Ayan Biswas
ML Engineer
4+ years ML exp
C++
Python
C
Active 25 days ago
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Overview
Technical skills
Timeline
Roles
Overview
AI/ML research scientist and software engineer with 15+ years in statistical machine learning, LLM workflows, and high-performance AI systems. At Los Alamos National Laboratory, leads research on foundation-model evaluation, uncertainty quantification, retrieval, and agentic AI, and develops scalable HPC data/evaluation pipelines. Experienced translating research prototypes into reproducible systems and high-scale deployments using Python and C++.
Technical skills
Languages
3
C++
Python
C
AI/ML
10
Machine Learning
LLM
NumPy
PyTorch
Scikit-learn
Model Context Protocol
AI Agents
SciPy
RAG
Fine-tuning
Other
14
PyTorch C++
.NET
Diffusion Models
OCR
Embeddings
Function Calling
Multimodal AI
World Models
NLP
Reinforcement Learning
HPC
Pre-training
Transfer Learning
Federated Learning
Timeline
Scientist 4
·
Middle
Los Alamos National Laboratory
·
Full-Time
Leading research on foundation-model evaluation, uncertainty quantification, out-of-distribution generalization, LLM fine-tuning, retrieval workflows, and agentic AI. Runs multimodal and agentic initiatives, including physics-informed ML and surrogate modeling with diffusion-based world models. Develops and scales high-performance AI pipelines for extreme-scale GPU/HPC systems and builds OCR and data-generation pipelines for distributed research workflows.
LLM
Fine-tuning
RAG
AI Agents
Diffusion Models
OCR
Federated Learning
Transfer Learning
Pre-training
Model Context Protocol
C++
Scientist 3
·
Middle
Los Alamos National Laboratory
·
Full-Time
Scientist 2
·
Middle
Los Alamos National Laboratory
·
Full-Time
Postdoctoral Researcher
·
Head+
Los Alamos National Laboratory
·
Full-Time
Graduate Research / Teaching Assistant
·
Middle
The Ohio State University
·
Full-Time
Conducted research in machine learning, statistical data analysis, scientific visualization, and high-dimensional ensemble/time-varying datasets. Built computational methods for uncertainty analysis, feature extraction, dimensionality reduction, and data-driven exploration of large scientific datasets. Supported teaching and mentoring in computer science, data analysis, scientific computing, and visualization.
Software Engineer
·
Middle
STMicroelectronics
·
Full-Time
Developed production software and systems in a semiconductor technology environment. Focused on performance-oriented programming, debugging, and systems integration within large-scale software development. Delivered engineering support for reliable software operation in production settings.
Ohio University
Doctoral Degree (PhD) ·
Data Analysis and Visualization
Jadavpur University (JU)
Bachelor's Degree ·
Computer Science