Computer Science Portfolio
I am Kinjal Pandey, an enthusiastic student at Virginia Tech, where I am honing my skills in Artificial Intelligence and Machine Learning. My goal is to use my Computer Science Engineering education to make a significant difference in society and benefit humanity.
I am passionate about applying AI to promote social welfare, focusing on environmental sustainability and community well-being. As I gather knowledge and experiences at Virginia Tech, I am eager to develop innovative solutions that appeal to various groups and tackle intricate problems.
I look forward to connecting with others who share a similar vision, as we work together towards a more intelligent and promising future.
Bachelor of Engineering - BE, Computer Science (Jun 2022 - Dec 2024)
Minor - Mathematics
Grade: 3.7
Dean’s List with distinction
Key Skills: HTML, CSS, Java, C, Linux, MATLAB, SolidWorks, Zotero
Concepts - IBM Z Xplore
Explore and analyze data with Python
Fundamental AI Concepts
Fundamentals of Azure AI Document Intelligence
Fundamentals of Computer Vision
Fundamentals of Generative AI
Train and evaluate regression models
In my role as an ML Algorithm Specialist, I led the Prosthetic Hand project, focusing on integrating machine learning with prosthetic technology.
Our journey began with a simple cardboard model and progressed to using machine learning to analyze hand movements, greatly enhancing the prototype's functionality.
This phase involved CAD modeling, 3D printing, and refining the control mechanism for better adaptability.
The project successfully merged mechanical design with AI, advancing prosthetic technology and offering improved solutions for amputees.
A critical step in the project was incorporating machine learning algorithms to analyze hand movement patterns. The team collected movement data through sensors on a glove worn by users. This data was then used to train a machine learning model to replicate natural hand motions, significantly improving the prototype’s grasping and holding capabilities.
The team transitioned their design into a CAD model using Solidworks. This stage involved exploring various manufacturing methods, including CNC machining, at the Frith lab to create more realistic components, particularly for the palm of the hand.
Next, the team utilized 3D printing and resin molding techniques to produce the palm and joint components. This process improved both the aesthetic and functional aspects of the prosthetic hand, making it more lifelike and durable.
In the final prototype, the Arduino was replaced with a DC power supply to improve control functionality. Lighter materials like wood were chosen for their practicality. The finger joints were directly attached to the servos, simplifying the control system. The hand's movements were regulated by three potentiometers, allowing for more precise and varied control of the finger joints.
The integration of the machine learning model into the prosthetic hand’s control system was a crucial development. This allowed the hand to adapt to different shapes and sizes of objects, significantly enhancing its functionality. The adaptive control mechanism enabled the hand to learn and improve its grasping techniques over time, based on user interactions.
In conclusion, the Prosthetic Hand project successfully bridged the gap between mechanical design and advanced technology. The integration of machine learning into the prosthetic hand prototype not only improved its functionality but also demonstrated the potential of AI in developing adaptive and responsive technological solutions. This project contributed significantly to advancements in the field of prosthetics, offering new possibilities for enhancing the quality of life for amputees.
I led the development of an AI-driven calendar application tailored for Computer Science students, integrating it with various platforms.
My key contributions included implementing advanced machine learning techniques for personalized scheduling and enhancing multi-modal search algorithms.
I focused on a user-centric design approach, conducting rigorous testing and problem-solving within a team environment.
This project showcased my skills in blending technical knowledge with creative solutions in the fields of AI, machine learning, and software development, highlighting my proficiency in human-computer interaction.
Within the Eventualist framework, my primary responsibility was the architectural design and development of an AI-centric calendar application, specifically tailored to the needs of Computer Science students. This application amalgamated functionalities with platforms like Canvas, GrubHub, and GobblerConnect, employing sophisticated AI algorithms to revolutionize time management and optimize scheduling processes.
