Aaqib

Sr. Data Scientist

ubldigital • Temps plein

Jul 2025 - Present • 1 yr 1 mo

-> Built LLM-powered and RAG-enhanced knowledge assistants in Python to support Internal Audit with policy search, regulatory guidance, document retrieval, and process automation. ->Designed AI-driven workflows for audit knowledge management using LangChain, embeddings, semantic search, and structured prompt pipelines. ->Developed automation solutions for audit planning, execution, and reporting, reducing manual Excel-based consolidation and improving data accuracy. -> Built data pipelines to process audit-related datasets, transform raw data, and generate consolidated analytics for management reporting. -> Automated workflows using n8n for data ingestion, transformation, categorization, and AI-assisted analysis. -> Worked on audit analytics solutions involving branch-level risk assessment, budget tracking, resource planning, and productivity monitoring. -> Created AI and automation proposals for internal audit transformation, including regulatory knowledge assistants, policy chatbots, attendance tracking, expense monitoring, and continuous audit monitoring. -> Applied SQL and Python to manage, query, clean, and analyze large datasets for audit analytics and operational reporting.

Data Scientist

Huawei • Temps plein

Jun 2024 - Jun 2025 • 1 yr

-> Analyzed Hadoop cluster data using SQL to extract insights related to network KPIs and KQIs. -> Used Spark for large-scale data processing, transformation, and performance analytics. -> Performed user-level and network-level analysis to identify performance issues, congestion points, and service quality gaps. -> Supported reporting and analytics for network optimization, customer experience improvement, and operational decision-making. -> Assisted in identifying congestion areas and recommended network expansions based on data-driven analysis. -> Worked with large-scale structured datasets to generate performance insights and support business and technical teams.

Jr. Software Engineer

Zortik Technologies • Temps plein

Nov 2022 - Jun 2024 • 1 yr 7 mos

-> Worked on Azure Cosmos DB management, data manipulation, and backend data operations. -> Developed Ansible playbooks to automate infrastructure provisioning and resource configuration across data centers. -> Built and maintained ELK Stack dashboards using Elasticsearch, Logstash, and Kibana for KPI monitoring and operational visibility. -> Performed data analysis and processing using Python and R. -> Implemented web scraping pipelines and integrated scraped data into LangChain-based LLM workflows. -> Worked on EventGPT-style LLM applications using LangChain and OpenAI APIs for intelligent event-based information processing. -> Designed and deployed multi-agent AI systems using CrewAI and Ollama for workflow automation and content generation. -> Worked with Kubernetes pods, Downward API, and container-level metadata extraction. -> Worked on Terraform-based infrastructure automation and deployment workflows. -> Explored Dynamo-style LLM infrastructure concepts including KV-cache-aware routing, gateway-level request routing, request-aware routing, and inference optimization strategies. -> Gained hands-on experience with Docker, Kubernetes, Ansible, Terraform, and cloud-native automation patterns.