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Artyfowl1710/README.md
Mihir Khatri — AI Research, Computer Vision, Backend Systems


About

I'm a Computer Science student at Sardar Patel Institute of Technology, Mumbai, working across LLM inference efficiency, computer vision, and agentic systems. I care about the mechanics underneath the model — sparse sampling, attention geometry, agent orchestration, and where a system quietly breaks.

Published independent researcher (Ro-SVD, Zenodo 2026). Currently building Zenso, a video engagement analytics platform, and Sentinel, a multi-agent LLM red-teaming harness.

research(x)  ≈  the same math that governs chips, choices, cities, and careers
              — applied wherever it's actually useful.

Publication

Ro-SVD: Position-Aware SVD Compression of KV Caches in GQA Models

Zenodo, May 2026

Online activation-level KV cache compression using position-aware truncated SVD on pre-RoPE key tensors in Grouped-Query Attention architectures.

  • Evaluated across 1,602 samples on all 16 LongBench subsets, Qwen2.5-7B-Instruct, 4-bit NF4 quantisation, dual NVIDIA T4 GPUs
  • 73.91% win rate on ROUGE-L against the uncompressed baseline while cutting KV-cache memory by 35.1%
  • Adaptive staircase rank allocation with per-head energy thresholding for high-entropy attention heads
  • Custom CUDA de-rotation kernel with cuBLAS SGEMM batched low-rank projection; randomised SVD path reducing complexity from O(Thd²) to O(Thr log r)

CUDA cuBLAS Attention Mechanisms Inference Efficiency → code & implementation


Research

Research timeline

Zenso — Neural Engagement Analytics

Video engagement analytics platform. E(t) engagement scoring with hemodynamic lag correction, six-module LangGraph agent architecture, sparse-frame sampling (16 frames holds >0.99 Pearson r vs. full density at 7.5x speedup).

LangGraph PyTorch FastAPI
In active development — private (Kaggle/local) pending IP protection

Sentinel — Cross-Modal LLM Red-Teaming

Multi-agent harness (LangGraph + OpenRouter/NVIDIA NIM) probing LLMs across five attack categories, with a cross-modal extension measuring how jailbreak success shifts across text, image, and video delivery — the "modality gap."

LangGraph AI Safety Multi-Agent
In active development — private (Kaggle/local) pending IP protection


Featured Projects

SkillFlow AI Agentic peer skill-bartering platform built for the JPMC Agastya Foundation. Autonomous matching between learners and mentors, no manual moderation.

FastAPI Full-Stack Agentic
Live app ↗ · Code ↗
Status: Deployed

CivicFlow Automated form discovery and filling agent using LangGraph, Playwright, and Claude Vision, with an RL feedback loop for adaptive form handling.

LangGraph Playwright Claude Vision
Status: Complete

Automated Form-Filling Agent LLM agent that parses a target form's structure and generates Selenium automation to autofill it from a stored user profile. Built for FAR AWAY 2026.

LangGraph Selenium
Code ↗
Status: Complete

Mineguard — YOLO Rockfall Detection Safety-critical rockfall detection on limited annotated datasets; precision-recall analysis across IoU thresholds.

YOLO Computer Vision
Code ↗
Status: Complete

Willovate Talent Hunt Production-grade ML service shipped under hackathon time constraints.

FastAPI Docker
Code ↗
Status: Complete

Transformer From Scratch Multi-head self-attention, causal masking, positional encoding, and autoregressive decoding implemented from first principles.

PyTorch
Status: Complete


Industry Experience

AI/ML Intern — Daten & Wissen Pvt. Ltd. · 2025 Fine-tuned PaddleOCR models for license plate detection and recognition (~88% end-to-end accuracy); evaluated U-Net/SAM/ResNet segmentation backbones for production latency–accuracy trade-offs; ran Optuna hyperparameter sweeps.


Certifications

  • Hugging Face — Agents Course, Unit 1 Fundamentals Certificate
  • Hugging Face — NLP Course Certificate
  • Google Cloud Skills Boost — Agent Fundamentals
  • Google Cloud Skills Boost — Use Machine Learning APIs on Google Cloud (skill badge)
  • NVIDIA Deep Learning Institute — Agentic AI Explained
  • Docker Essentials: Container Networking

Tech Stack

Languages

AI / ML

Backend

Data

Cloud & Tools


Stats


Contribution snake

Snake animation generated automatically from contribution history — see .github/workflows/snake.yml.



Latest from Gradient: Weight & Meaning

  • Latest posts sync automatically via .github/workflows/latest_articles.yml — run the workflow once after setup to populate this section.

Roadmap

  • Publish Sentinel's modality-gap results as a public benchmark
  • Ship Zenso beta to first external users
  • Extend Ro-SVD to adaptive-rank compression
  • Cross the 20-post mark on Gradient: Weight & Meaning

Contact

Popular repositories Loading

  1. mineguard mineguard Public

    retry

    1

  2. skill-flow skill-flow Public

    test it out at

    TypeScript 1

  3. Ro-SVD-Position-Aware-SVD-Compression-of-KV-Caches-in-Grouped-Query-Attention-Model Ro-SVD-Position-Aware-SVD-Compression-of-KV-Caches-in-Grouped-Query-Attention-Model Public

    this is the official code and implementation of the Ro-SVD paper

    Jupyter Notebook 1

  4. willovate-talent-hunt willovate-talent-hunt Public

    this is the official implemntation of the hack by mihir khatri

    Python 1

  5. Artyfowl1710 Artyfowl1710 Public

    This is my personal repo

  6. artyfowl1710.github.io artyfowl1710.github.io Public

    my portfolio

    HTML