Hi, I’m Abdul Saboor
a
Generative AI Specialist
ML Engineer
BI Developer
Product & Innovation Lead
As an innovation leader with 15 years of experience in AI-led product development, IoT, telemetry, and smart systems, I specialize in driving next-generation innovation strategies and disruptive go-to-market execution. I have built agile R&D organizations from the ground up, launched scalable IoT platforms, and pioneered hybrid communication products with global impact. My work blends data-driven decision-making, cross-functional leadership, and deep product strategy, transforming complex market and customer insights into commercially viable, high-growth solutions. I am now seeking opportunities where I can apply my innovation-focused mindset and execution strength to build and scale breakthrough technology products.
What I Do
AI Engineer
As an AI Engineer, I design and build intelligent systems that solve real business problems. I collect and clean data, choose and train suitable models (from classic ML to deep learning), evaluate them with clear metrics, and turn prototypes into usable tools or APIs. I explain results in simple terms, ensure data privacy and testing, and work with teams to integrate models into products so clients get reliable, useful solutions.
Generative AI Engineer
As a Generative AI Engineer, I create and fine-tune models that generate text, images, or audio to meet client needs. I prepare training and prompt datasets, craft effective prompts, and tune models for quality and cost. I add safety filters and guardrails, deliver demos, and integrate generation into apps via APIs. I help clients automate content, produce creative assets, summarize information, and rapidly prototype new product ideas.
Agentic AI Engineer
As an Agentic AI Engineer, I build autonomous agents that plan, act, and adapt to complete multi-step tasks on behalf of users. I design the agent’s decision loops, connect tools and APIs, set safety rules and human-in-the-loop checkpoints, and test agents in safe sandboxes. I monitor behavior, log actions, and refine strategies so agents are reliable and aligned. I help clients automate complex workflows, research tasks, and orchestrate multi-service processes safely.
My Portfolio
The Situation:
Adventure Works is a fictional global manufacturing company that produces cycling equipment and accessories, with activities stretching across three continents (North America, Europe, and Oceania). Our goal is to transform their raw data into meaningful insights and recommendations for management. More specifically, we need to:
- Track KPIs (sales, revenue, profit, returns)
- Compare regional performance
- Analyse product-level trends
- Identify high-value customers
The Data:
We’ve been given a collection of raw data (CSV files), which contain information about transactions, returns, products, customers, and sales territories in a total of eight tables, spanning from the years 2020 to 2022.
The Task: We are tasked with using solely Microsoft Power BI to:
- Connect and transform/shape the data in Power BI’s back-end using Power Query
- Build a relational data model, linking the 8 fact and dimension tables
- Create calculated columns and measures with DAX
- Design a multi-page interactive dashboard to visualize the data in Power BI’s front-end
The Process:
1. Connecting and Shaping the Data
Firstly, we imported the data into the Power Query editor to transform and clean it. The next process involved:
Removing Duplicates: Duplicate entries were removed from the dataset to ensure accurate analysis.
Handling Null or Missing Values: For some columns, missing values were replaced with defaults or averages. Null values in “key” columns were removed using filters.
Data Type Conversion: Columns were converted to appropriate data types to ensure consistency. Dates were converted to Date type, numerical columns to Decimal or Whole Numbers, and text columns to Text.
Column Splitting and Merging: Several columns were split to separate concatenated information, or merged to create a unified name (such as Customer Full Name).
Standardising Date Formats: All date columns were formatted consistently to facilitate time-based analysis. This step was important for ensuring accurate time-series analysis in Power BI.
Removing Unnecessary Columns: Irrelevant columns were removed to streamline the dataset. This helped focus the analysis on relevant information, reducing memory usage and improving performance.
2. Building a Relational Data Model
Secondly, we modeled the data to create a snowflake schema. This process involved creating relationships between the dimension and fact tables, ensuring cardinalities were one-to-many relationships.
Enabling active or inactive relationships, creating hierarchies for fields such as Geography (Continent-Country-Region) and Date (Start of Year-Start of Month-Start of Week-Date), and finally hiding the foreign keys from report view to ease the data analysis and visualization steps and reduce errors.

