Turning messy data into clear decisions — and complex AI concepts into lessons anyone can follow.
I'm a Technical Content Engineer at Data Science Dojo, working in AI Product Engineering & Technical Content — building end-to-end AI-powered product workflows, designing prompts and evaluation pipelines, and creating the technical documentation and user-facing content behind our Agentic AI and LLM product lines. Before that, a Data Science graduate who mentored analysts, taught kids to code, and built an aerial surveillance pipeline with NESCOM.
A curious mind with a love for data, code, creativity — and the gym.
Skilled at engineering AI product systems, analyzing data, and simplifying technical concepts for diverse audiences.
Hi, I'm Hiba Imran — a Data Science graduate now working as a Technical Content Engineer at Data Science Dojo (Official Title), in the area of AI Product Engineering & Technical Content — building AI-powered product workflows using LLMs, designing prompts and evaluation pipelines, and creating technical documentation and user-facing content for our Agentic AI and LLM course products. I got promoted from Associate I to Associate II within three months of joining. Before this, I worked as a Data Analyst at Fortray UK, delivered STEM workshops to children, created SEO-focused technical content, and managed complex student workflows.
But I'm not all prompts and Python scripts. Outside of work, I've taken on leadership roles in student societies, organized national-level tech events, taught programming to young learners, and dabbled in everything from web scraping to neural networks.
I'm also deeply into fitness — the gym is my therapy and my power source. Recently I've started getting into tennis and short-distance running, and I'm loving the discipline, focus, and adrenaline they bring (kinda like debugging, but with more sweat and fewer semicolons).
Currently
- Technical Content Engineer (Associate II), Data Science Dojo
- B.S. Data Science, FAST NUCES Islamabad (2025)
Open to
- Collaborations & side projects
- AI product engineering & data science work
- Interesting problems in ML / LLM tooling
Languages
Experience
From building AI-powered product systems to tutoring and administrative coordination, my experience spans AI product engineering, technical content, data analytics, education, and media.
AI Product Engineering & Technical Content
Responsibilities
- Built AI-powered product workflows using LLMs.
- Designed prompts, evaluation pipelines, and AI features.
- Collaborated on product design and feature development.
- Created technical documentation and user-facing content.
- Worked with Python, APIs, automation, and AI tooling.
Impact
- Reduced revision cycles through iterative prompt and system engineering
- Promoted from Associate I to Associate II within three months, based on performance
Developing AI-assisted product features
Responsibilities
- Developed AI-assisted product features for Agentic AI and LLM courses
- Collaborated with senior product engineers to automate production workflows
- Built practice-activity features for all curriculum modules, ensuring complete coverage
Impact
- Consistent, complete module coverage across the product
- Performance led to promotion to Associate II within three months
Turning engagement data into marketing insight
Responsibilities
- Analyzed user engagement and marketing data to identify optimization opportunities for digital campaigns
- Built SQL queries and Tableau dashboards to visualize KPIs and track learner performance trends
- Supported marketing and product teams with insights on user behavior and content performance
Impact
- Informed campaign optimization decisions through data-driven insight
- Gave product teams clearer visibility into learner performance trends
Teaching beginner programming to young learners
Responsibilities
- Designed and delivered interactive coding lessons
Impact
- Inspired new coders by simplifying complex topics
Coordinating admissions during peak enrollment
Responsibilities
- Maintained applicant databases and analyzed admissions metrics
Impact
- Helped reduce applicant response time during a high-pressure period
Supporting a core CS course
Responsibilities
- Managed grading and tutorial sessions for 100+ students
Impact
- Improved class performance with tailored academic support
Writing for a digital gaming audience
Responsibilities
- Produced SEO-focused technical content, news articles, and how-to guides
- Applied SEO best practices — keyword research, metadata, internal linking
Impact
- Improved article reach through targeted content strategy
Live coding sessions & curriculum design for ages 6–15
Responsibilities
- Developed Python and ML learning content
- Delivered workshops on Scratch, Python, Data Science, and ML
- Created interactive lesson plans, quizzes, and live demos
Impact
- Boosted student confidence through project-based learning
Projects
A working log of things I've built — spanning programming, data science, machine learning, and full-stack development.
Final Year Project — SAFEAI
An AI-driven aerial surveillance system built with NESCOM, enhancing object detection, tracking, and re-identification. See full write-up →
Prompt Doctor
Full-stack AI web app that diagnoses and scores AI prompts (0–100), identifies weaknesses across 5 dimensions, and generates improved versions. View on GitHub →
Agentic Researcher
AI-powered research tool that conducts web searches, synthesizes findings, and generates comprehensive reports. Automates research workflows for rapid information gathering. View Live →
Agentic Post Generator
AI assistant that transforms raw ideas into polished social media posts across multiple platforms. Handles tone adaptation and format optimization. View Live →
Agentic Blog Generator
Generates full-length blog posts with structured sections, SEO optimization, and consistent tone. Creates publication-ready content from topic prompts. View Live →
Task Executor
Interactive task management system with real-time updates, priority sorting, and progress tracking. Streamlines workflow organization. View Live →
Live Product Recommender System
Real-time recommendation engine using Spark streaming and collaborative filtering, with MongoDB storage.
Mental Health Chatbot
A text-based chatbot for mental health support, using TF-IDF vectorization for response ranking.
Forecasting System
A statistical forecasting platform combining ML models and visualization for time series data.
Interactive Visualizations
Interactive, responsive visualizations for exploring large textual datasets.
