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Entry-level AI Engineer with strong programming and machine learning skills, eager to develop next-g
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Motivated Computer Science student specializing in machine learning and Agentic AI systems, with solid experience in programming and algorithm design. Interested in building autonomous, learning-driven solutions that combine reasoning, optimization, and scalable software architecture. Eager to contribute to forward-thinking teams developing next-generation AI applications.
National University of Computer and Emerging Sciences (FAST NUCES)
Bachelor's in Computer Science · Computer Science
N/A – June 30, 2026
The Scholars Science College
Pre-Engineering
N/A – Present
Software Developer and IT Manager
Software Developer and IT Manager
August 1, 2025 – Present
India
Developer's Hub
Full Stack Developer Intern
June 1, 2025 – Present
India
Traffic System
June 27, 2026 – Present
Simulated a multi-lane traffic system using multithreading in C++. Managed synchronization with mutexes and semaphores to prevent deadlocks. Showcased real-time vehicle interaction and intersection control using a producer-consumer model.
PixFrame AI - Multi-Agent Generative Video Creation System
June 27, 2026 – Present
Developed an end-to-end multi-agent AI platform that transforms a single text prompt into a complete animated short film. Implemented modular LLM-driven workflows for story generation, scene planning, character creation, voice synthesis, image generation, and automated video composition. Built a web-based interface for real-time pipeline orchestration, progress tracking, and output preview, along with an AI-powered edit agent supporting natural language modifications, targeted regeneration, version history, and undo/revert functionality.
View ProjectIntelligent E-Commerce Ad Creative Generator (Generative AI + MLOps)
June 27, 2026 – Present
Built a Generative AI system that automatically creates marketing ad creatives from product metadata using a fine-tuned LLM. Designed a production-grade MLOps pipeline with MLflow experiment tracking, CI/CD automation, Dockerized microservices, and real-time monitoring via Prometheus and Grafana.
Syntest - API testing Application
June 27, 2026 – Present
Developed a multi-agent AI platform that automates API test generation, functional validation, security scanning (OWASP Top 10), and load testing. Implemented intelligent test case generation from OpenAPI specifications with automated data provisioning and continuous monitoring dashboards.
Cultural Fit Analysis
The candidate's portfolio showcases a strong inclination towards cutting-edge AI technologies and complex system development, which aligns well with an AI Engineer role. The diversity of projects, from API testing to generative video creation, demonstrates a broad interest and ability to apply AI concepts across different domains. The use of modern MLOps tools and cloud-native technologies indicates a readiness to work in a contemporary, agile development culture. The candidate's academic background and project work suggest a strong drive for continuous learning and innovation.
Soft Skills & Operational Fit
The candidate's project descriptions indicate strong problem-solving abilities, particularly in complex system design and integration. The focus on autonomous, learning-driven solutions suggests a proactive and innovative mindset. The ability to manage synchronization in multithreaded systems points to careful attention to detail and robust engineering practices. The candidate's objective statement highlights an eagerness to contribute to forward-thinking teams, aligning well with dynamic operational environments.