Final-year EE student turning AI, Robotics, and Product thinking into things people actually use.
About
I'm a final-year Electrical Engineering student with a deep interest in AI, Robotics, and Product Management. I love building things that actually solve real-world problems, and I enjoy thinking in systems and using design thinking to make sure what I build is not just technically cool, but also useful and usable.
My experience sits at the intersection of intelligent algorithms, physical systems, and user-centered product development — bridging theory with practical, deployable solutions.
Beyond academics, I am an avid learner and explorer. I enjoy playing and following cricket, chess, and badminton, and I find balance in gardening. I'm always on the lookout for compelling TV shows, movies, and video games, and I love traveling to experience new cultures, ideas, and perspectives.
Note: This website is under construction as I continue to update project reports, videos, media, and code.
News
Graduating from Habib University. Convocation scheduled for June 6, 2026.
Developing an AI agent that extracts actionable business insights from real-time data for trend scouting and marketing intelligence.
Started working on AI-powered automation and content systems at Borderless.
Research paper submitted to the 2nd IEEE Karachi Humanitarian Technology Conference. Currently under review.
Abstract accepted for the Habib University DURS Symposium 2026. Full paper has been submitted.
Featured Product
Real-time trend intelligence that gives any business the firepower of a full marketing team.
An end-to-end AI agent that converts a raw business brief into actionable marketing strategy — orchestrating Google Trends ingestion, news enrichment, LLM analysis, and automated report generation. It outputs trend-linked promo ideas, ready-to-publish captions, media direction for posts and reels, and priority recommendations (act now / this week / skip). Starting food-specific, where demand swings with every match, festival, and weather change.
Stack: Python · Flask · CrewAI · OpenAI · PyTrends · Apify · BeautifulSoup
Next up: Stronger brand personalization · Auto-generated media assets · Ethical guardrails · Real-time monitoring · Dedicated product website
Education
Habib University · Karachi, Pakistan
Aug 2022 – Jun 2026 · CGPA: 3.21/4.00
Coursework: Introduction to Robotics, Mobile Robotics, Engineering Design and Innovation, Digital Signal Processing, Statistical Inference, Supply Chain Management, Principles of Management, Control Systems, Linear Algebra, Discrete Mathematics, Probability and Statistics, Calculus, Computer Architecture, Microcontrollers and Interfacing, Programming Fundamentals, Data Structures and Algorithms, Object-Oriented Programming, Digital Logic and Design.
Atom Camp
Aug 2025 – Dec 2025
Intensive bootcamp covering machine learning, deep learning, and data science through hands-on projects. Built end-to-end pipelines in computer vision, data visualization, NLP, EDA, SQL queries, and AI agents.
Coursera (IBM) · Remote
Dec 2025 – Ongoing
Comprehensive program covering product strategy, development lifecycle, stakeholder collaboration, and Agile methodologies. Preparing for the AIPMM Certified Product Manager (CPM) certification.
Foundation Public School (As) & Highbrow College (A2)
2018 – 2020
4 As, 1 E
Sadequain Grammar School
2016 – 2018
2 A*s, 5 As, 4 Bs
Experience
Habib University · Karachi
Oct 2025 – Present · Dr. Farhan Khan
Developing a unified AI-based framework that integrates crash detection with acoustic source localization. Benchmarked SVM, Naive Bayes, and LSTM architectures for sequence-aware event classification—achieving >90% accuracy. Implementing MFCC-based feature extraction with RNN-LSTM for noisy urban robustness. Validated via time-stretching, pitch shifting, SNR variation, and noise injection.
Mel spectrogram — audio signal visualization for crash event classification
Habib University · Karachi
Aug 2025 – Present
Organizing IEEE tech talks and managing planning for the HU Robotics Competition, coordinating with speakers, participants, and university stakeholders.
Habib University · Karachi
Jun 2024 – Aug 2024 · Dr. Shahid Sheikh & Dr. Hurr Rizvi
Conducted research on smart grid systems, focusing on simulating transmission line models and developing a novel algorithm for detecting anomalies.
The Citizens Foundation · Karachi
Jun 2024
Taught a class of 30 students, delivering multiple interactive sessions per day and facilitating team-building exercises.
Habib University · Karachi
Aug 2023 – Dec 2024
Redesigned course delivery with engaging, empathetic pedagogy. Facilitated sessions with 150+ students and individual tutoring, simplifying complex concepts through practical analogies.
Habib University · Karachi
Jun 2023 – Dec 2023 · Miss Aatyka Fatima
Collaborated with faculty to redesign the learning experience for Calculus I using student feedback. Applied design thinking to develop a comprehensive support program addressing key learning gaps.
Habib University · Karachi
Feb 2023 – Feb 2024
Spearheaded "Mathema 23", managing logistics and registrations for 300+ students as primary liaison between participants, sponsors, and faculty.
Projects
End-to-end detection pipeline using YOLOv8 and PyTorch with automated data annotation and transfer learning for safety-monitoring.
Comprehensive EDA on Zameen.com listings, identifying pricing drivers and regional trends to extract actionable investment insights.
Autonomous pick-and-place with 80%+ accuracy via camera-based color cube detection and optimized inverse kinematics.
Full mathematical model and PID control loop for a fixed-axis dual-copter, achieving transient stability with minimal oscillation.
Tiva C-based differential drive robot with IR/ultrasonic sensors and PID control for maze navigation and obstacle avoidance.
Differential-drive rescue robot using LiDAR and sound triangulation with graph-based SLAM for unknown disaster environments.
Normalized relational database for hospital operations with optimized SQL workloads using CTEs and Window Functions.
Applied systems engineering to study Dawlance's microwave assembly bottleneck and designed an autonomous robotic solution concept.
Sentiment classification for 50k+ reviews using N-gram vectorization and Naive Bayes with optimized preprocessing pipeline.