Abdul Ameer | Software Developer

Hi, I'm Abdul Ameer.

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Self-driven, quick starter, passionate programmer with a curious mind who enjoys solving a complex and challenging real-world problems.

About

I am a Computer Engineering graduate from Presidency University with 3 years of professional experience specializing in Odoo development and Python-based back-end engineering. Over the years, I have gained deep expertise in building and customizing business applications using Odoo's modular framework, along with hands-on experience in Python, Django, Flask, and PostgreSQL. My background includes working across multiple industries, contributing to the development of scalable ERP solutions, automation scripts, and complex business logic tailored to client needs. I’m passionate about creating impactful software that solves real-world problems and improves business processes. I take pride in writing clean, maintainable code and continuously learning new technologies to stay ahead in a rapidly evolving ecosystem.

Languages: Python, JavaScript, OWL js, HTML/CSS, Bash
Databases: MySQL, PostgreSQL, MongoDB
Frameworks: Odoo, Flask, Django, Bootstrap, Fast API
Tools & Technologies: Linux, Git, Docker, AWS, GCP, Heroku, JIRA

Looking for an opportunity to work in a challenging position combining my skills in Software Engineering, which provides professional development, interesting experiences and personal growth.

Experience

Fidelis

Odoo Python developer

Developed dynamic purchase reports using OWL JS components, built custom salary rules including TDS autocalculation based on old/new tax regimes.
Integrated third-party APIs to enable e-Invoice and e-Way Bill generation directly from Odoo.
Developed a custom onboarding workflow involving multi-step approvals and designed reusable field widgets to enhance form interactivity and validation
Built a complete custom target-setting module for employee KPIs and extended Odoo Survey with custom form rendering, dynamic questions, and enhanced kanban/form views for management tracking.
Led end-to-end development and support for client projects, focusing on heavily customized business modules.
Tools: Odoo17, Python, Postgresql, Javascript, Owl js, Xml, Html/css, Git, Pycharm, Linux

Aug 2024 - Present | Banglore, India

Sdwot

Odoo Python Developer

Designed and development of supply chain software solution, to replace an outdated system and reduce manual workflow by 90% and Provided comprehensive training and support to endusers resulting in a 100% satisfaction rate among end-users.
Developed and customized Qweb templates using Html, Css to meet diverse client specifications, Utilized PostgreSQL for efficient CRUD operations and integrated data in the UI using grid view for enhanced user experience.
Integrated Firebase external API to enable real-time notifications upon internal user login to the company website, enhancing user engagement and facilitating timely communication within the organization.
Experienced in leveraging Odoo Erp to enhance operations across manufacturing, retail, and trading sectors.
Tools: Odoo13, Python, Postgresql, Javascript, Owl js, Xml, Html/css, Git, Pycharm, Linux

Apr 2023 - jul 2024 | Hyderabad, India

Projects

KPI Sales Dashboard

KPI Sales Dashboard in Odoo to provide visual insights into business performance.

Accomplishments

Tools: Odoo17, Python, Xml, Owl js, Html/css, bootstrap
•Integrated various interactive charts (bar, pie, line) to display key sales metrics including Top-Selling Products, Monthly Sales Trends, Top Salespeople and Top Customers by Revenue
Implemented dynamic filtering and real-time data aggregation from PostgreSQL for accurate business intelligence
Improved decision-making for sales and management teams by providing a centralized, easy-to-navigate reporting tool.

Fashion Cart

An Ecommerce Fashion website

Accomplishments

Tools: Djangl, Python, ,Javascript, Html/css, bootstrap
Implemented server-side functionality using Django, leveraging its powerful features for user authentication, product catalog management, and order processing.
Integrated the Stripe API to securely handle payment processing within Fashion Kart, enhancing the application's e-commerce capabilities.
Hosted the Fashion Kart application on Amazon Web Services (AWS) EC2 instances, ensuring high availability, scalability, and reliable performance.

Wafer Fault Sensor Web-App

Examine the Faults in Wafer Sensor based on Flask

Accomplishments

Tools: Python, Flask, HTML, CSS, Bootstrap, SQLite, Heroku
The inputs of various sensors for different wafers have been provided. In electronics, a wafer (also called a slice or substrate) is a thin slice of semiconductor used for the fabrication of integrated circuits. The goal is to build a machine learning model which predicts whether a wafer needs to be replaced or not(i.e., whether it is working or not) based on the inputs from various sensors. There are two classes: +1 (working condition) and -1 (Not working to replace)
Wrangled 590 columns with File validation and data validation is done based on master data management and source of truth.
This application has the ability to choose an ML algorithm based on the cluster of the dataset.
A sample data is divided into clusters and multiple models are created dynamically by the system.

Social Media Launcher

A Social Media Extension based on JavaScript

Accomplishments

Tools: CSS, Html, JavaScript, ReactJs
Simple Chrome Extension for a quick launcher to all social media profiles at one click using javascript libraries .
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