Available to hire
Hi, I’m Sillah Babar, a machine learning engineer and data engineer with a passion for turning messy data into actionable insights. I’ve built scalable AI pipelines, implemented data validation, and designed knowledge systems to enable smarter decisions across sales, product, and customer support. I thrive in collaborative environments and enjoy translating complex technical problems into practical solutions using Python, C++, ML frameworks, and cloud services. In my free time I write tech articles and explore the intersection of AI with everyday workflows.
Skills
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Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Language
English
Fluent
Urdu
Advanced
Work Experience
Machine Learning Engineer / Data Engineer at CIVIC IQ
August 1, 2025 - August 1, 2025Deployed Kestra as a pipeline orchestrator on a Kubernetes cluster, configured fault-tolerant data extraction jobs on pre-emptible pods, and integrated Pub/Sub for asynchronous messaging. Built scalable AI pipelines using embeddings for vendor and product recommendations, developed a ChatGPT deep search connector, and led development of internal tools to generate RFP signals and automate sales outreach. Created AI-driven features for leads recommendations, built data pipelines using GPT-4.1, Claude, and DeepSeek to extract structured data from spend reports, and fine-tuned LLMs for domain-specific extraction tasks. Implemented CI/CD with Grafana dashboards and designed a graph-based knowledge system for semantic document retrieval.
Machine Learning Engineer at Maanz AI
January 1, 2025 - January 1, 2025Led development of an internal tool to track sequence complexity, annotation counts, and QA performance for a team of 200 annotators. Extracted data and KPI metrics in C++ for model evaluation in autonomous driving projects for Audi AG, Cariad and AAI. Supported annotation spec improvements and applied AI techniques such as the Hungarian algorithm for assignment tasks. Maintained Python post-processing pipelines for LiDAR data processing and assisted cloud migration to AWS with Kubernetes, job DSLs, and Jenkins for 120+ pipelines.
AI Software Developer at Hais.ai
May 1, 2024 - May 1, 2024Developed chatbots using LangChain and RAG, deployed across Cloud Run and VM. Built customer support bots for banking and a medical device regulatory chatbot, and implemented MLOps practices for data versioning with DVC and MLflow. Implemented CI/CD with Docker and Jenkins.
Data Science Intern at Foretheta
June 1, 2023 - June 1, 2023Trained models such as DOC2VEC; applied MLOps using DVC for data versioning, built CI/CD pipelines, and deployed a Flask app to AWS EC2/Elastic Beanstalk via AWS CodePipeline.
ML and Computer Vision Intern (Healthcare) at DataInsight Lab Fast
August 1, 2022 - August 1, 2022Gained experience with YOLO variants on hospital prescriptions, performing text extraction and organization; deployed the application with Flask and developed foundational skills in pandas, PyTorch, matplotlib, and core DL concepts.
Education
Master of Science in Computer Science and Engineering at University of Oulu, Finland
January 1, 2025 - November 27, 2025Bachelor of Computer Science at FAST NUCES
January 1, 2019 - December 31, 2023A-Levels at Beacon House Margalla Campus
January 1, 2018 - December 31, 2019Qualifications
Machine Learning A-Z™
January 1, 2023 - November 27, 2025Transformers in Computer Vision
January 1, 2023 - November 27, 2025Generative AI (English Version): Unleashing Next-Gen AI
January 1, 2023 - November 27, 2025IELTS
January 1, 2023 - November 27, 2025Industry Experience
Software & Internet, Healthcare, Education, Professional Services, Life Sciences
Skills
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Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
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