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LakshmiSagar570/README.md

$ git log --oneline --graph -n 6


commit f3a9d2e (HEAD -> main, origin/main)
Author: Lakshmi Sagar <lakshmisagar570@github.com>
Date:   Now

    wip: shipping PatchPilot + DNS Tunneling Detector

    - multi-agent autonomous engineering platform (FastAPI + Groq LLaMA 3.3)
    - XGBoost-based network anomaly detector, ROC-AUC 0.9992
    - TODO: compress detector for constrained/edge hardware

commit b7c1d4f
Author: Lakshmi Sagar <lakshmisagar570@github.com>
Date:   2026

    feat: qualify GATE DA 2026 (AIR 9277)

commit a2e9f83
Author: Springer <submissions@lnns.springer.com>
Date:   2025

    feat(research): paper accepted — ICTIS 2026, Bangkok

    - Title: A Review on Large Language Models in Engineering
    - Venue: Springer LNNS, oral presentation, Paper ID 1235
    - Side effect: 2 more manuscripts now under peer review

commit 9c3b7a1
Author: MITS Admissions <admissions@mits.ac.in>
Date:   Aug 2023

    feat: enroll B.Tech CSE (AI/ML) at MITS, Madanapalle

    - CGPA holding at 8.67
    - began building systems that cross disciplinary lines

commit 0a1b2c3
Author: Lakshmi Sagar <lakshmisagar570@github.com>
Date:   2006

    init: add Lakshmi Sagar Seshadri

    - location: Andhra Pradesh, India


$ man sagar

SAGAR(1)                    Reference Manual                    SAGAR(1)

NAME
       sagar — ML systems engineer, published researcher

SYNOPSIS
       sagar [--role researcher | engineer | collaborator]
             [--stack python | fastapi | nextjs | xgboost | gee | gdal]
             [--available internship | research | full-time]

DESCRIPTION
       Fourth-year B.Tech CSE (AI/ML) student at MITS, and a published
       ML researcher in the Springer LNNS series. Builds end-to-end
       systems rather than stopping at the prototype — reads papers
       and writes code in the same sitting.

OPTIONS
       --publication
           "A Review on Large Language Models in Engineering"
           Springer LNNS · ICTIS 2026, Bangkok · Oral Presentation
           Paper ID: 1235

       --cgpa 8.67 / 10.0

       --stack
           Core        Python, TypeScript, Go, Bash
           AI/ML       XGBoost, PyTorch, scikit-learn, Groq LLaMA 3.3
           Geospatial  Google Earth Engine, GDAL, Sentinel-2, Landsat-8
           Backend     FastAPI, PostgreSQL, Supabase, pgvector
           Frontend    Next.js, React, Three.js, Tailwind CSS
           Infra       Docker, Vercel, Render, GitHub Actions

       --projects
           DNS Sentinel   Network anomaly detection, ensemble ML
                          XGBoost + RandomForest · ROC-AUC 0.9992

           PatchPilot     Multi-agent autonomous engineering platform
                          Self-healing tests + CI/CD log analysis

           LFAN           Lightweight CNN for ×4 super-resolution
                          29.09 dB PSNR · 731K params · 78ms inference

           AssumptionX    AI business idea stress-tester (live)
                          assumption-x.vercel.app

           KrishiMind     Crop intelligence for Indian agriculture
                          XGBoost + Groq + FastAPI

BUGS
       - Commits at 2am when the problem is "almost solved"
       - Frequently underestimates time required for "one small fix"

ENVIRONMENT
       LOCATION       Andhra Pradesh, India
       TIMEZONE       IST (UTC+5:30)
       INSTITUTION    MITS, Madanapalle · Batch 2023–2027

SEE ALSO
       portfolio(1) → lakshmisagar570.github.io/Portfolio
       linkedin(1)  → linkedin.com/in/lakshmi-sagar-seshadri-9295812b4
       leetcode(1)  → leetcode.com/u/qNpie0dryO
       live(1)      → assumption-x.vercel.app

AUTHOR
       Lakshmi Sagar Seshadri <github.com/LakshmiSagar570>

MITS 2023–2027                                                  SAGAR(1)


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