CV
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Contact Information
| Name | Vishesh Yadav |
| Professional Title | Data Scientist and ML Researcher |
| sciencely98@gmail.com |
Professional Summary
Data Scientist at IISc building robust machine-learning systems for sequence modeling, language models, and defense-oriented applications.
Experience
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2025 - present Bengaluru, India
Data Scientist
Indian Institute of Science (IISc) - DRDO Project
- Built a pre-LayerNorm Transformer for radar pulse deinterleaving, mapping Pulse Descriptor Word trains to per-pulse embeddings for emitter separation.
- Owned metric learning and clustering evaluation with triplet loss, HDBSCAN, and AMI, ARI, NMI, and V-measure; a protocol fix improved median ARI from about 0.36 to 0.575.
- Scaled research using multi-GPU DDP, synthetic PDW corpora, streaming HDF5 loaders, and DRDO ETF transfer and fine-tuning.
- Implemented multi-emitter tracking baselines and sequence classifiers with reproducible evaluation and experiment tracking.
Open Source
Education
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2023 - 2025 Jalandhar, Punjab, India
Master of Computer Applications (Honours)
Lovely Professional University
Machine Learning
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2021 - 2022 Seoni, Madhya Pradesh, India
Diploma in Computer Applications
SECT Computers
Computer Applications
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2019 - 2022 Seoni, Madhya Pradesh, India
Bachelor of Science
D.P. Chhaturvadi College
Mathematics
Skills
Machine learning: PyTorch, JAX, Flax, TensorFlow, Keras, PyTorch Geometric, AxLearn, MaxText
Programming: Python, C++, Java, SQL, R, MATLAB
Systems: Docker, Kubernetes, Git, CI/CD, DDP, NVIDIA A6000 GPUs
Language-model applications: LangChain, vLLM, RAG, state space models, sequence modeling
Data: Pandas, NumPy, Matplotlib, Power BI
Awards
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2025 Academic Topper, 12th Convocation
Lovely Professional University
Highest cumulative academic performance across the graduating cohort.
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2025 Product Hunt -
Product Hunt
Recognition for oioi, a lightweight macOS clipboard overlay.
Certificates
- NVIDIA State of the Art Deep Learning 101 - NVIDIA (2025)
- IBM Machine Learning with Python - IBM (2025)
- IBM Accelerating Deep Learning with GPUs - IBM (2025)