Abubakar Imran
NUST
· 2026
Email
abubakarimran1043@gmail.com
Phone
03170447751
GitHub
—
Academic
Program
BSCS
CGPA
3.18
Year
2026
Education
SEECS
Address
553-RAVI BLOCK , Allama iqbal town , Lahore , Pakistan
DOB
—
Career
Current role
—
Target role
—
Skills
LangGraph, LangChain, TensorFlow, PyTorch, Prompt Engineering, Pandas, NumPy, Matplotlib, Seaborn, OpenCV, FastAPI, NextJS, ReactJS, JavaScript, TypeScript, Supabase, Node.js, ExpressJS, Tailwind, Bootstrap, CSS, HTML, MongoDB, MySQL, PostgreSQL, VectorDB, Git, GitHub, Docker, DVC, MLflow, CI/CD Basics, C, C++, Java, Python
Verbatim text
The exact text the LLM saw on the page (or the booklet text from the old import).
This is what powers semantic search.
Abubakar Imran Cell: 03170447751 | Email: abubakarimran1043@gmail.com LinkedIn: https://www.linkedin.com/in/abubakar-imran-/ Address: 553-RAVI BLOCK , Allama iqbal town , Lahore , Pakistan PROFESSIONAL PROFILE Software Engineer with strong experience across Full-Stack Development and AI/ML systems. Skilled in building scalable web applications using Next.js, React, TypeScript, MERN stack, and FastAPI, alongside developing AI solutions involving computer vision, NLP, LLMs, and Retrieval-Augmented Generation systems. Experienced in research-driven environments, automation pipelines, and real-world AI deployments. Adept at translating complex requirements into reliable, production-ready solutions with a focus on performance, usability, and maintainability. Skills: AI/ML: LangGraph, LangChain, TensorFlow, PyTorch, Prompt Engineering, Pandas, NumPy, Matplotlib, Seaborn, OpenCV, FastAPI Development: NextJS, ReactJS, JavaScript, TypeScript, Supabase, Node.js, ExpressJS, Tailwind, Bootstrap, CSS, HTML Databases: MongoDB, MySQL, PostgreSQL, VectorDB Version Control and Languages: Git, GitHub, Docker, DVC, MLflow, CI/CD Basics, C, C++, Java, Python EDUCATION Bachelor of Science in Computer Science SEECS, National University of Sciences and Technology (NUST) , Islamabad , 3.18 (2026) INTERNSHIP EXPERIENCE Soft Pyramid (AI Development Intern) 10-Jun-2024 - 03-Sep-2024 Trained Llama3 on company policies using OpenWebUI, enabling HR to retrieve information efficiently through natural language interaction. Work on automating employee attendance system by integrating Llama3, allowing seamless leave requests and attendance tracking. Implemented Retrieval-Augmented Generation (RAG) using LangChain for accurate document-based question answering. SimpleTalk.AI (AI Automation and Prompt Specialist) 16-Jun-2025 - 03-Oct-2025 Designed and optimized prompts for multi-channel AI agents, including voice, chat, SMS, and email, to enhance accuracy and user engagement. Developed and tested LLM-driven conversational workflows, ensuring consistent, context-aware interactions across platforms. Built automation pipelines using GHL to streamline business operations. CODSOFT (Web Development Intern) 01-Aug-2023 - 30-Sep-2023 Developed and maintained core features of an e-commerce platform using the MERN stack. Built secure user account, product management, and order processing modules to enhance customer experience. Implemented an admin dashboard for efficient product and order management. Machine Vision & Intelligent Systems Lab 01-Dec-2024 - 30-Apr-2025 Developed deep learning models for Land Use Land Cover (LULC) classification and crop mapping using remote sensing imagery and hybrid LSTM architectures for temporal data analysis. Evaluated model performance across temporal and regional domains to assess generalization and transferability.
AI enrichment
Abubakar Imran is a Computer Science student at NUST with a 3.18 CGPA, specializing in Full-Stack Development and AI/ML systems. He has internship experience in building RAG applications, optimizing LLM workflows, and developing MERN stack web applications. His technical background includes proficiency in Python, JavaScript, and various AI frameworks.
Skills (AI)
["Next.js", "React", "TypeScript", "Python", "FastAPI", "LangChain", "LangGraph", "TensorFlow", "PyTorch", "MERN Stack", "PostgreSQL", "MongoDB", "Docker", "Git", "Prompt Engineering", "RAG", "Computer Vision", "NLP"]
Status: ai_done