Hi, I am
Aishwarya Bhargava
Hi, I'm Aishwarya Bhargava, a passionate and driven technologist with a strong foundation in Robotic Process Automation (RPA), Artificial Intelligence (AI), and software development. With a Master of Science in Information Science from the University of Pittsburgh (graduating in May 2025), I have honed my skills through hands-on internships, co-ops, and research projects that focused on developing innovative automation solutions and AI-driven applications.
During my academic and professional journey, I've worked on automation projects that optimized enterprise operations, led teams to success in software development, and explored cutting-edge technologies. I love solving complex problems and thrive in dynamic, fast-paced environments where creativity and innovation are key.
In addition to my technical expertise, I actively contribute to the tech community through leadership roles, mentoring, and organizing events that foster knowledge exchange. I’m always excited to take on new challenges and collaborate with others to push the boundaries of what's possible in technology.
When I'm not coding or working on the next big idea, you can find me exploring my other passions like cooking, photography, traveling, or binge-watching the latest movies and series.
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Company: University of Pittsburgh School of Computing and Information, Pittsburgh, PA, USA (On-Site)
Skills: Ethics, Data Science, Python
Company: University of Pittsburgh School of Computing and Information, Pittsburgh, PA, USA (On-Site)
Skills: Leadership, Team Management, Event Management
Company: University of Pittsburgh, Pittsburgh, PA, USA (On-Site)
Skills: HTML, CSS, Drupal 11
Company: C1, USA (Remote)
Skills: Prompt Engineering, Generative AI, Conversational AI, Dialogflow CX
Company: University of Pittsburgh College of Business Administration, Pittsburgh, PA, USA (On-Site)
Skills: Microsoft Excel, Python
Company: Allianz Partners, Noida, UP, India (On-Site)
Skills: UiPath Tool, Robotic Process Automation (RPA), Leadership, Management
Company: Utopia Global Inc. (Prometheus Group Company), Bengaluru, KA, India (On-Site)
Skills: UiPath Tool, Robotic Process Automation (RPA)
Company: Utopia Global Inc. (Prometheus Group Company), Bengaluru, KA, India (On-Site)
Skills: UiPath Tool, Robotic Process Automation (RPA)
Company: Utopia Global Inc. (Prometheus Group Company), Bengaluru, KA, India (On-Site)
Skills: UiPath Tool, Robotic Process Automation (RPA)
Company: LinuxWorld Informatics Pvt. Ltd., Jaipur, RJ, India (On-Site)
Skills: Python, DevOps, Cloud Computing, Ansible, Machine Learning
Company: Samyak IT Solutions Pvt. Ltd., Jaipur, RJ, India (On-Site)
Skills: C, C++
Duration: March 2024 - April 2024
Architected and implemented a comprehensive Hadoop distributed computing environment using Docker containerization, featuring advanced MapReduce programs for data analysis. The solution provides a scalable, containerized framework for big data processing with applications in text analysis and log processing, making complex data analysis accessible and reproducible.
Duration: March 2024 - April 2024
Developed an innovative proof-of-concept system integrating blockchain technology with distributed databases to ensure data integrity and verifiability in outsourced database services. The system combines Merkle Hash Trees with the Ethereum blockchain and Cassandra database to create a tamper-proof data storage and verification mechanism, enabling clients to verify the authenticity of queried data in real-time.
Duration: September 2023 - April 2024
Developing a comprehensive Database Management System for the Center for Comparative Archaeology, enhancing collaborative and research capabilities globally. This platform simplifies access to archaeological data and supports the management and contribution of new research findings.
Duration: January 2024 - April 2024
Developed sophisticated predictive models to analyze and forecast paint color popularity and physical properties, utilizing advanced machine learning techniques including Random Forest and Gradient Boosting Machines in R. This project achieved impressive predictive accuracy with an RMSE of 0.011 and an ROC AUC of 0.897.
Duration: January 2022 - April 2022
Developed a comprehensive RPA and AI-driven system to automate the entire invoice processing workflow from email receipt to data consolidation and client delivery. This system specifically targets ham emails within Gmail, automatically downloads attachments, and applies advanced data extraction techniques to process invoices efficiently. Achieved an exceptional accuracy rate of 99.8%, substantially reducing fraud risks and demonstrating significant cost efficiencies in financial operations.
Duration: January 2022 - February 2022
Developed a versatile RPA solution using UiPath to automate the process of university and course shortlisting for prospective students based on their academic profiles. This system initiates with a user-friendly form that collects essential details such as name, email, GRE scores, GPA, preferred countries, and courses. Depending on the user's selection, the bot either shortlists universities or identifies top courses from preferred educational websites, automating data extraction and compilation into Excel, followed by emailing the results directly to the user.
Duration: September 2020 - December 2020
Developed a robust RPA solution using UiPath to automate the extraction of data and tables from various invoice PDFs received via Gmail. This system identifies relevant emails based on specific subjects, downloads the attachments, and employs advanced OCR technology and string manipulation techniques to accurately extract data. The extracted information is then systematically stored in designated Excel files for streamlined processing and analysis.
