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AI Engineer with 1+ years in LLMs & Machine Learning
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 experience in developing autonomous Agentic AI systems, NLP pipelines, and machine learning models. Proficient in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Multi-Agent Systems, Computer Vision, and Pose Estimation. Skilled in frameworks like LangChain, CrewAI, FastAPI, and TensorFlow, with a strong background in Python and C++ programming.
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
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.
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.
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.
Cultural Fit Analysis
The candidate's project diversity (AR, multi-agent systems, RAG chatbots) and internship experiences align well with an innovative and fast-paced AI engineering environment. The use of modern frameworks like LangChain, CrewAI, and FastAPI suggests an interest in current industry trends. However, the academic background with a 2.8/4.0 CGPA might indicate a need for further validation of theoretical depth.
Soft Skills & Operational Fit
The candidate demonstrates collaboration skills through Agile sprint cycles and Git version control. Project descriptions indicate an ability to work on complex, interactive systems. However, without specific psychometric or English test results, a comprehensive assessment of soft skills and operational fit is limited.