General Info
Professional Track
- Information Technology (IT) and Communications
Artificial Intelligence
Country
PakistanAreas of Expertise
- Artificial Intelligence/Machine Learning
- Data Mining and Analytics
- Computer Science
Professional Interests
- AI systems for environmental solutions
- Deep learning, Evolutionary Algorithms
- Soft Computing/Ensemble models
What will be your most valuable contribution to your TechWomen mentorship?
My most valuable contribution to the TechWomen mentorship will revolve around sharing my deep expertise in AI and machine learning with a focus on environmental and societal applications. Drawing from my experience in developing AI solutions for forest management and waste reduction, I can offer unique insights into integrating AI with ecological conservation efforts. Additionally, as a co-founder of an initiative aimed at boosting female participation in STEM, I can share effective strategies and experiences to foster diversity and inclusion within the tech industry, benefiting not only my mentor but also their colleagues by enhancing collaborative projects and diversity initiatives.
The Top Three Things I Would Like to Learn or Experience During my Mentorship
- Empowering Women in STEM: Learn effective strategies to enhance women's participation in STEM and AI within Pakistan, focusing on overcoming cultural and educational barriers.
- Silicon Valley Innovation Models: Understand the processes behind innovation, design, and implementation of AI solutions by leading tech companies in Silicon Valley.
- Strategic Networking for Impact: Develop networking skills to connect with global tech leaders and changemakers, aiming to amplify the impact of her initiatives on women and girls in emerging technologies.
Mentorship Characteristic
- Attend company-wide meetings and/or team meetings
- Visit an office or attend a site-visit
- Identify workshops or certificate programs to further my learning after the program has ended
- Focus on leadership skills building
- Identify a short-term project I can work on at the partnering company
Ideal Company Type
My ideal mentor would be from a mid to large-sized technology firm renowned for its pioneering work in artificial intelligence and machine learning applications, particularly those addressing environmental and social challenges. The company should have a global footprint with a culture that emphasizes innovation, inclusivity, and ethical technology development. It would also value diversity and be actively engaged in community outreach and women's empowerment initiatives. This environment should foster collaborative and cross-disciplinary projects, providing a dynamic setting where I can both learn and contribute meaningfully to the company's mission and goals.
What are three adjectives that best describe you in the work place?
- Dedicated
- Organized
- Honest
What impact will your mentorship have on your career and professional path?
My contribution to the TechWomen mentorship will revolve around sharing my expertise in AI and machine learning with a focus on environmental and societal applications. I can offer unique insights into integrating AI with ecological conservation efforts. Additionally, as a co-founder of Women of Pakistan, I bring a unique perspective on promote literacy and empowering women in STEM. This is crucial in a country where women's literacy rate is very low, as it significantly boosts their inclination towards STEM fields. This blend of technology and advocacy will enrich the mentorship experience, fostering diversity and inclusion within the tech industry.
After participating in the TechWomen program, how will you leverage your mentorship experience to make an impact in your home country?
Participating in the TechWomen program will enable me to establish a network of technology experts and like-minded peers dedicated to addressing both local and global challenges. Insights from gender specialists will help transform our platform into a sustainable model, increasing educational opportunities and reshaping societal views on gender roles. The knowledge and practices I acquire will be integrated into educational content designed to elevate Pakistani women's participation in STEM, ultimately narrowing the gender gap in technology fields. This experience will not only enrich my teaching but also empower future generations with the skills needed to thrive in a technology-driven world.
Work History
Years of Full-time Work Experience
9Primary Professional Focus
- IT systems and/or data analysis
- Scientist and researcher in technical science and/or engineering discipline
- Technical project and program manager
Current/Most Recent Job
- Title and Company: Co-Founder, Women of Pakistan
- Direct Reports: 7
- Type: Full-time
- Location: Lahore, Pakistan
- Dates: April 1, 2019 –
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Responsibilities:
Strategic planning, visioning & management; community and partnership engagement & outreach; Research & publication, grant Writing and professional development
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Skills:
Project management, technical proficiency, data analysis; Collaboration, communication and networking; Research acumen, analytical thinking, grant writing & publication skills
Job #2
- Title and Company: Lecturer, Islamia University of Bahawalpur
- Type: Full-time
- Location: Bahawalpur, Pakistan
- Dates: June 1, 2020 –
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Responsibilities:
Course design and delivery, student assessment and supervision, academic advising; Research & publication, grant writing and professional development; Departmental duties, outreach & collaboration, mentorship and community engagement
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Skills:
Pedagogical expertise, curriculum development, programming, communication, advisory and mentorship skills; Research acumen, analytical thinking, grant writing & publication skills; Leadership, management, community outreach, networking, administrative competence and advocacy
Education History
Institution #1
- Institution: Lahore University of Management Sciences
- Degree Awarded: Ph.D
- Major: Computer Science
- Minor: Artificial Intelligence
- Location: Pakistan
- Completion Date: August 1, 2024
Institution #2
- Institution: National University of Computer and Emerging Sciences
- Degree Awarded: Master's
- Major: Computer Science
- Minor: Artificial Intelligence
- Location: Pakistan
- Completion Date: May 1, 2017