Shahidullah Kawsar
Senior Data Scientist | 5x AWS Certified | Machine Learning Engineer | I have built an AutoML for the US Department of Energy
- Role
- Ai Operations Manager at Idare
- Location
- San Francisco, CA, US
- LinkedIn followers
- 500 followers
About Shahidullah Kawsar
Green Card holder | Houston, TX | Open to relocate Looking for a full-time position as…
Experience
Ai Operations Manager
Apr 2020 — Present · Houston, TX, US
Project 1: AWS cloud-based IDARE Automated Machine Learning web application (IdareAI)• Leading a cross-functional team to create an AI-based solution builder tool and perform predictive analytics.• Built pipelines to Extract, Transform, and Load (ETL) big data from different sources and production-ready end-to-end ML pipelines using Pandas, Scikit-Learn, and PyTorch.• Reduced project delivery time from 12 weeks to 4 weeks through automation.• Providing active support and online training to 500 subscribers• Award: Received an innovation research grant of from the US Department of Energy (DoE).Project 2: Visualization and Streaming Sensor Data in Dashboards• Led the development of an AWS cloud-based custom dashboard application using MS SQL Server, MongoDB, Pandas, and Plotly to visualize complex data from IoT sensors.• Implemented ETL pipelines, interactive data filtering, and drill-down features, designed the user interface, enhancing user engagement, facilitating more in-depth analysis, dynamic reporting, and generating $1M/year in revenue.Project 3: Work Assistant ChatBot (LLM, RAG, and Fine-tuning) using OpenAI and Llama• Integrated QdrantDB as a vector database for context-aware retrieval from documents.• Built an intelligent search system for tabular data across S3, Postgres, and MongoDB based on user queries.• Developed agentic data processing workflows with support for interactive charts, slide decks, dashboards, and automated report generation using LangChain, LangGraph, and LangSmith.Project 4: Electricity Net Load Forecasting• Created a robust production-level codebase for electricity net load forecasting using Prophet and XGBoost, catering to the needs of four distinct US utility companies.• Established a comprehensive MLOps pipeline to monitor the entire ML model lifecycle, including model development, deployment, and ongoing monitoring, enabling daily scheduled predictions to support operational decisions.
Education
University of South Florida
Master of Science - MS, Electrical Engineering
2018 — 2019
Boise State University
Graduate Student, Computer Science
2017 — 2018
Khulna University of Engineering and Technology
Bachelor of Engineering - BE, Electrical and Electronics Engineering
2011 — 2015
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