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\begin{document}
\maketitle

\vspace{-6mm}
\small{\textbf{Summary:} Results-driven Senior Software Engineer with 10+ years of experience delivering cloud-native APIs and scalable data pipelines. Proven expertise in cloud infrastructure, distributed systems, and CI/CD SDLC automation.}


\vspace{0mm}
\section{Education}

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# built application files
*.apk
*.ap_

# build system
.gradle
/build

# files for the dex VM
*.dex

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https://vfat.tools/polygon/
https://polygonscan.com/
https://app.aave.com/dashboard
https://matic-mainnet.chainstacklabs.com
https://0xtracker.app/
https://quickswap.exchange/
https://polygon.beefy.finance/
https://exchange.dfyn.network/

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Ebook: https://gatech.instructure.com/courses/193244/files/folder/KBAI-Ebook

GDrive notes #1: https://drive.google.com/file/d/1T2TNnNQbfkjR1kyiwC3hgLEjTFiMgbC5/view
GDrive notes #2: https://drive.google.com/drive/folders/1f-udSsv9oMgJ8zzP_YuJo2Em0zQgrDuC?usp=sharing

---
Lesson 3: Semantic Networks
1. Knowledge representation and Reasoning using that representation is the key to problem-solving. 2. Semantic Networks are one of the many ways for knowledge representation. 3. Pathways along spreading activation networks could potentially help with memorizing and recalling solutions instead of solving them every time for new recurring problems.

---

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#!/bin/bash

####
# Split MySQL dump SQL file into one file per table
# based on http://blog.tty.nl/2011/12/28/splitting-a-database-dump
####

if [ $# -lt 1 ] ; then
  echo "USAGE $0 DUMP_FILE [TABLE]"
  exit

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#!/bin/sh
case "$1" in
    *.awk|*.groff|*.java|*.js|*.m4|*.php|*.pl|*.pm|*.pod|*.sh|\
    *.ad[asb]|*.asm|*.inc|*.[ch]|*.[ch]pp|*.[ch]xx|*.cc|*.hh|\
    *.lsp|*.l|*.pas|*.p|*.xml|*.xps|*.xsl|*.axp|*.ppd|*.pov|\
    *.diff|*.patch|*.py|*.rb|*.sql|*.ebuild|*.eclass)
        pygmentize -f 256 "$1";;
    .bashrc|.bash_aliases|.bash_environment)
        pygmentize -f 256 -l sh "$1"
        ;;

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from sqlalchemy import *

engine = \
  create_engine("postgresql://...@localhost:5432/nfldb")
metadata = MetaData(bind=engine)

teams = Table('team', metadata, autoload=True)
players = Table('player', metadata, autoload=True)

inputname = input('input a player name:')

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from __future__ import print_function
from sqlalchemy import *
from sqlalchemy.orm import create_session
from sqlalchemy.ext.declarative import declarative_base

Base = declarative_base()
engine = \
    create_engine("postgresql://...")
metadata = MetaData(bind=engine)

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import os
from datetime import datetime

directory = './test'

for filename in os.listdir(directory):
    filepath = directory + '/' + filename
    filestats = os.stat(filepath)
    print '{} - {} - {} - {}'.format(
        filepath, filestats.st_size, datetime.fromtimestamp(os.path.getctime(filepath)), datetime.fromtimestamp(os.path.getmtime(filepath))

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from flask import Flask, request, abort
import boto3
import json
import os

app = Flask(__name__)
s3client = boto3.client('s3')

@app.route('/', methods=['GET'])
def index():