Vignesh Saptarishi Ramesh

AI, machine learning, computational neuroscience

vignesh.saptarishi@gmail.com | 7rishi.io | LinkedIn

I focus on designing and engineering AI systems for real world applications, with 8 years of experience delivering ML and Deep Learning solutions across Computer Vision and NLP — directly responsible for driving B2B revenue well into the tens of millions of dollars. I have degrees in Neuroscience and Electrical Engineering, multi-disciplinary foundations, and have worked on various academic research and applied engineering projects. I have led and managed cross-disciplinary teams in a fast-paced startup environment, navigating both technical and strategic challenges to delivery cutting-edge AI solutions.

Professional Experience

Jan 2020 - Oct 2024 Director - Machine Learning, vue.ai / Mad Street Den

Aug 2022 - Oct 2024 Intelligent Documents Processing

• zero-to-one founding algorithms engineer for the product
• scaled and led the ML org for domain-agnostic document processing algorithms
• design & setup end-to-end models, custom embeddings & RAG implementation, re-training loops and orchestrator as configurable workflows
• algorithms: LLMS - in-context learning, RAG, document layout understanding, NER, document classification, embeddings, search, OCR, summarization, computer-vision, multimodal AI
• foster customer relationships with large enterprises: designing solutions and managing implementation
• 100% code contributor on all projects, along with managerial responsibilities including technical leadership, mentorship and strategic planning

Jan 2020 - Aug 2022 Virtual Dressing Room

• cutting-edge applied research on GANs
• scaled up and managed algorithms research to a focused 6 member team
• algorithms: image generation (GANs) for fitting garments to models at 4k resolution, spatial transformers, shadows & lighting generation, segmentation from images and videos, garment and model pose/parts detection
• 3d pipeline for synthetic data generation with Blender and Marvelous Designer
• setup practices & internal tooling for a >100 member in-house data collection organization
• support platform engineering team with architecture design
• 100% code contributor on all projects, along with managerial responsibilities including technical leadership, mentorship and strategic planning

Feb 2017 - Jan 2020 Technical Lead - Machine Learning, vue.ai / Mad Street Den

Feb 2017 - Jan 2020 Automated Product Tagging for eCommerce

• founding algorithms team for the product
• designed and implemented end-to-end ML workflows with automated re-training loops
• directly responsible for productionizing models and internal systems for no-code model building and orchestration
• setup and scaled the data collection organization
• algorithms: fine-grained image classification, segmentation, object detection, NER from text, title & description generation from images

Aug 2013 - Sep 2015 Graduate Researcher, Marder Lab, Brandeis University

• developed spatiotemporal, physiological models to study how single neurons and neuronal circuits maintain stable behavior during growth, and in the presence of intrinsic and extrinsic perturbations
• built a framework to configure and simulate morphologically detailed neuronal models using the NEURON simulator
• extended the MOOSE simulator for conductance models as a Visting Researcher at the Bhalla Lab, National Center for Biological Sciences
• thesis: Homeostatic regulation of intrinsic neuronal conductances in morphologically growing neurons

Aug 2010 - Aug 2013 Research Associate, Waran Research Foundation, India

• developed computational models and large-scale neural network simulators to understand implication of cellular energetics on functional brain circuits

Education

Aug 2013 - Aug 2015 M.S. Neuroscience - Brandeis University, USA

• GPA: 3.84 / 4.00
• graduate researcher in Prof. Eve Marder’s lab (as a PhD candidate)
• teaching assistant - Intro to Behavioral Neuroscience, Spring 2014 with Prof. Don Katz

Sep 2009 - May 2013 B.Engg. Electrical Engineering - Anna University, India

• first class, GPA: 8.0/10.0
• thesis: Methods for Nonlinear Estimation using Kalman Filters to estimate state vectors and control DC motors

Fellowships & Awards

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• National Institute of Health - Neuroscience PhD Fellowship, Brandeis University, 2013-2015
• Chairman (Devaki Muthiah) Endowment Award for Overall Best Student 2009 - 2013, Sri Venkateswara College of Engineering, Anna University