Help & Supportcareers@gravityer.com
AI Engineer with 2+ years in Data Science & Machine Learning.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Junior Computer Science undergraduate and Excellence Scholarship recipient at Habib University, selected as an incoming Visiting Student at UC Berkeley (School of Information). Passionate about merging Human-Computer Interaction (HCI) and Design Thinking with Graph Data Science to drive technical innovation. A creative problem-solver dedicated to building human-centric solutions that bridge the gap between complex data and human experience.
Habib University
Bachelor of Science · Computer Science
N/A – June 30, 2027
University of California, Berkeley
Visiting Student · Information
N/A – June 30, 2026
ClimateWatch
Intern
June 1, 2026 – Present
India
CodeAlpha
Data Science Intern
February 1, 2026 – May 31, 2026
India
Data Grains
AI Content Strategist
August 1, 2025 – Present
India
Habib University Summer Camp
Python Module Facilitator
July 1, 2025 – June 30, 2026
India
Hyphen Resource Centre
Research Assistant
May 1, 2024 – December 31, 2024
India
Karachi Dynamic Transit Optimizer
June 20, 2026 – Present
Created a program to map the Karachi Bus Network and analyze the most efficient travel routes during unpredictable traffic jams. Ran over 1,000 simulations to research and analyze how different routing algorithms handle sudden road closures. Generated a final statistical report proving that the optimized algorithm (LPA*) updated transit routes 15 times faster than traditional methods.
Focus Friend / "Pocket Ammi" (HCI & Design Research)
June 20, 2026 – Present
Conducted design research to adapt a productivity app for an elderly Pakistani demographic (Age 50+). Applied Design Thinking principles to create an intervention addressing accessibility issues for non-tech-savvy users.
Breathable Spaces: Sustainable Scent Formulation
June 20, 2026 – Present
Researched the health risks of commercial air fresheners and designed a natural, zero-waste alternative using local Pakistani non-imported ingredients. Analyzed qualitative user feedback from community testing to improve the product's effectiveness and finalize the packaging design. Authored a formulation handbook detailing the supply, recipes, and sourcing.
Black & White Image Re-colorization (Deep Learning)
June 20, 2026 – Present
Built a deep learning model to colorize grayscale images using UNet and CNN architectures. Implemented model training using PyTorch on Google Colab, optimizing for resource constraints like RAM and GPU usage.
Social Network Analysis Portfolio (R & Graph Theory)
June 20, 2026 – Present
Parliamentary Bill Co-sponsorship: Analyzed political collaboration networks to visualize legislative relationships. Karachi Bus Stop Network: modeled public transit routes as a graph to analyze connectivity and central nodes. Animal Abuse Reporting Analysis (Dawn News): Analyzed reporting data to visualize trends and network connections in animal abuse incidents.
Geopolitical Alliances: Network & Game Theory Analysis
June 20, 2026 – Present
Analyzed over 6,700 United Nations voting records to map global political alliances specifically surrounding the Israel-Palestine conflict. Built an automated Python data pipeline to clean raw data and map out nearly 8,000 strong diplomatic relationships. Applied game theory to analyze Pakistan's diplomatic strategy, evaluating its specific stance and structural position within global voting blocs. Generated a comprehensive research report featuring complex network visualizations to clearly explain these power dynamics and voting behaviors.
MeritGrid – AI-Powered Educational Matching Platform
June 20, 2026 – Present
Built a secure user access system to protect AI features and ensure that student and organization data remained private and separated. Set up the backend database to support real-time user features, including saved bookmarks and automated notifications. Improved system security by adding strict data validation and secure, rate-limited file uploads for user profiles. Collaborated with a developer team using Git, fixing code conflicts and ensuring all automated system tests ran smoothly.
Cultural Fit Analysis
The candidate's diverse academic projects, ranging from AI-powered platforms to sustainable product design and social network analysis, indicate a broad intellectual curiosity and adaptability. Their involvement in climate policy research and youth-led initiatives suggests a commitment to social impact, which can be a strong cultural fit for organizations valuing purpose-driven work. The blend of technical skills with design thinking and HCI shows a holistic approach to problem-solving.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills, evidenced by optimizing transit routes and analyzing complex geopolitical data. Their experience as a Python Module Facilitator suggests good communication and teaching abilities. Collaboration with a developer team using Git indicates teamwork and operational fit. The focus on Human-Computer Interaction and Design Thinking aligns with user-centric development, which is valuable in AI product development.