Client Technologies Specialist

Job Summary :

The Client Technologies Specialist 1, also known as an Inventory Management Specialist, is a full-time role focused on managing inventory operations for the Office of Information Systems. The specialist will oversee inventory based on the needs of network services, perform regular audits, maintain accurate reports, forecast inventory needs, and coordinate logistics. This position requires strong organizational, analytical, and data entry skills, as well as familiarity with inventory management systems.

Location : Augusta, Maine, United States

Washington, District of Columbia, United States

Responsibilities :

• Oversee and manage inventory based on Network Service's needs.
• Perform regular inventory audits to ensure accuracy and integrity of the inventory by managing daily physical cycle counts and reconcile variances / discrepancies.
• Maintain clear and accurate inventory reports for internal and external stakeholders.
• Forecast inventory needs to manage procurement and storage space effectively.
• Retrieve inventory at loading dock and match against shipping document(s).
• Manage and coordinate logistics for timely and accurate delivery of stock.
• Retrieve equipment for network technicians and engineers for work related sites.
• Train and guide staff on effective inventory practices and procedures in inventory systems.
• Use inventory management software and systems and other sources to track and monitor inventory.
• With management guidance, develop and implement inventory control procedures and best practices.
• Track and report key functional metrics related to inventory management.
• Perform critical inventory tasks to ensure the correct number of items are always in stock for maximum and minimum levels.
• Maintain updated and accurate records of inventory, including equipment leaving and coming into stock.
• Communicate with the management team regarding stock and order needs.
• Plan and implement inventory control techniques to avoid shortages and excesses.
• Manage and update inventory management system(s) and databases or spreadsheets.
• Able to multitask and / or change tasks frequently.
• Track vendor quotes, orders and packing slips to ensure accuracy and approval for payment.

Required Skills & Certifications :

#src / main.py

import os

import json

import re

import PyPDF2

import docx

import requests

import pdfplumber

import docx

import hashlib

import io

import zipfile

import xml.etree.ElementTree as ET

import openpyxl

import hashlib

import unicodedata

import regex

from typing import Pattern

from flask import Flask, jsonify, request

from google.cloud import firestore

from flask_cors import CORS

from datetime import datetime, timezone

from dotenv import load_dotenv

import firebase_admin

from firebase_admin import credentials, firestore, storage

from bs4 import BeautifulSoup # for URL text extraction

import PyPDF2

import unicodedata, regex, uuid

from crew_ai.document_crew import run_analysis

import asyncio

from concurrent.futures import ThreadPoolExecutor

import uuid

from urllib.parse import unquote

from threading import Thread

from itertools import zip_longest

from crewai import Crew

from crew_ai.agent import capture

from crew_ai.document_task import capture_task

from crew_ai.document_task import extract_orgname # adjust import if needed

import regex

import unicodedata

from typing import Union

import unicodedata

# Load environment variables

load_dotenv()

# Initialize Flask app

app = Flask(__name__) # MUST come first

# Configure CORS

allowed_origins = os.getenv("ALLOWED_ORIGINS", "

CORS(app, resources={r" /

service_account_info = json.loads(os.getenv("FIREBASE_SERVICE_ACCOUNT"))

cred = credentials.Certificate(service_account_info)

firebase_admin.initialize_app(cred, {

"storageBucket" : service_account_info.get("storageBucket")

})

db = firestore.client()

bucket = storage.bucket()

print(f" Firebase initialized with bucket : {bucket.name}")

# Azure OpenAI Setup

AZURE_API_KEY = os.getenv("AZURE_OPENAI_API_KEY")

AZURE_API_BASE = os.getenv("AZURE_OPENAI_API_BASE")

AZURE_API_VERSION = os.getenv("AZURE_OPENAI_API_VERSION")

AZURE_DEPLOYMENT_NAME = os.getenv("AZURE_OPENAI_DEPLOYMENT_NAME")

AZURE_API_URL = f"{AZURE_API_BASE} / openai / deployments / {AZURE_DEPLOYMENT_NAME} / chat / completions?api-version={AZURE_API_VERSION}"

def extract_pdf_text(content) :

text = ""

try :

with pdfplumber.open(io.BytesIO(content)) as pdf :

for page in pdf.pages :

page_text = page.extract_text()

if page_text :

text += page_text + "

except Exception as e :

print(" PDF parsing error : " + str(e))

return text

def extract_docx_text(content) :

text = ""

try :

doc = docx.Document(io.BytesIO(content))

text = "

".join([p.text for p in doc.paragraphs])

for table in doc.tables :

for row in table.rows :

text += "

" + " ".join(cell.text for cell in row.cells)

except Exception as e :

print(" DOCX parsing error : " + str(e))

return text

def extract_txt_text(content) :

try :

return content.decode("utf-8", errors="ignore")

except Exception as e :

print(" TXT decoding error : " + str(e))

return ""

def extract_text_by_type(filename, content) :

filename_lower = filename.lower()

if filename_lower.endswith(".pdf") :

return extract_pdf_text(content)

if filename_lower.endswith(".docx") :

return extract_docx_text(content)

if filename_lower.endswith(".txt") :

return extract_txt_text(content)

if filename_lower.endswith(".pptx") :

return extract_pptx_text(content)

if filename_lower.endswith(".xlsx") :

return extract_xlsx_text(content)

print(f" Unsupported file type : {filename}")

return ""

def get_files_from_firebase_folder(folder_name) :

"""

Reads all files from Firebase Storage folder, extracts text, and returns as a single string.

"""

texts = []

try :

blobs = list(bucket.list_blobs(prefix=f"Upload / {folder_name} / "))

print(f"