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Hafiz Badar Ur Zaman

NUST · 2026
Email
hbrsadiqian123@gmail.com
Phone
923024508885
LinkedIn
https://www.linkedin.com/in/badar-ur-zaman/
GitHub

Academic

Program
Software Engineering
CGPA
3.07
Year
2026
Education
School of Electrical Engineering & Computer Science
Address
DHOLAN HITHAR P/O KHAS TEHSIL & DISTRICT KASUR , Khudian khas , Pakistan
DOB

Career

Current role
Target role
Skills
MERN stack, backend engineering, API-driven systems, RESTful services, JWT, OAuth 2.0, role-based access control, React, Node.js, Express, MongoDB, Flask, Django, machine learning, deep reinforcement learning (DRL), neural networks, optimization techniques, Twilio, Pipedrive, Monday.com, cloud functions, webhooks, Zapier, Make.com, JavaScript, Python, HTTP methods, GraphQL, Docker

Verbatim text

The exact text the LLM saw on the page (or the booklet text from the old import). This is what powers semantic search.
Hafiz Badar Ur Zaman
Cell: 923024508885 |  Email: hbrsadiqian123@gmail.com
LinkedIn: https://www.linkedin.com/in/badar-ur-zaman/
Address: DHOLAN HITHAR P/O KHAS TEHSIL & DISTRICT KASUR , Khudian khas , Pakistan
PROFESSIONAL PROFILE
Software engineer with strong full-stack development expertise and a solid research background in machine learning and deep
reinforcement learning (DRL). Proficient in the MERN stack and backend engineering, with hands-on experience designing and
developing API-driven systems, RESTful services, JWT and OAuth 2.0–based authentication, role-based access control, and third-
party integrations. Completed production-focused internships at both US-based and local companies, gaining exposure to on-site,
hybrid, and remote environments while contributing to CRM systems, automation workflows, and cloud-based services using React,
Node.js, Express, MongoDB, Flask, and Django.
Possesses over eight months of research experience in machine learning and DRL, covering problem formulation, model design,
experimentation, and analytical evaluation. Actively involved in academic research, including drafting, reviewing, and contributing to a
research publication. Strong foundation in neural networks, optimization techniques, and applied machine learning, with the ability to
translate theoretical research into practical, deployable systems.
EDUCATION
Software Engineering
School of Electrical Engineering & Computer Science , Islamabad , 3.07/4.00 (2026)
INTERNSHIP EXPERIENCE
Arrivy
10-Jun-2024 - 25-Aug-2024
During my internship at Arrivy, I directly contributed to live projects that streamlined the company's operations and enhanced client
communication: Practical Projects: 1. WhatsApp Integration: Facilitated client communication through WhatsApp by integrating Twilio
with Flask. 2. Pipedrive & Monday.com Integration: Developed a key integration for the sales department using Node.js, cloud
functions, webhooks, and API documentation from Pipedrive and Monday.com. 3. Email Extension: Created an extension to
automate copying emails on Gmail and updating items on Monday.com, significantly improving workflow efficiency. Learning Session:
The first four weeks were dedicated to mastering essential web development concepts, including HTTP methods, status codes, URL
structures, CORS, authentication mechanisms (JWT, OAuth, OAuth 2.0), REST, GraphQL, Docker, and cloud functions. I applied
these skills by developing: 1. A Car Management System using Flask 2. A Note-Taking App in Django 3. OAuth2 Server and Provider
implementations for both projects
Proto IT Consultants
23-Sep-2024 - 17-Jan-2025
Working part-time (5 hours daily) as an Integration and Automation Specialist, focusing on optimizing business workflows and
automating processes. Zapier & Make.com Proficiency: Expertly designing and refining complex workflows using Zapier and
Make.com, streamlining operations across multiple platforms. Improved overall workflow efficiency by automating key business tasks,
reducing manual efforts by over 50%. HTTP Knowledge: Applied a deep understanding of HTTP request methods (GET, POST,
PUT, DELETE) to manage data exchange between platforms efficiently. Programming Skills: Utilized JavaScript and Python for
custom API integration and automations, creating tailored solutions for specific business needs. Improved task processing speed and
reliability through optimized API handling. Key Accomplishment: Designed an end-to-end automation system that enhanced the
productivity of cross-functional teams by reducing the time spent on manual tasks by 30%.
Integry
03-Feb-2025 - 02-May-2025
As an API Integration Specialist at Integry, I work on enabling seamless integrations for customers by simplifying API interactions. My
key responsibilities include: Providing customers with ready-to-use cURL commands that, when executed in tools like Postman, send

AI enrichment

Hafiz Badar Ur Zaman is a Software Engineering student with experience in full-stack development using the MERN stack and backend technologies like Flask and Django. He has completed internships focused on API integration, automation workflows, and research in machine learning and deep reinforcement learning.
Skills (AI)
["React", "Node.js", "Express", "MongoDB", "Flask", "Django", "RESTful APIs", "GraphQL", "JWT", "OAuth 2.0", "Docker", "Zapier", "Make.com", "Twilio", "Pipedrive", "Monday.com", "Machine Learning", "Deep Reinforcement Learning", "Python", "JavaScript"]
Status: ai_done
Provenance
Source file: SEECS - Software Engineering-2026(1).pdf
From job #260 page 54
Created: 1778138736