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Generative AI Engineer with 1+ years in AI/ML applications and RAG pipelines
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AI/ML engineer with hands-on experience building production-grade AI applications — including RAG pipelines with vector databases, LLM-integrated systems, and autonomous AI agents. Skilled in Python, Docker, and API-driven architectures, with a strong foundation in deep learning, NLP, and computer vision. Eager to build AI-powered applications and chatbots as a Generative AI Engineer.
FAST National University of Computer and Emerging Sciences (FAST-NUCES)
Bachelors in Artificial Intelligence · Artificial Intelligence
N/A – June 30, 2026
Fast Quran and Sunnah Society (FQSS)
Co-lead Creatives
August 1, 2024 – June 30, 2025
Islamabad, Islamabad Capital Territory, Pakistan
Ml Labs
AI Game Developer
June 1, 2024 – August 31, 2024
India
Story2Audio Microservice
June 1, 2025 – June 30, 2026
Built a production-ready gRPC microservice leveraging Suno for high-fidelity text-to-audio generation, processing requests in under 3 seconds average latency. Containerized with Docker and automated a CI/CD pipeline via GitHub Actions, cutting deployment time from a manual ~20 minutes to under 4 minutes per release.
View ProjectAgentic Flight Booking System
June 1, 2025 – June 30, 2026
Developed an autonomous agent using n8n and Docker to automate end-to-end flight searches and bookings via API integrations. Engineered multi-step reasoning loops for real-time data retrieval and decision-making.
View ProjectAudioGuard
June 1, 2025 – June 30, 2026
Developed a state-of-the-art forensic system utilizing the AASIST3 architecture and XLS-R 300M (Wav2Vec2) to detect synthetic audio. Built a RAG pipeline that retrieves the latest deepfake-related news and stores it in a vector database, grounding forensic reports in up-to-date, real-world context. Added explainability using Grad-CAM to visualize acoustic artifacts and localized manipulation heatmaps for forensic reporting and legal redirection.
View ProjectCultural Fit Analysis
The candidate's project diversity, ranging from audio generation and deepfake detection to agentic systems, demonstrates a broad interest and adaptability within the AI domain. The 'Co-lead Creatives' role, while not technical, shows engagement in extracurricular activities and leadership potential. The target role of 'Generative AI Engineer' aligns well with the candidate's project focus and stated interests, indicating a strong cultural fit for an innovative AI-centric environment.
Soft Skills & Operational Fit
The candidate's experience as 'Co-lead Creatives' and involvement in a large event suggests leadership, teamwork, and cross-functional coordination skills. The 'AI Game Developer' role indicates problem-solving and optimization skills in a real-time environment. These experiences suggest a candidate who can collaborate effectively and manage project aspects beyond pure technical implementation.