Airbnb Price Prediction — NYC
ML project on the Airbnb NYC 2019 dataset — EDA, feature engineering (neighbourhood group, room type, minimum nights, reviews, availability), and price prediction with Random Forest and XGBoost, plus an optional Folium map of listings.
LLM Project
A multi-page Streamlit app for exploring LLM workflows, built alongside my product engineering work on Agentic AI/LLM offerings. View on GitHub →
Chef Performance Dashboard
Interactive Tableau dashboards designed to analyze marketplace and chef performance metrics.
Sentiment Analysis
An NLP tool for sentiment classification, with text preprocessing and analysis pipelines.
Smart Clinical System
A clinical data management system focused on improving patient record access and administration.
K Shortest Path Algorithm
Parallel implementations of the K-shortest path algorithm across two parallel computing models.
Neural Network Implementation
Simulated neural network behavior using multithreading and process management concepts.
Welcome Party Management System
Event logistics, guest tracking, and resource allocation, backed by relational data storage.
Grocery Management System
Inventory, billing, and record management built with C++ and file handling.
Cricket Game
A playable cricket game focused on object-oriented logic and class design.
Brick Breaker Game
A classic arcade game built in Assembly as part of a group project.
Skills
A diverse set spanning programming, data analytics, development frameworks, and the soft skills that keep a project moving.
Programming Languages
- Python — data analysis, ML, web apps
- C++ — OOP concepts, game development
- R — statistical computing and plotting
- SQL — data querying and manipulation
- Assembly Language — low-level project work
- HTML, CSS — basic web design
Data Science & Analytics
- Data cleaning & preprocessing (Pandas, NumPy)
- Visualization (Seaborn, Matplotlib, D3.js, Tableau, Google Data Studio)
- Statistical analysis & forecasting (Statsmodels, R, TensorFlow)
- Machine learning (scikit-learn, TensorFlow, Keras)
- NLP (TF-IDF, NLTK, basic models)
- Data warehousing (Snowflake, dbt)
- Big data (Hadoop, Spark, Kafka)
Tools & Frameworks
- Frontend: HTML, CSS, Angular, React.js
- Backend: Node.js, Express.js, Flask
- Databases: MongoDB, SQL
- Visualization: Tableau, D3.js
- APIs: RESTful APIs, Flask
- DevOps: Git, GitHub, Colab, Jupyter
Technical Skills
- Prompt engineering & AI product pipelines
- Agentic AI workflows & Model Context Protocol (MCP)
- Web scraping (BeautifulSoup, Selenium)
- Neural network implementation (project-level)
- Parallel computing (MPI, OpenMP)
- Project management (Trello, Notion, JIRA)
- Software engineering fundamentals
- IDEs: VS Code, Jupyter, PyCharm
Writing & Teaching
- SEO writing (keyword optimization, readability)
- Technical documentation
- Blogging & guide writing (gaming, tech, tutorials)
- Curriculum design for STEM topics
- Beginner-friendly programming instruction
- Simplifying concepts for ages 6–15
Soft Skills & Languages
- Effective communication
- Leadership & team management
- Problem solving & creative thinking
- Time management
- English — fluent
- Urdu — native
Leadership & Societies
Alongside academics, I've taken on leadership roles in student societies and large-scale campus events — building skills in leadership, marketing, operations, and creative strategy.
Leading creative direction for the society
Responsibilities
- Oversaw all media, branding, and design efforts
- Managed a multidisciplinary team on events and campaigns
- Promoted from Head of Creatives on strong performance
Impact
- Revamped digital branding and boosted engagement
- Helped onboard and mentor new creative members
Promoting one of Pakistan's largest student tech events
Responsibilities
- Developed marketing strategy across social, email, and print
- Collaborated with sponsors and university departments
Impact
- Increased registrations and visibility via targeted campaigns
Running logistics for an international IEEE conference
Responsibilities
- Coordinated registrations, scheduling, and volunteers
Impact
- Contributed to a seamless multi-day event execution
Capturing and curating event coverage
Responsibilities
- Live photography, video editing, and promotional reels
Impact
- Delivered high-quality content that increased post-event reach
Co-hosting a campus photography competition
Responsibilities
- Planning, promotion, logistics, and award distribution
Impact
- Brought creative students together to showcase their work
SAFEAI — Aerial Surveillance System
Enhanced object detection, tracking, and re-identification for high-altitude aerial surveillance applications.
SAFEAI
YOLOv8 · Faster R-CNN · SAHI · Python — in collaboration with NESCOMDeveloped an AI-driven system for enhanced object detection, tracking, and re-identification in high-altitude aerial surveillance. The project applies deep learning models (YOLOv8, Faster R-CNN) alongside smart augmentation techniques (SAHI) to increase detection accuracy across large-scale aerial datasets.
Key Features
- Real-time object detection in aerial views
- Object re-identification across frames
- Advanced model fusion and tuning for high accuracy
- Built with practical use cases in national defense and surveillance
What I Did
- Designed the model pipeline
- Optimized real-time detection accuracy
- Worked on deployment and testing with real-world datasets
Certification
Fun Facts About Me
I go by "hibs" a lot — feel free to call me that.Let's connect
Open to collaborations
I'm open to collaborations, internships, or exciting data science projects. Reach out through any of the channels below.
Quick facts
- B.S. Data Science — FAST NUCES Islamabad
- Based in Rawalpindi, Pakistan
- Fluent in English & Urdu
- Currently a Product Engineer at Data Science Dojo