Daniyal Dar
East Lansing
Summary
Dynamic and results-driven researcher with expertise in machine learning and deep learning, honed at Michigan State University. Achieved a 90% success rate in targeted voice conversion while mentoring peers. Proficient in deep learning and passionate about advancing AI technologies through innovative solutions and collaborative teamwork.
Overview
4
4
years of professional experience
Work History
Graduate Research Assistant - IProbe Lab
Michigan State University
East Lansing
01.2025 - Current
- Built a 7-GPU, distributed PyTorch pipeline that fuses voice-conversion with Carlini-Wagner adversarial attacks, achieving 90 % targeted-transcript success at ε ≤ 0.005 while preserving ECAPA-TDNN cosine ≥ 0.85 on a 109-speaker VCTK benchmark.
- Curated and processed 2 TB of multi-modal data (LibriSpeech and VCTK); engineered feature pipelines and vector indexes, enabling sub-second retrieval for training and A/B evaluation.
- Prototyped FiLM-conditioned seq2seq module, lowering identity loss by 12%, and boosting top-1 recommendation accuracy by 7% in ablation studies on knowledge-graph-augmented speaker data.
- Authored two manuscripts in preparation (IEEE/ACM T-ASLP, Interspeech 2026), and won Best Computational Poster at the 2025 MSU Graduate Student Symposium.
- Mentored two undergraduate RAs and led a weekly reading group on LLMs and large-scale information retrieval.
Technical Research Assistant
Michigan State University
East Lansing
12.2022 - 08.2023
- Developed and maintained QMRA Wiki website to provide accessible resources.
- Created a dashboard for COVID-19 detection in wastewater, visualizing high concentration areas across campus.
Data Science Intern
Delta Dental of Michigan
Okemos
11.2021 - 05.2022
- Developed a fully automated dashboard to detect anomalies in the data using KPI to provide solutions to dental health insurance business needs and to support long term digital anomaly detection strategies
- Developed statistical models’ strategy that increased efficiency of purchasing plan from suppliers by 10% by proactively solving potential problems
Software Engineering Coop
FedEx Ground
Pittsburgh
08.2021 - 12.2021
- Built a compliance checking tool in Python and SQL to streamline package processing and ensure adherence to international and federal regulations for diverse clients.
- Collaborated with cross-functional teams to enhance the tools efficiency, integrating data validation protocols and optimizing runtime for large datasets
Education
Ph.D. - Computer Science
Michigan State University, College of Engineering
East Lansing, MI12.2028
Master of Science - Computer Science
Michigan State University, College of Engineering
East Lansing, MI12.2024
Bachelor of Science (with Honors) - Computer Science, Minor in Entrepreneurship and Innovation
Michigan State University, College of Engineering
East Lansing, MI12.2022
Skills
- Machine Learning
- Deep Learning
- Natural Language Processing
- Large Language Models
- Voice/Speech Conversion
- Adversarial Machine Learning
- Automatic Speech Recognition (ASR)
- Signal Processing,
- PyTorch
- Python
Projects
Michigan State University, East Lansing, MI, Research Assistant, Developed targeted adversarial attack algorithms for voice recognition systems using Whisper and transformer models, creating imperceptible audio modifications that bypass human detection while remaining interpretable by voice assistants., Engineered an efficient adversarial audio generation pipeline with TensorFlow and PyTorch on a multi-GPU setup, enabling robust experimentation to identify vulnerabilities in automated voice systems and explore defense strategies., Michigan State University, East Lansing, MI, Research Assistant, Compared simulated gene trees with real ones using “Seq-Gen” and “Fast Tree” to develop Robinson Foulds distance for determining the similarity between two gene trees based on the Jukes Cantor Model, Poster Presentation: D. Dar and K. Liu, “Novel algorithms and tool development for comparative genomics and phylogenomics,” at 2021Mid-Michigan Symposium for Undergraduate Research Experiences (Mid-SURE) of Michigan State University, 2021. Video, Poster, Abstract
References
References available upon request.
Timeline
Graduate Research Assistant - IProbe Lab
Michigan State University
01.2025 - Current
Technical Research Assistant
Michigan State University
12.2022 - 08.2023
Data Science Intern
Delta Dental of Michigan
11.2021 - 05.2022
Software Engineering Coop
FedEx Ground
08.2021 - 12.2021
Ph.D. - Computer Science
Michigan State University, College of Engineering
Master of Science - Computer Science
Michigan State University, College of Engineering
Bachelor of Science (with Honors) - Computer Science, Minor in Entrepreneurship and Innovation
Michigan State University, College of Engineering
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