with fellow teams (data engineers, product managers, DevOps) to align ML solutions with business needs
  • Mentored junior ML engineers and conducted internal workshops on MLOps best practices and GenAI tooling
  • Tools & Tech:
  • Python, PyTorch, TensorFlow, MLflow, Docker, Kubernetes, Airflow, LangChain, Hugging Face, OpenAI, AWS, GCP, GitHub Actions, Prometheus, Grafana, Kafka, Spark
PythonPyTorchTensorFlowMLflowDockerKubernetes+13

Upwork

Consultant

Aug 2023Present · 2 yrs 9 mos · Lahore, Punjab, Pakistan · Remote

  • Providing end to end machine learning and MLOps consulting services to startups and enterprises across fintech, healthcare, e-commerce and education.

Al-khawarizmi institute of computer science (kics), uet lahore

Machine Learning Researcher

Jul 2021Jun 2022 · 11 mos · Lahore, Punjab, Pakistan · On-site

  • Worked as part of a research and development team focused on experimental applications of machine learning and deep learning models. Contributed to prototyping and evaluating novel architectures, preprocessing pipelines, and model training strategies.
  • Key Contributions:
  • Conducted experiments with CNNs, RNNs, and Transformer-based models on tasks including text classification, image recognition, and sequence modeling
  • Preprocessed and analyzed large datasets using Pandas, NumPy, scikit-learn, and OpenCV
  • Implemented and fine-tuned models using TensorFlow, Keras, and PyTorch, achieving X% improvement over baseline accuracy (if available)
  • Performed hyperparameter tuning and model evaluation using cross-validation, confusion matrices, and AUC/ROC
  • Collaborated with senior researchers to publish findings in internal whitepapers or academic settings
  • Created reproducible experiments using Jupyter Notebooks, version control with Git, and tracked experiments using Weights & Biases or MLflow
  • Gained foundational exposure to MLOps practices, including model versioning and lightweight deployment with Flask/FastAPI
  • Tools & Tech: Python, PyTorch, TensorFlow, Keras, scikit-learn, NumPy, Jupyter, Git, MLflow, OpenCV
PythonPyTorchTensorFlowKerasscikit-learnNumPy+6

Education

The University of Lahore

Bachelor's degree — Computer Science

Feb 2018Dec 2021

Stackforce found 100+ more professionals with Mlops & Generative Ai

Explore similar profiles based on matching skills and experience