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Abubakar Imran

NUST · 2026 · 412028
Email
abuimran.bscs22seecs@seecs.edu.pk
Phone
03170447751
LinkedIn
https://www.linkedin.com/in/abubakar-imran-
GitHub

Academic

Program
CGPA
3.18
Year
2026
Education
Bachelor of Science in Computer Science SEECS, National University of Sciences and Technology (NUST) , Islamabad , 3.18 (2026)
Address
553-RAVI BLOCK , Allama iqbal town , Lahore , Pakistan
DOB

Career

Current role
Target role
Skills
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

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
Status: ai_done
Provenance
Source file:
Created: 1777448792