NOW STREAMING: AI FOR SCIENCE
Mufakir Ansari
Data scientist and AI researcher building scientific AI systems with strong compute, modeling, and product execution.
My work sits at the intersection of AI for Science, high-performance computing, representation learning, and applied machine learning. I build research systems that are measurable, reproducible, and grounded in real scientific or operational data.
Distributional Discriminative Feature Filtering
Filter-based feature selection ranking features by class-conditional PMF divergence in O(M) time — scalable to high-dimensional genomics data.
Ebola RNA-seq
356 SRA runs on OSC Ascend cluster — SLURM arrays, dual quantification (HISAT2 + Kallisto), 15M+ read pairs.
DynaCut
Tensor-network circuit knitting framework — 26-qubit reconstruction in ≤ 1.74 MB vs OOM at 1024 MB.
SYSTEM STACK
Skills architecture
CURATED LIBRARY
Projects worth opening first
CAREER ARC
Experience timeline
Wright State University
Research Assistant
Continuing research in AI systems with a focus on scalable learning, scientific workflows, and intelligent agent design.
Transportation Systems Research Lab, The University of Toledo
Research Assistant
Built ensemble ML pipelines over 37K+ transportation records and deployed reproducible AWS and Databricks workflows for large-scale experimentation.
High-Performance Computing Lab, The University of Toledo
Research Assistant
Optimized distributed GPU workloads on HPC clusters, doubled training efficiency, and modeled emissions-aware scheduling for energy-conscious computing.
Lamar University
Research Assistant
Installation, Testing and Data Analysis for a Weather Station.
Orcinus IT Solutions
Technical Lead
Led end-to-end ML and ETL delivery for seven SaaS clients, reducing pipeline latency by up to 35% and improving deployment reliability by 30%.
MyFajir IT Solutions
Senior Engineer / Consultant
Designed production APIs, dashboards, and cloud ERP systems supporting real-time analytics with 99.9% uptime.
PanunKart.com
Business Operations Lead
Designed data strategy, market segmentation, and experimentation frameworks that contributed to 150% sales growth and stronger business intelligence loops.
ACADEMIC TRACK
Education and certifications
M.S. in Computer Science & Engineering
Artificial Intelligence Track, The University of Toledo
August 2023 - August 2025 · GPA 3.91 / 4.00
B.Tech. in Electronics & Communication Engineering
National Institute of Technology, Srinagar, India
July 2009 - July 2013
SQL for Data Science
Data Science Math Skills
Introduction to Statistics
Distributed Computing with Spark SQL
Business Metrics for Data-Driven Companies
Managing Machine Learning Projects
Data Visualization and Communication with Tableau
RESEARCH CATALOG
Papers, systems, and active directions
SCHOLAR PROFILE
Google Scholar and citation footprint
Google Scholar
Citations
Pending
h-index
Pending
i10-index
Pending
Mufakir Qamar Ansari
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Open Google Scholar
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REPOSITORY MATRIX
Public repo footprint
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FINAL CREDITS
Let’s build serious AI systems.
Open to relocation. Interested in AI research, applied ML, scientific computing, privacy-preserving agents, and high-leverage product engineering.