AI Engineer with 1+ years in deep learning, LLMs, and agentic AI systems.
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Artificial Intelligence undergraduate with practical experience in deep learning, LLM architectures, and agentic AI systems. Experienced in building multi-agent LangGraph pipelines and RAG workflows.
Ghulam Ishaq Khan Institute of Engineering Sciences and Technology (GIKI)
BS · Artificial Intelligence
January 1, 2022 – January 1, 2026
10Pearls
Data Science Intern
January 1, 2025 – June 1, 2026
India
Multi-Agent Agriculture Advisor System (LangGraph + RAG)
June 24, 2026 – Present
Implemented an Agricultural Researcher Agent that queries a local vector database using custom embedding search tools alongside fallback web-search APIs to extract verified data and calculate estimated crop yields. Orchestrated an Agricultural Report Writer/Analyst Agent to synthesize raw findings into actionable, structured reports and generate polished, user-facing insights. Integrated automated communication workflows with safety-critical tools, implementing a Human-in-the-Loop (HITL) approval system for simulated email dispatches.
View ProjectEmail Query Agent (LangChain + Groq)
June 24, 2026 – Present
Built an agentic email assistant to fetch Gmail messages for a selected date, index them into a vector database, and answer natural-language queries using LangChain RetrievalQA with Groq LLM. Integrated Chroma/FAISS vector store for semantic retrieval and optimized query response pipeline. Developed an interactive Streamlit-based UI for date selection and conversational Q&A. Managed API keys, environment configuration, and dependency setup for reproducible deployment.
View ProjectSmart Classroom Attendance System Using YOLOv11
June 24, 2026 – Present
Designed a real-time classroom attendance system using YOLOv11-based object detection. Detected and tracked students from live video streams using a YOLOv11-based model, achieving 89% detection accuracy. Achieved mAP@0.5: 91% with real-time inference at 25+ FPS.
View ProjectDiabetic Retinopathy Detection (Deep Learning)
June 24, 2026 – Present
Built a 5-class retinal disease classifier using pretrained ResNet50. Achieved 80% test accuracy through fine-tuning and preprocessing.
View ProjectTraffic Sign Recognition System
IEEE Xplore
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects show a strong interest in diverse AI applications, from agriculture to computer vision and NLP, which aligns well with an innovative and research-oriented culture. The internship at 10Pearls indicates exposure to a professional development environment. However, the candidate is still an undergraduate, and their experience is primarily academic, which might require mentorship to fully integrate into a fast-paced industry setting. The breadth of skills and project diversity suggest adaptability.
Soft Skills & Operational Fit
The candidate demonstrates collaboration skills through team projects and internship experience. The involvement in academic societies suggests leadership potential and organizational skills. The project descriptions indicate an ability to translate technical concepts into practical applications. However, without specific psychometric or English test scores, a comprehensive assessment of stress handling, logical reasoning, and professional communication clarity is limited.