Who Am I?

Who Am I?

Hello, my name is Aman Laiq Mohammed. As a graduate student pursuing a Master's in Computer Science at the University of Illinois, Chicago, I am deeply passionate about Software Engineering, Full Stack Development, and Data Science. Currently, I am working as a Full Stack Developer at the College of Engineering, UIC, where I apply my technical skills and problem-solving abilities. I am seeking a full-time role in Software Development to leverage my experience and create impactful applications tailored to business needs while positively influencing those around me.

I have always embraced the challenge of stepping out of my comfort zone, believing that growth comes from confronting the unfamiliar. This mindset fuels my creativity and drive to solve problems in innovative ways. I thrive on tackling complex issues and view obstacles as opportunities to learn and improve. My strong team spirit and communication skills allow me to collaborate effectively with diverse teams, ensuring that I contribute valuable insights and solutions in every project I undertake.

Interests

Interests

Problem Solving

Data Engineering

Cloud

Full Stack Development

Software Development

Photography

Projects
Internships
Skills

Skills

  • Programming: C++/C#, Python, Java, JavaScript, HTML, MySQL
  • Web Technologies: ReactJS, ExpressJS, NodeJS, HTML, CSS, Bootstrap
  • Databases: MySQL, Mongo DB, Firebase
  • Cloud: AWS (S3, EC2, SNS, Lambda, RDS)
  • Tools & Frameworks Kubernetes, Docker, Nginx, VS Code, Xampp, Git, D3, Tableau, Vega-Lite, Matplotlib, Plotly, Adobe Photoshop, Adobe InDesign
  • Specalities: SDLC, Requirement Analysis, Object-oriented Design, Machine Learning, Data Engineering

Education

Education

Masters in Computer Science
University of Illinois at Chicago
GPA: 4/4

Bachelor of Technology in Computer Science and Engineering
Jawaharlal Nehru Technological University, Hyderabad
GPA: 3.98/4

XII (Higher Secondary)
International Indian School, Dammam, Saudi Arabia
Score: 97.5%

Experience

Work Experience

Full Stack Developer (Graduate Assistant) Feb 2024 - Present

    Projects: Research Expenditure, Purchase Request Form, Undergrad Hire Form
    As a Full-Stack Developer at UIC I:
  • Developed a Research Expenditure Platform using Laravel and Node.js, with a strong emphasis on security and performance optimization. I collaborated on feature design and implementation, focusing on scalability and data accuracy to ensure the platform could handle increasing data volumes while maintaining precision and reliability.
  • Engineered a PHP and React-Based Purchase Request Application for the College of Engineering, streamlining the process of creating, tracking, and approving departmental purchase requests. I implemented an intuitive approval workflow, enabling supervisors to efficiently manage requests with options for approval, rejection, and feedback, complemented by automatic email notifications.
  • Developed a Node.js and React-Based HR Form Application, facilitating the hiring of over 200 students and managing salary change requests. The application also featured automatic requisition letter generation through integration with Microsoft SharePoint, enhancing processing efficiency.

Front-End Web Developer at StarLike Consulting Sep 2022 - July 2023

    Project: Website Development
    As a Front-End Developer at StarLike I:
  • Developed and Optimized the Company’s Website using JavaScript, HTML, and CSS, significantly enhancing user experience and serving as the primary platform for showcasing the company's services. This was the sole channel for customer interaction, leading to a 50% increase in mobile conversions, a 25% decrease in bounce rate, and notable improvements in session duration and customer satisfaction.
  • Collaborated with the COO to design a custom, responsive website that not only displayed the company's offerings but also facilitated customer engagement. This initiative resulted in a 45% increase in conversions and a 30% boost in user engagement across various devices.

Data Science Consultant at Navcara LLC Feb 2021- May 2022

    Project: Data-Driven Process Optimization
  • An advanced analytics application developed to assist packaged consumer goods manufacturers in evaluating the impact of key sales drivers—such as pricing, distribution, promotion, and advertising—while benchmarking their performance against competitors.
    • As an intern at Navcara LLC I:
  • Led an 8-member team in the development of a purchase order application using Celonis Studio for Navcara LLC, directly reporting to the Managing Director and successfully driving multiple project outcomes.
  • Utilized comprehensive data analysis from diverse sources to deliver actionable recommendations, addressing complex business challenges and enhancing strategic decision-making.
  • Gained proficiency in Process Mining, SQL, PQL, and Celonis Studio; focused on developing and optimizing requisition management applications, while setting clear objectives and KPIs to measure project success.
  • Enhanced application functionality and user experience through innovative solutions, ensuring effective management and tracking of purchase orders and requisition processes.

Graphic Designer at Jawaharlal Nehru Technological University Aug 2019 - August 2021

    Project: Department Website Overhaul
    As a Web Developer at the CS Department I:
  • Overhauled the department’s WordPress site, significantly boosting user engagement and improving content discoverability. The revamped site provided a more intuitive user experience, making it easier for visitors to navigate and find relevant information.
  • Leveraged Adobe InDesign expertise to create graphics that strictly adhered to university branding guidelines, which enhanced the department's identity and ensured a consistent visual presence across all platforms.
  • Produced high-quality visual content, including videos and photographs, using Adobe Creative Suite. These visuals were instrumental in supporting key department initiatives and events, elevating the department’s public image and communication efforts.

Responsibility

Positions of responsibility

Technical Lead at JNTUH Apr 2019-June 2022

  • Advocated for and advanced the organization’s core mission and vision, ensuring alignment with university goals.
  • Served as an organizer for TECHFEST’20, JNTUH’s flagship technical festival, overseeing event planning and execution.
  • Coordinated the CODEFEST 5.0, a major competitive coding event that attracted participants from across the university.
  • Spearheaded multiple technical workshops and events, including hackathons, aimed at equipping students with essential technical skills and hands-on experience.
  • Developed team management skills by leading collaborative brainstorming sessions to identify and address various challenges effectively.
  • My tenure in this role honed my leadership abilities, fostering an environment of open communication and active participation among team members.

Projects

Projects

DB system for UI health

Project Code

• Engineered a dynamic MVC database system for UI Health Hospital using Flask and Angular, boosting vaccine management and scheduling efficiency by 50%.

Online Learning Platform

• Developed a comprehensive online learning platform using React and Flask, enhancing digital education with interactive features and efficient course management.

Chicago Crime Trends Explorer

Project Code

• Launched an online data visualization platform using D3.js and Vega-Lite to explore Chicago crime trends, enhancing interactive analysis and user engagement.

Software Fault Prediction Using ML

Project Code

• Studied and implemented Random Forest and Support Vector Machine algorithms using Python to achieve over 82% accuracy in software fault prediction on the JM1 dataset.

Complaint-Outcome-Prediction

Project Code

• Developed a predictive model using historical complaint data to forecast the likelihood of substantiation for new complaints, aiding the NYPD and CCRB in prioritizing cases and fostering a safer, more transparent community environment.

Statistical Analysis on Stock market based on Clustering

Project Code

• Developed a machine learning model to analyze stock market statistics using clustering algorithms, showcasing the application of ML techniques on Starbucks enterprise data as a final year project at JNUTH.

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Contact

Get in Touch

aman007mohammed@gmail.com

Chicago, Illinois

amanlaiq.com