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AI Engineer with less than a year in LLMs, RAG & Multi-Agent Systems.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI Engineer with practical experience in designing and deploying intelligent systems. Proficient in developing autonomous AI agents, optimizing NLP and Deep Learning pipelines, and building enterprise-grade REST APIs for machine learning models. Skilled in data preprocessing, model training, and collaborating within Agile environments, with a strong focus on innovative solutions in augmented reality, conversational AI, and pose estimation.
HITEC University, Taxila
Bachelor of Science · Computer Science
August 1, 2022 – June 30, 2026
AI Skillbridge
AI Trainee
July 1, 2025 – November 30, 2025
India
DevelopersHub
Machine Learning Intern
December 1, 2024 – February 28, 2025
India
Real-Time AR Virtual Try-On System (Final Year Project)
June 24, 2026 – Present
• Designing an interactive augmented reality platform executing 2D and 3D clothing overlays utilizing cutting-edge diffusion models. • Integrating YOLOv11 pose estimation pipelines to accurately track human body keypoints in real-time with precise spatial mapping and minimal runtime latency.
AI Job Interview Coach
June 24, 2026 – Present
• Developed an interactive multi-agent system using CrewAI framework to orchestrate autonomous recruiter, interviewer, and evaluator personas. • Engineered a fully interactive Streamlit web application frontend tied to a FastAPI backend delivering granular, automated performance analysis dashboards.
Knowledge-Base RAG Chatbot (Study Buddy)
June 24, 2026 – Present
• Implemented a comprehensive Retrieval-Augmented Generation (RAG) infrastructure utilizing LangChain for semantic querying over dense internal documentation. • Integrated vector database structures to manage custom document chunking strategies, high-dimensional text embeddings, and context retrieval workflows.
View ProjectCultural Fit Analysis
The candidate's projects demonstrate a strong interest in cutting-edge AI technologies (AR, multi-agent systems, RAG chatbots) which aligns well with an innovative, AI-focused culture. The diversity of projects (academic, personal) and the use of various frameworks (LangChain, CrewAI, FastAPI, TensorFlow, PyTorch) indicate adaptability and a willingness to explore different domains within AI. However, the limited professional experience (two internships) means the depth of cultural integration in a long-term team setting is yet to be fully proven.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex, interactive systems and collaborate in Agile environments. The focus on real-time systems and performance optimization suggests an operational mindset. However, without specific psychometric or English test results, a comprehensive assessment of soft skills and operational fit is limited.