3. Creating Calculated Columns and Measures
Next, we used Power BI’s front-end formula language, DAX, to analyze our relational data model and create several calculated columns (for filtering) and measures (for aggregation), that we could later reference and use when analyzing and visualizing the data.
We used calculated columns to determine whether a customer is a parent (Yes/No), a customer’s income level (Very High/High/Average/Low), a customer’s priority status (Priority/ Standard), and the customer’s educational level (High School/ Undergrad/ Graduate).
The list of calculated measures is available below and includes key information on revenue, profit, orders, returns, and more.

4. Visualising the Data
The final step of the project was creating a multi-page interactive dashboard, including a range of visuals and KPIs that could serve management and lead to informed decision-making. We used several visuals and tools to demonstrate and visualize the data across the 4 report pages, including KPI cards, line and bar charts, matrices, gauge charts, maps, donut charts, and slicers. We made sure the report was fully interactive and simple to navigate, with icons used to enable filters, cancel filters, and guide users to each report page with ease. Features such as drill-through, bookmarks, parameters, and tooltips were also used throughout the dashboard, further enhancing its usefulness and impact on management.
Executive Dashboard: The first report page provides a high-level view of Adventure Works’ overall performance. We used card visuals to present Key Performance Indicators such as overall revenue, profit margins, total orders, and return rates. We also included additional cards to compare current and previous month performances, providing insights into recent trends, a line chart to visualize the trending revenue from 2020-2022 and highlight long-term performance, and presented the number of orders by product category to aid in understanding product sales distribution, and used a further table to display the top 10 products based on key indicators (total orders, revenue, and return rate).

Map: The second report page consisted of a map visual, an interactive representation of sales volume across different geographical locations. This offered insight into Adventure Works’ global sales distribution and worldwide reach.

Product Detail: The third report page focuses on detailed product-level analysis. It displayed detailed product information for the selected top 10 products from the Executive Dashboard, using the drill-through feature. It also included gauge charts presenting actual performance vs target performance of monthly orders, revenue, and profit, and included an interactive line chart to visualize potential profit adjustments when manipulating the price of the product, aiding in strategic decision-making regarding pricing strategies. This report page also included a line chart including key weekly product information on total orders, revenue, profit, returns, and return rate.

Customer Detail: The fourth and final report page provided a deeper insight into customer behavior and value. It used donut charts to break down customer groups into income level and occupation categories vs. total orders, helping in customer segmentation tactics, and used a matrix aided by KPI cards to identify high-value customers based on order and revenue contributions, aiding in identifying high-value customers and sales opportunities.

My Resume
Experience Background
Head of Product and Innovation
TPL Trakker Limited (Oct 2022 – Present)
Achievements:
- Directed AI/IoT-based solution development and HSE improvement initiatives.
- Built product governance framework with structured innovation funnel, KPIs, and risk controls. , leading to a 40%
reduction in go-to-market time for new product launches.
- Conducted AI-driven market and consumer insight analysis to guide innovation direction.
- Collaborated with HSE and compliance leads to ensure regulatory alignment across all products.
- Founded & led a new Product & Innovation department focused on AI, IoT, and telemetry solutions aligned with commercial outcomes.
- Developed and launched 10+ innovative products including hybrid GSM + Iridium trackers, smart LPG cylinder monitors, AI-enabled fuel station telemetry, and intelligent GENSET monitoring systems.
- Introduced AI applications for anomaly detection, predictive maintenance, and smart dashboards, improving operational uptime by 30%.
- Delivered consistent product availability forecasts and optimized inventory flow across regions.
- Achieved $120,000/month cost savings via design optimization and strategic sourcing.
- Built strategic innovation roadmap aligned with real-time customer demands and future market shifts.
- Secured deployments with major clients including telecom and energy giants (Telenor, MCB, ABL, MIB) across 1500+ active sites.
