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Jay Patel Computer Programmer

Seneca Polytechnic Programming graduate specializing in Python, SQL, and database algorithms. Creating streamlined technical answers to bridge the gap between software development and complex operational systems.

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Profile

The Nexus of Tech & Operations

Combining computer science logic with front-line high-throughput fulfillment, client account escalations, and store operations.

I build software that drives real-world throughput.

With a Computer Programming Diploma from Seneca Polytechnic, I developed a strong foundation in algorithmic reasoning, database structures, and object-oriented architectures. Unlike traditional developers, I spent years leading operations at Complete Mart, managing high-volume sorting at Amazon, and coordinating courier accounts (UPS, FedEx, DHL) for Sunshine Corporation. I thrive where operational workflows meet technological automation.

View LinkedIn Profile
100%
SLA Compliance
400+
Items/Hr Sorting
500+
Shipment Disputes Solved
4.0 / 4.0
Seneca Project Quality
Competencies

Professional Skill Matrix

A breakdown of technical engineering capabilities paired with physical operations and customer service expertises.

Software Engineering

Python Automation 90%
SQL Databases & Design 85%
Data Structures & Logic 80%
Web Scripting (HTML/CSS/JS) 75%

Logistics & Operations

Multi-Carrier Shipping (UPS, FedEx, DHL) 95%
Inventory Lifecycle Control (500+ SKUs) 90%
Warehouse Sorting & Scanners 90%
Fleet & Rental Coordination 85%

Customer Experience

Account De-escalation & Disputes 95%
High-Volume Order Speed (Tim Hortons) 90%
POS Systems & Financial Auditing 90%
Age-Verification Compliance 95%
Milestones

Professional Journey

A timeline mapping out academic success along with operations positions in Canada.

Mar 2026 – Present

Team Member

Tim Hortons | Toronto, ON

Directing customer service operations in a high-volume drive-thru. Consistently meets strict 45-second service metrics, reconciles thousands in POS transactions daily, and trains new members on front-end software systems.

Aug 2025 – Jan 2026

Warehouse Associate (Sorting Station)

Amazon | Toronto, ON

Executed warehouse operations, sorting and routing up to 400+ units per hour using scanner guns and warehouse management software. Maintained a 99.8% audit accuracy score and coordinated team freight handling in safety-critical sectors.

Graduated Dec 2025

Computer Programming Diploma

Seneca Polytechnic | Ontario, CA

Completed intensive programming curriculum. Specialized in database designs, advanced data structures, algorithmic scripting, OOP concepts, and building robust, clean code architectures in Python and C++.

Dec 2023 – Mar 2026

Customer Experience Specialist & General Manager

Sunshine Corporation / Complete Mart | Toronto, ON

Spearheaded operational leadership for a retail shipping node handling DHL, FedEx, and UPS accounts. Resolved over 500 carrier disputes, negotiated custom shipping solutions, tracked a 500+ SKU database, and optimized U-Haul fleet coordination to increase lease turnovers by 15%.

Jun 2023 – Oct 2023

Cashier & Service Associate

Dundas Variety Store | Brantford, ON

Managed front-desk client experiences, operating Point-of-Sale structures and OLG terminals. Conducted strict age-restricted auditing and inventory stocking under active shifts.

Showcase

Innovative Case Studies

Explore specialized projects built to bridge digital algorithms with physical operational systems.

Active Engine

ATS Master Resume Compiler

A Python-based compiler that dynamically aggregates raw JSON profile schemas and parses them into perfectly formatted, ATS-compliant HTML/CSS templates, compiling them into vector PDFs using headless Chrome layers.

Target Format Single Page PDF
Parsing Latency 1.2 seconds
Compliance Rating 99.2% ATS Rating
NOC Coverage TEER 1, 2 & 3 Matching
Python 3.11 HTML5/CSS3 Automated Pipelines
Optimizing

LogiFlow Route Automator

An algorithmic routing pipeline designed to optimize package delivery flows. Implements custom sorting algorithms to classify shipments by courier weight-threshold levels and automatically rids delivery discrepancies.

Sorting Rate 400+ pkgs/hr (Sim)
Route Savings 12.5% Distance Red.
SLA Verification 99.98% accuracy
Carriers Checked UPS, FedEx, DHL
Algorithmic Math Python Scripting JSON Schema
Simulated

Sunshine SLA Monitor

A responsive, high-performance logistics dashboard interface. Connects simulated API logs of delivery accounts and visualizes real-time courier fulfillment performance, tracking dispute claims dynamically.

Disputes Tracked 500+ Cases
SLA Recovery 98% Success
Data Points 10,000+ Trans/day
Negotiation Yield $15,000 Saved
Dynamic UI Data Visualization CSS Variables
Operations Hub

Amazon Outbound Conveyor & SLA Simulator

An interactive outbound sortation game mimicking high-throughput Amazon hub conveyor flows. Sort parcels arriving in the scan zone under strict precision constraints.

Sortation Dashboard

Maintain strict outbound delivery SLAs. Route arriving packages immediately into the correct transport lanes. Desktop players can use Left / Right Keyboard Arrow Keys!

Routing SOP Guidelines:
  • ⬅️ Air Express (Left): Weight < 5.0 kg AND Priority Express (⭐)
  • ➡️ Heavy Ground (Right): Weight >= 5.0 kg OR Super Saver (📦)

Verify the queue-based sorting logic executing in Python. Automatically directs parcels into appropriate shipping buffers according to weight and urgency tags.

Processed 0 / 15
Sorting Accuracy 100%
Simulated Speed 0 u/hr
Sorting Errors 0

Outbound Sortation Shift

Parcels are arriving on the conveyor belt. Route them correctly to the **Air Express (Left)** or **Heavy Ground (Right)** lanes. Maintain 99.8% precision SLA.

Air Lane
Ground Lane
Item Code --
Weight (kg) -- kg
Service Class --
Carrier --
package_router.py
import queue

class PackageRouter:
    def __init__(self):
        self.air_express_bin = []
        self.heavy_ground_bin = []
        self.processed = 0
        self.errors = 0

    def route_package(self, package):
        # 1. Extract packaging telemetry parameters
        weight = package.get("weight", 0.0)
        service = package.get("service", "Ground")
        is_priority = (service == "Priority Express")
        
        # 2. Strict Amazon Outbound SLA Routing Decision rules
        should_be_air = (weight < 5.0) and is_priority
        
        if should_be_air:
            destination = "Air Express"
            self.air_express_bin.append(package)
        else:
            destination = "Heavy Ground"
            self.heavy_ground_bin.append(package)
            
        self.processed += 1
        return destination
Get in Touch

Let's Collaborate

Whether you're looking for a Transportation Logistics Coordinator or a Software Programmer with operational depth, reach out below.

Contact Details

I am currently located in Toronto, ON, Canada, and am eligible to work full-time on implied status with an active PGWP application pending. Open to roles in the GTA or remote.

Phone

437-981-3545

Location

Toronto, Ontario, Canada