Duration: September 2020 - December 2020
Developed an automated solution using UiPath to efficiently manage file downloads from GitHub repositories. The system navigates to specified GitHub URLs, downloads files, and employs advanced string manipulation techniques to organize these files into dynamically created folders based on file names. This process not only enhances file management but also optimizes retrieval and storage efficiency.
Duration: September 2020 - December 2020
Developed an advanced RPA system using UiPath to autonomously navigate and extract product information from Amazon and Flipkart based on user-defined criteria. The automation process starts with a user interface that prompts for the device name and the choice of the e-commerce website. Depending on the selection, the bot executes a tailored script: it opens the corresponding website (Amazon or Flipkart), searches for the device, and scrapes essential details such as product names, URLs, and prices. This data is meticulously captured and organized into structured Excel spreadsheets, which are then uploaded to an orchestrator queue for further processing. This system not only streamlines the data extraction process but also ensures that the information is consistent, accurate, and readily available for analysis and decision-making.
Duration: June 2019 - July 2019
Developed a sophisticated graphical user interface (GUI) application for a comprehensive food billing system using Python and the Tkinter library. This intuitive system facilitates efficient order processing and billing management for a variety of food items, enhancing the ordering experience for users and streamlining backend operations for businesses. The system's cleanly designed GUI allows users to input their name, select food items from categories such as sweets, snacks, and pickles, adjust quantities, and view an automatically updated total cost. It features dynamic order processing capabilities that handle multiple item selections simultaneously, providing instant feedback on cost calculations. Upon completion of the selection process, the system generates a detailed receipt that includes the customer's name, date, list of items purchased, quantities, and the total cost. This receipt can be saved, printed, or sent to the customer via email, ensuring a smooth transaction from start to finish. Backend operations are robustly designed to manage data manipulation and calculation accurately, supporting the system's ability to provide reliable pricing and total aggregation. The application also includes functionalities for session data storage, allowing users to make adjustments before finalizing the bill.
Duration: January 2019 - April 2019
Developed an advanced machine learning model to accurately identify and extract license plate numbers from vehicle images using the K-Nearest Neighbors (KNN) algorithm. This comprehensive system integrates Python with OpenCV and Numpy to enhance image processing for optimal character recognition. The process begins with capturing vehicle images, followed by sophisticated preprocessing to improve image clarity and contrast, preparing them for effective license plate detection. Utilizing advanced image processing techniques, the system isolates the license plate area and employs the KNN algorithm to accurately recognize and classify each character on the plate. This approach achieved an impressive F1 score of 92.56%, demonstrating high precision and reliability under various lighting conditions and angles, which is essential for real-world applications.
Duration: June 2018 - July 2018
This project delivered a highly efficient automation solution that streamlines the deployment of complex technological stacks using Python and Ansible. The system facilitates rapid setup of diverse environments including Docker, Hadoop, and various cloud service models like CaaS, SaaS, PaaS, and STaaS. It simplifies the configuration of Hadoop's critical components such as job trackers and task trackers, integrates Docker for container management, and provides tools for configuring multiple layers of cloud services.
Duration: June 2018 - July 2018
Developed an advanced face recognition system that utilizes machine learning to enhance security measures. This system employs Haar features-based Cascade classifiers to train a model on recognizing specific client faces. Once trained, it effectively uses real-time webcam data to authenticate users by matching their faces against the stored models. This technology was integrated into a security framework that controls access to a secure website, demonstrating its practical application in safeguarding digital assets.
GPA: 3.857 | Expected: May 2025
GPA: 3.0 | Graduated: May 2020
Python
JavaScript/TypeScript
C
R
HTML
CSS
MySQL
Google Cloud Platforms
OpenAI
Anthropic Claude
Google AI (Gemini)
Microsoft AI
Perplexity
Hugging Face
Ollama
SciKit-Learn
OpenCV
Neural Networks
Natural Language Processing
Computer Vision
Robotic Process Automation
Visual Studio Code
IntelliJ IDEA
PyCharm
Eclipse
Git
GitHub
JIRA
Docker
Ansible
UiPath Tool
React
Angular
Bootstrap
Tailwind CSS
Shadcn/UI
Flask
Node.JS
Pandas
NumPy
SciPy
Matplotlib
Seaborn
GGPlot2
Hadoop
Selected as a scholar for the world's largest gathering of women technologists, recognizing academic excellence and leadership in computing. This prestigious scholarship provided full sponsorship for travel and accommodation to attend the week-long Grace Hopper Conference. As a recipient, I had the opportunity to network with leading technologists, attend cutting-edge technical sessions, and participate in career development workshops. This experience significantly enhanced my professional growth in the field of computing, exposing me to the latest trends and innovations in technology while connecting me with a diverse community of women in tech.