My expertise was pivotal in the integration of machine learning methodologies to meticulously analyze user behavioral data and generate custom routine suggestions. The crux of this endeavor involved crafting algorithms adept at deciphering and forecasting user preferences, significantly amplifying the user engagement and satisfaction within an e-commerce framework.
A crucial aspect of my role was the refinement of multi-modal search algorithms, ensuring that the application's search functionality aligned with top-tier industry benchmarks, thereby furnishing an intuitive and streamlined search experience for a broad user demographic.
Engaging in a multifaceted team environment, I spearheaded efforts to resolve complex issues such as balancing supply-demand dynamics and addressing business inception challenges, utilizing advanced machine learning models. These initiatives not only augmented the app’s operational efficiency but also propelled its trajectory towards sustainable business evolution.
My approach was anchored in a user-driven philosophy, where extensive testing and heuristic evaluations were conducted. This rigorous analysis was vital in refining the application's user interface and functionality, ensuring optimal usability, accessibility, and alignment with a diverse spectrum of user requirements.
Throughout the project, my application of programming languages like Python and Java was indicative of an advanced skillset in software development, blending creativity with technical acumen.
The success of the Eventualist project hinged on the harmonious integration of machine learning, software engineering, and human-computer interaction principles. My ability to adeptly navigate and excel in this multifaceted environment highlighted not only technical versatility but also intellectual agility.
The Eventualist initiative exemplifies a significant stride in the realm of AI and machine learning, contributing profound insights into human-computer interaction and the development of user-centric software solutions. This project stands as a beacon of interdisciplinary innovation, emphasizing the transformative impact of AI in contemporary technological landscapes.
As the Lead Developer of MeAsmi, I spearheaded a groundbreaking project at the nexus of technology and psychology, focusing on improving community psychology for neurodivergent individuals.
Our team combined advanced machine learning with psychological insights to enhance mental health treatments.
Key achievements included extensive data analysis, innovative machine learning application, collaborative leadership with experts, development of novel therapeutic strategies, and the creation of an interactive community platform.
MeAsmi represents a significant advancement in integrating technology with psychological care, impacting mental health treatment and setting new standards for technological integration in healthcare.
MeAsmi's journey begins with its meticulous data collection process. The team, comprising a blend of technical experts and psychological professionals, embarked on a comprehensive data gathering mission. They collated extensive information on diagnostic patterns, symptomatology, and therapeutic effectiveness, creating a rich dataset that serves as the foundation for groundbreaking analysis.
The project's standout feature is its integration of advanced machine learning algorithms. These algorithms are adept at identifying intricate patterns and correlations within the data, offering insights far beyond traditional analytical capabilities. The project’s use of both unsupervised and supervised learning methodologies has significantly enriched the understanding of mental health care, enabling the development of more effective and personalized treatment plans.
At the helm of this revolutionary project is the Lead Developer, whose role has been crucial in steering the team towards success. The project is marked by a unique collaborative spirit, bringing together three academically renowned professors and five experienced therapists. This interdisciplinary synergy has been key in merging domain expertise with technological innovation, ensuring the data is interpreted accurately and applied practically.
Leveraging the insights from machine learning, MeAsmi has been instrumental in developing novel therapeutic strategies. These strategies have significantly contributed to the field, aiding in the formulation of customized therapy recommendations and identifying new, effective therapy methods. The innovations derived from the project have shown potential in altering the landscape of mental health treatment.
A significant aspect of MeAsmi is its interactive community platform. This platform functions as a dynamic hub for families and professionals, providing access to valuable information on therapeutic effectiveness and insights from machine learning analyses. It plays a crucial role in promoting a data-driven understanding of mental health disorders, fostering community engagement and knowledge sharing.
MeAsmi is not just a project but a movement committed to ongoing research and collaboration. The team ensures that the machine learning models are regularly updated and refined, maintaining their relevance and accuracy. Collaborations with organizations like KidsRights underscore MeAsmi's dedication to making a societal impact, particularly in the field of child psychology.