Key Responsibilities:
- Designed and implemented marketing and business growth strategies for a diverse portfolio of tech-driven products.
- Led end-to-end campaign planning and resource allocation, including budgeting, team planning, and promotional toolkits.
- Developed cycle-based product rollout strategies with field force communication plans.
- Collaborated with cross-functional teams (Sales, Supply Chain, QA) to ensure campaign alignment and field readiness.
- Directed training programs and developed promotional literature, toolkits, and relaunch materials in line with compliance.
- Supervised product lifecycle management using market trend analysis, competitor tracking, and forecasting models.
- Coordinated launch events, stakeholder symposiums, and field activation campaigns.
- Integrated real-time insights and field feedback into strategy iterations to maintain product relevance.
Senior Manager Engineering and R&D Services
TPL Trakker Limited (Jul 2021 – Sep 2022)
Achievements/Tasks:
- Prolifically designing, developing, and implementing IoT Solutions; Meeting the TAT of 99% Success ratio in delivering the new projects.
- Assiduously handling complex inquiries and complaints during campaigns and activities while ensuring smooth functioning.
- Proactively participating in tenders for delivering cost-effective solutions; Cost reduction of New Tracking product against market competition from $90 to $42 enabling the company to save $120,000 per month.
- Designed and developed Quality Road Map to enhance ground-level technical skills; Designed and implemented quality assurance procedures and departmental activity reports to achieve benchmarks while reducing fault ratios.
- Launched an In-house training program to enhance technicians’ skills saving the company PKR 1 Million per year; Enthusiastically conducted nationwide training sessions for R&D, technical, and sales teams; Held nationwide gap analysis of all technical activities including installation, transfer, redo & removal.
- Proactively coordinated with Finance for timely placement of banking instruments and Logistics for customs clearances.
- Conducted performance evaluations of suppliers and identified alternative supply channels to optimize category spend.
- Developed continuous improvement culture to improve productivity, effectiveness, and cost savings within the department.
Manager Engineering and R&D Services
TPL Trakker Limited (Jul 2018 – Jun 2021)
Achievements/Tasks:
- Prolifically designing, developing, and implementing testing benches as per standardized requirements, incentive plans.
- Regularly communicating with vendors for continuously improving the performance of tracking devices.
- Providing valuable support to the repair team by guiding and mentoring to timely resolve problematic issues; executing efforts for enhancing total performance.
- Astutely managing daily operations of targeted service areas for achieving higher customer satisfaction. Delivering persuasive technical presentations for new products.
Assistant Manager R&D
TPL Trakker Limited (Jul 2012 – Jun 2018)
Achievements/Tasks:
- Diligently developed product specifications and tested new devices before launch.
- Assisted manager in executing policies and procedures while strictly complying with company norms.
- Participating in research and development activities to design, develop and enhance innovative products, conduct testing, and quality assurance to make sure high quality of services is delivered to the client.
- Managed daily operations of the assigned service area to ensure smooth functioning.
Engineering Supervisor
TPL Trakker Limited (Jul 2010 – Jun 2012)
Achievements/Tasks:
- Performed the tasks of developing product specifications and providing effective recommendations in new product development as well as in new arrival devices.
- Preparing reports and repair logs, assigning tasks, managing workflow, and reporting to the manager on a routine basis.
- Software up-gradation and designing of testing units Remotely monitoring and controlling tracking units from base stations using C-Track SVR (Stolen Vehicle recovery Software) before installation of units.
