Abubakar Imran
NUST
· 2026
·
412028
Email
abuimran.bscs22seecs@seecs.edu.pk
Phone
03170447751
GitHub
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Academic
Program
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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
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Career
Current role
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Target role
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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