NOW STREAMING: AI FOR SCIENCE
Mufakir Ansari
Ph.D. 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
A scalable and interpretable biomarker discovery framework for HDLSS biological datasets with four complementary divergence metrics.
Ebola RNA-seq
356 SRA runs, SLURM arrays, dual quantification, and publication-grade outputs.
MiniMe
Privacy-focused platform spanning product, backend, and marketing website repos.
SYSTEM STACK
Skills architecture
CURATED LIBRARY
Projects worth opening first
CAREER ARC
Experience timeline
Wright State University
Ph.D. in Computer Science & Engineering
Continuing research in AI systems with a focus on scalable learning, scientific workflows, and intelligent agent design.
Transportation Systems Research Lab
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
Research Assistant
Optimized distributed GPU workloads on HPC clusters, doubled training efficiency, and modeled emissions-aware scheduling for energy-conscious computing.
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
Ph.D. in Computer Science & Engineering
Wright State University, Dayton, USA
January 2026 - Present
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
RESEARCH CATALOG
Papers, systems, and active directions
SCHOLAR PROFILE
Google Scholar and citation footprint
Mufakir Qamar Ansari
Google Scholar profile connected for scheduled metric sync.
Synced from Google Scholar.
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.