Software Engineer with less than a year in AI/ML and backend development
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8th semester student from UET Lahore (GPA 3.47) with hands-on experience building backend APIs, multi-agent LLM systems, and AI-driven platforms. Proficient in Django, FastAPI, LangGraph, and LangChain. Seeking backend, AI engineering, or junior SE roles where I can contribute to production-grade systems.
University of Engineering & Technology
Bachelor of Science · Computer Science
September 1, 2021 – June 1, 2026
Agentified Marketing Automation Platform
January 1, 2025 – June 1, 2026
Built an AI-driven SaaS platform orchestrating a multi-agent pipeline (Creator, Critic, Strategist layers) using LangGraph to automate full marketing lifecycles across X and LinkedIn. Implemented a Generative Engine Optimization (GEO) pipeline to adapt content structure and phrasing for LLM-based search engines (ChatGPT, Perplexity), increasing content discoverability beyond traditional SEO. Engineered a Style Encoder extracting 24 stylistic features (formality, sentiment, lexical diversity) to ensure brand voice consistency in all AI-generated content. Implemented async task scheduling with Celery and Redis for automated posting and hourly analytics, supporting high-concurrency operations.
Image Classification with Zero Trust Security
January 1, 2024 – December 31, 2024
Built a full-stack adversarially robust image classification system on CIFAR-10 using a ResNet20 model, maintaining 91.84% accuracy on clean images after adversarial training. Improved model robustness against FGSM adversarial attacks by 30.93% (accuracy from 40.78% to 71.74%), by training on both clean and perturbed examples. Enforced Zero Trust security across the full stack — implemented MFA (TOTP), device fingerprinting, user-specific image encryption, role-based access control, and complete audit logging.
NetScope Network Traffic Analyzer
January 1, 2024 – December 31, 2024
Built a full-stack live network traffic analyzer capturing real-time packets using Scapy with BPF filters, classifying traffic across 6+ protocols (HTTP, HTTPS, DNS, SSH, TCP, UDP). Implemented anomaly detection for port scans, DNS tunneling, and traffic spikes alongside TCP/UDP session tracking with state monitoring and PCAP export for Wireshark compatibility. Delivered WebSocket-based live dashboard updates with real-time charts, DNS activity logs, and per-service traffic breakdown using React and D3.js.
JavaScript: The Hard Parts
Frontend Masters
January 1, 2026 – Present
Docker Fundamentals
Frontend Masters
January 1, 2026 – Present
Building RAG Agents with LLMs
NVIDIA
January 1, 2026 – Present
CUDA Programming
NVIDIA
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, including AI/ML, security, and network analysis, demonstrates a broad interest in various technical domains. This breadth, combined with competitive achievements, suggests a proactive and learning-oriented individual who could adapt well to dynamic team environments. The focus on production-grade systems in the summary aligns with a desire to contribute meaningfully.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a strong problem-solving aptitude and an ability to tackle complex technical challenges. The competitive achievements suggest a drive for excellence and performance under pressure. The academic nature of projects means real-world operational experience is limited, but the technical depth is promising.