Muhammad Iqbal — AI Researcher
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
Stackforce AI infers this person is a Senior ML Engineer specializing in MLOps and Generative AI for SaaS applications.
Location: Lahore, Punjab, Pakistan
Experience: 3 yrs 8 mos
Skills
- Mlops
- Generative Ai
- Machine Learning
- Research
- Data Engineering
Career 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.
Work Experience
Devsinc
Senior Machine Learning Engineer (2 yrs 9 mos)
Upwork
Consultant (2 yrs 9 mos)
Al-Khawarizmi Institute of Computer Science (KICS), UET Lahore
Machine Learning Researcher (11 mos)
Education
Bachelor's degree at The University of Lahore