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Software Engineer with less than a year in Full-Stack, AI, and DevOps
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Software Engineer with hands-on experience spanning full-stack development, cloud infrastructure, and AI engineering. Proficient in Python and Java, with a proven capability in building scalable applications using React, Node.js, Spring Boot, and Flutter. Skilled in orchestrating containerized deployments via AWS, Docker, Kubernetes, and CI/CD pipelines, while leveraging tools like PyTorch and MLflow to seamlessly integrate robust software architecture with automated MLOps pipelines.
FAST – National University of Computer and Emerging Sciences
BS · Software Engineering
August 1, 2022 – December 1, 2026
The City School E-11 Campus
GCE A-Level · Computer Science
August 1, 2020 – August 1, 2022
The City School E-11 Campus
GCE O-Level · Pre-Engineering
August 1, 2017 – August 1, 2020
¡ENGINEERING
DevOps Intern
July 1, 2025 – August 1, 2025
Islamabad, Islamabad Capital Territory, Pakistan
Clouditecture
MERN Stack Developer
November 1, 2024 – February 1, 2025
India
ProtectLab
Python Tool Dev
July 1, 2024 – August 1, 2024
Islamabad, Islamabad Capital Territory, Pakistan
DeepTrust: Multi-Modal Deepfake Detection Platform
February 1, 2026 – Present
Multi-modal deep learning pipeline for real-time video forensic analysis. Architected an end-to-end multi-modal pipeline using spatial-temporal deep learning models to detect advanced facial and digital media manipulations. • Optimized real-time video preprocessing and facial feature extraction, significantly reducing inference latency for live media streams.
Real-Time ETL & Automated Retraining MLOps Engine
November 1, 2025 – December 1, 2025
Real-time ETL and continuous training (CT) infrastructure for predictive models. • Orchestrated a data-driven ETL and automated model retraining pipeline using Astronomer and Airflow to seamlessly handle real-time data ingestion. • Deployed Python inference models within Docker containers via a custom CI/CD pipeline, utilizing MLflow for end-to-end experiment tracking and versioning.
CI/CD Driven Kubernetes Deployment of MERN App
May 1, 2025 – May 1, 2025
An automated orchestration and CI/CD pipeline for scaling full-stack applications. • Automated MERN deployments on Kubernetes (Minikube) via a custom CI/CD pipeline, utilizing self-hosted GitHub Actions for rapid image builds. • Architected modular K8s manifests with persistent storage, ensuring reliable service integra-tion and 100% automated rolling updates.
Face Mask Detection System
May 1, 2025 – May 1, 2025
A lightweight, real-time CV pipeline engineered from scratch using PyTorch. • Engineered a custom PyTorch SSD from scratch, optimizing for high-performance, real-time detection on resource-constrained hardware. • Implemented advanced training logic (IoU matching, mixed-precision) to speed up model convergence and integrated OpenCV for seamless inference visualization.
Python Power-Up
Microsoft Learn Student Ambassadors - AUP
June 1, 2026 – Present
Code Craft Programming Competition
NaSCon'24 and FAST-NUCES
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and internships demonstrate a strong interest in diverse technical areas including AI/ML, DevOps, and full-stack development. This breadth of interest and willingness to explore different domains suggests adaptability and a growth mindset, which are positive indicators for cultural fit. Participation in programming competitions also highlights a competitive and driven nature. However, the experience level is still junior, and cultural fit for a senior role would depend on leadership potential and mentorship capabilities, which are not evident from the provided data.
Soft Skills & Operational Fit
The candidate's project descriptions suggest an ability to work on complex, multi-faceted problems (e.g., multi-modal deepfake detection, real-time ETL). The academic background and project diversity indicate a proactive and learning-oriented individual. However, with limited professional experience, the operational fit for a senior role would require further assessment of problem-solving under pressure and collaboration within a team.