- Received “Employee of the Month” certificate six times
- Awarded “Star Performer” for rendering exemplary service during the year 2015
Education Background
Master of Business Administration- Marketing and Management
Muhammad Ali Jinnah University (Jun 2010 – Jun 2012)
Bachelors of Engineering- Electronics Engineering
Sir Syed University Of Engineering & Technology (Jan 2005 – Dec 2008)
Soft Skill
Leadership & Strategic Planning
Training & Development
Teamwork & Coordination
Recruiting & Onboarding
Communication & Presentation
Creativity & Innovation
Adaptability & Continuous Learning
Project Management & Time Management
Technical Skill
PYTHON
POWER BI
STRUCTURED QUERY LANGUAGE (SQL)
MACHINE LEARNING
DEEP LEARNING
PYTORCH / TENSORFLOW
NEURAL NETWORKS (ANN / CNN / RNN)
GENERATIVE AI / LLMS
LANGCHAIN
Certifications
Professional Generative AI Specialist Certification Program
Analytix Camp (May 2025 – Sep 2025)1. Python for Data Science and Analytics: I use Python with Pandas and NumPy to Collect, Clean, and Transform Data, perform Exploratory Data Analysis (EDA), and build reproducible analysis scripts and visual prototypes. 2. SQL for Data Extraction and Manipulation: I write efficient SQL queries to Extract, Join, and Aggregate data from relational Databases, supporting reliable Data Pipelines and Model Training. 3. Foundations of Artificial Intelligence: I understand core AI concepts, problem formulation, and ethical considerations, which help me choose the right methods and design responsible AI solutions. 4. Machine Learning: I build, Evaluate, and Tune Machine Learning models (Regression, Trees, Clustering), perform Feature Engineering, and use Cross-Validation to deliver accurate, actionable predictions. 5. Deep Learning: I design and train Deep Learning models for complex tasks, manage optimization and regularization, and apply these models to problems in vision, text, and tabular data. 6. Neural Networks (ANN / CNN / RNN): I implement ANN, CNN, and RNN architectures, adapt them to task needs, and interpret model behavior for real-world applications in image, sequence, and general prediction tasks. 7. LSTM (Long Short-Term Memory): I build and tune LSTM models for time series and sequential data, applying them to forecasting, anomaly detection, and sequence prediction problems. 8. Large Language Models (LLM): I work with LLMs to Perform Understanding and Generation tasks, fine-tune models for domain needs, and evaluate outputs for quality and safety. 9. Hugging Face Ecosystem: I use Hugging Face tools for Tokenization, Fine-Tuning, and Model Serving, preparing datasets and deploying transformer-based solutions efficiently. 10. LangChain and RAG (Retrieval-Augmented Generation): I build RAG systems and agent workflows with LangChain, connecting Vector Stores and Retrieval Pipelines to improve accuracy and provide up-to-date answers. 11. Generative AI Tools: I apply Generative AI tools and Prompt Engineering to create text, images, and multimodal outputs, while implementing Safety Filters and output quality controls. 12. Streamlit for Prototyping and Demos: I build interactive web apps with Streamlit to Showcase models, create user-friendly demos, and let stakeholders explore model outputs live. 13. Power BI for Reporting and Dashboards: I combine model results with business data in Power BI to create interactive Dashboards and Reports that help stakeholders explore insights and make data-driven decisions. Verification Link: Abdul Saboor Certification - Analytix Camp
QHSE for Professionals
Pakistan Industrial Technical Assistance Center, Government of Pakistan (2019)
Learning & Development Program
TPL Trakker, Engage Consultant (2017)
Business Communication & Presentation Skills
Pakistan Society Training and Development, I&B Consultant (2016)
Interpersonal Skills Program
Pakistan Society Training and Development, Engage Consultant (2014)
Advance Excel Program
Aptech Institute, City (2012)
Stress and Time Management Program
Pakistan Society Training and Development, Engage Consultant (2012)
Testimonial
Muhammad Abbas
Chief Executive OfficerGenerative AI Project Development
via Fiverr - May, 2025 - Sep, 2025I am pleased to commend Abdul Saboor for his exceptional dedication, strong work ethic, and consistent achievements. He demonstrates a genuine enthusiasm for learning, approaches challenges with initiative and resilience, and maintains a steadfast commitment to excellence. Academically accomplished and personally driven, he is also a supportive and collaborative individual who contributes positively to the academic environment. His accomplishments reflect not only his intellectual ability but also his character and leadership potential, and I am confident he will continue to excel in all future academic and professional pursuits.
Contact With Me