Malik Ayyan
@malikayyan
Senior Machine Learning engineer specializing in scalable NLP and production ML systems.
What I'm looking for
I am a Senior Machine Learning Engineer with over 10 years of experience designing and deploying enterprise-grade AI and ML systems across NLP, computer vision, LLMs, and time-series forecasting. I build production-ready pipelines with MLOps, model governance, and cloud-native architectures, leveraging tools such as MLflow, Kubernetes, Docker, and Vertex AI to deliver measurable ROI and operational efficiency.
I've led projects that include document intelligence, GPT-4 powered chatbots with RAG and FAISS, large-scale inference with RayServe, and computer vision solutions using YOLOv8 and TensorRT, consistently reducing manual effort, speeding deployments, and saving substantial costs for business stakeholders.
Experience
Work history, roles, and key accomplishments
Senior Machine Learning Engineer
Replicant AI
Jul 2022 - Present (3 years 2 months)
Led deployment of a document intelligence system using BERT and LangChain, automating insurance workflows and saving over 1,000 manual hours annually; built a GPT-4 RAG chatbot and MLOps pipelines that reduced deployment cycle from weeks to under five days.
Built personalized recommendation and sentiment-analysis systems processing millions of conversations, containerized ML models for multicloud deployment, and automated ETL and serving pipelines to increase engagement and operational reliability.
AI Research Scientist
Wrench.ai
Sep 2016 - Aug 2018 (1 year 11 months)
Researched reinforcement learning for adaptive pricing and developed predictive financial models (LSTM, Prophet) that reduced forecasting error; led training infrastructure deployments on AWS and Vertex AI for >100GB datasets.
Education
Degrees, certifications, and relevant coursework
COMSATS University Islamabad
Bachelor of Technology, Computer Engineering
2010 - 2014
Completed a Bachelor of Technology in Computer Engineering with coursework in algorithms, systems, and machine learning from 2010 to 2014.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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