Siddharth Magesh
Experience

Research & industry experience

Model adaptation, applied computer vision, and the engineering work around usable AI systems.

Graduates Rising in Data Science (GRIDS)

Oct 2026–Present

Member · Los Angeles, California

Developing Permissions That Learn: fixed user-defined boundaries, a decision gatekeeper, and approval-learning memory for AI agents. Evaluating interruptions, unauthorized actions, and permission creep in simulated AgentDojo tasks.

Sudha Gopalakrishnan Brain Centre, IIT Madras

Dec 2025–Feb 2026

LLM Researcher · Chennai, India

Adapted LLMs and vision-language models for computational neuroscience and digital histology. Built pipelines for Nissl/H&E imagery, MRI-linked data, and biomedical annotations, covering alignment, fine-tuning, inference, and evaluation on NVIDIA DGX A100 infrastructure.

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WebOps Club, Velammal Engineering College

Feb 2025–Feb 2026

Vice Chairman & Lead Backend Developer · Chennai, India

Helped lead a 17-member team building the college’s production website. Architected Node.js/Express/MongoDB services and 50+ REST endpoints, with authentication, AWS deployment, CI/CD, monitoring, and security controls; established reviews, documentation, and successor mentoring.

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Youth Red Cross, Velammal Engineering College

Nov 2022–Oct 2025

Technical leadership & community service · Chennai, India

Progressed through three roles spanning community programs, volunteer coordination, and software development.

Technical Head

Aug 2024–Oct 2025

Led technical tools and automation, including a blood-donation platform connecting donors with people in urgent need.

Joint Secretary

Sep 2023–Aug 2024

Coordinated event planning, volunteers, logistics, scheduling, and on-ground delivery.

Volunteer

Nov 2022–Sep 2023

Participated in 15+ community initiatives, including donation drives, awareness campaigns, and outreach.

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Inzpire Solutions

Feb–May 2025

Software Developer Intern · Tamil Nadu, India

Developed ML stock-transfer prediction and verification, utensil-cleanliness classification, and inventory vision workflows for retail and Smart Café operations. Built end-to-end datasets and model pipelines; published clean/dirty glass classification, object detection, and Rangoli Detection datasets on Kaggle.

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Scrapify Ecotech Private Limited

Nov 2024–Jan 2025

AI Software Engineer · Tamil Nadu, India

Developed EcoFloater’s onboard AI for aquatic-waste detection and navigation. Integrated LLM decision components, YOLOv8, DeepLabV3+, lightweight vision transformers, and sensor inputs on Jetson Nano; applied compression, quantization, and latency optimization for local mission execution.

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