MeAsmi's Collaboration with KidsRightsThe MeAsmi project is more than a technological triumph; it is a paradigm shift in psychological care. It exemplifies the immense potential of integrating machine learning with psychological expertise. As it continues to evolve and impact the community psychology landscape, MeAsmi stands as a prime example of how technology can be harnessed to bring about positive change in society, especially in understanding and treating mental disorders among neurodivergent individuals. This initiative not only highlights the transformative potential of machine learning in psychological applications but also sets a precedent for future technological integrations in the healthcare sector.
Duration: Aug 2023 - Present
Location: Blacksburg, Virginia, United States
I've championed mainframe technology in academia, focusing on Machine Learning in e-commerce. My roles included advocating for IBM Z technology through events and workshops, facilitating learning sessions on mainframe applications, and engaging with a community of students and professionals.
I've continuously pursued academic excellence through IBM courses and certifications, enhancing my knowledge in areas like NLP and CV, essential for machine learning. My experience reflects strong collaboration skills, innovation, and problem-solving abilities, crucial for developing machine learning models in e-commerce.
Skills: Engineering · Project Management · Leadership
Duration: Aug 2023 - Present
Location: Blacksburg, Virginia, United States
As the Team Leader at the Google Developer Student Club, I've honed skills vital for machine learning. My role involved leading technical workshops and hackathons on software development and Google technologies, where I simplified complex technical concepts for diverse audiences.
I mentored in software development, enhancing understanding of coding and algorithms essential in machine learning. By collaborating with faculty and industry professionals, I integrated real-world insights into our learning community and expanded my knowledge of AI and machine learning applications.
As a resource manager, I linked Google with our club, maintaining technological standards and fostering an inclusive environment.
I kept up with the latest industry trends in software development and managed the club's finances and logistics, reflecting strong organizational skills necessary for complex machine learning projects.
Skills: Engineering · Project Management · Leadership
Duration: Aug 2023 - Present
Location: Blacksburg, Virginia, United States
I've cultivated skills essential for Machine Learning, with a focus on e-commerce search technology. I've developed algorithms and performed data analysis, crucial for crafting effective machine learning models.
I've gained knowledge in cryptography and coding theory, aiding in secure e-commerce data processing. My role involved collaborating in research and effectively communicating findings, highlighting my ability to explain complex information.
I've pursued continuous professional development and innovation, notably applying feedback from mentors. Additionally, I've actively networked and upheld high ethical standards in my research endeavors.
Skills: Engineering · Project Management · Leadership
Duration: Aug 2023 - Present
Location: Blacksburg, Virginia, United States
As an Upper Class Leader in the Design Competition Committee at the Galipatia Living Learning Community, my role is to manage, lead, and coordinate various initiatives within the community.
Skills: Engineering · Project Management · Leadership
Duration: Aug 2023 - Present
Location: Blacksburg, Virginia, United States
As leader of the CommonWEALTH of Scholars at Virginia Tech, I'm dedicated to enhancing the academic and leadership experiences of bright undergraduates, particularly focusing on inclusivity for historically under-represented groups.
In my additional role as a Summer Start Peer Mentor, I have the opportunity to guide first-year students, helping them navigate college life. This role has enabled me to develop vital leadership and communication skills, and to contribute to strengthening the Hokie community through event organization and mentorship.
Skills: Leadership
Duration: Jul 2023 - Aug 2023
Location: Blacksburg, Virginia, United States
As a Summer Start Peer Mentor at Virginia Tech, I had the opportunity to share my enthusiasm and energy with first-year students, helping them navigate the challenges of college life.
I collaborated with faculty and staff to provide academic and social support, drawing from my own experience as a former Summer Start participant.
Through organizing events and activities, I fostered a strong sense of community and belonging among incoming students.
Skills: Project Management · Event Planning · Presentation Skills · Leadership