Recognized for outstanding contributions to the LLUH Elly project, demonstrating exceptional attention to detail, proficiency in error detection and fixing, and creativity in prompt creation work. My efforts had a substantial impact on the company, significantly improving the efficiency and effectiveness of the Elly system. This recognition underscores my ability to tackle complex technical challenges, deliver high-quality results, and drive innovation in a collaborative environment. The award highlights my commitment to excellence and my capacity to make meaningful contributions to critical projects.
Honored as a standout member of the AI Center of Excellence intern team for demonstrating exceptional hard work and dedication during the summer internship. This recognition reflects my ability to quickly adapt to new technologies, contribute meaningfully to cutting-edge AI projects, and collaborate effectively within a high-performing team. The "Be Bold" Award underscores my commitment to pushing boundaries and embracing innovative solutions in the field of artificial intelligence. It also highlights my capacity to make significant impacts in a short period, showcasing my potential as a future leader in AI and technology.
Acknowledged for playing a crucial role in expanding Elly's capabilities for Loma Linda University Health. I spearheaded the implementation of patient authentication features and successfully integrated Elly with Redox and Epic systems. These improvements significantly streamlined healthcare processes, enhanced data security, and improved overall patient care. This project showcased my ability to work with complex healthcare systems and deliver solutions that have a direct, positive impact on both healthcare providers and patients. The recognition highlights my technical expertise, project management skills, and ability to understand and address the unique challenges in healthcare technology integration.
Awarded for exceptional performance in rapidly developing and deploying multiple bots within a compressed timeframe. By leveraging my expertise in automation and efficient coding practices, I delivered high-quality, functional bots that significantly improved operational efficiency. This achievement demonstrates my ability to work under pressure, manage multiple projects simultaneously, and deliver results that exceed expectations. The award underscores my technical proficiency, time management skills, and dedication to driving process improvements through innovative automation solutions.
Recognized for the dual achievement of revitalizing outdated, non-functional bots while simultaneously developing and deploying new ones. By applying my problem-solving skills and deep understanding of bot architecture, I breathed new life into legacy systems, making them operational and efficient. Additionally, I demonstrated my ability to multitask by concurrently delivering multiple new bots, showcasing my versatility and commitment to enhancing the company's automation capabilities. This award highlights my technical expertise, innovative approach to problem-solving, and ability to manage complex projects effectively.
Published a research paper titled "Invoice Processing using Robotic Process Automation (UiPath tool) and Artificial Intelligence" in the International Journal of Scientific and Engineering Research (IJSER, ISSN 2229-5518). This publication represents a significant contribution to the field of Robotic Process Automation and AI, exploring innovative approaches to invoice processing by leveraging the UiPath tool and artificial intelligence techniques. The research demonstrates my ability to bridge theoretical concepts with practical applications, offering insights that can revolutionize financial operations across industries. The publication process also honed my skills in academic writing, data analysis, and presenting complex technical concepts in an accessible manner, further establishing my expertise in the RPA and AI domains.
Invited as a guest speaker at the TEDP-RPA event to share my personal journey in Robotic Process Automation with a diverse audience of students and professionals. My presentation covered the evolution of RPA technology, its current advantages, and future scope in various industries. By relating my own experiences and insights, I inspired and educated attendees about the transformative potential of RPA. This speaking engagement not only showcased my expertise in the field but also demonstrated my ability to communicate complex technical concepts to a broad audience effectively. It highlighted my role as a thought leader in RPA and my commitment to sharing knowledge and fostering growth in the tech community.
Awarded for outstanding performance in leading a team of 4 developers as the lead RPA Developer for a major project. By demonstrating self-drive and a commitment to excellence, I ensured that the project was completed on time and with superior quality. My leadership skills were instrumental in guiding the team through complex challenges, fostering collaboration, and maintaining high standards throughout the project lifecycle. This achievement underscores my ability to not only excel in technical aspects but also in project management and team leadership roles. The award recognizes my capacity to drive results, mentor team members, and deliver high-impact solutions in a corporate environment.
Recognized for exceptional performance in developing two major projects within a remarkably short timeframe. The impact of these projects was substantial, resulting in savings of 12 man-power hours per day for the company. By leveraging my technical expertise and efficient project management skills, I delivered high-quality solutions that significantly improved operational efficiency. This achievement demonstrates my ability to handle complex projects under tight deadlines while maintaining a focus on creating tangible, measurable benefits for the organization. The award highlights my innovative problem-solving skills, technical proficiency, and commitment to driving business value through technology solutions.
Earned the Rising Star award for successfully clearing the Red Hat EX407 exam in a single attempt, a testament to my expertise in Red Hat Ansible Automation. This challenging exam tests advanced skills in using Ansible for automation and configuration management. Successfully passing it on the first try demonstrates my deep understanding of Ansible principles, my ability to design and implement automation solutions, and my proficiency in troubleshooting complex automation scenarios. This achievement not only validates my technical skills but also positions me as a capable professional in the field of IT automation and DevOps practices. It underscores my commitment to continuous learning and mastery of cutting-edge technologies in the rapidly evolving field of IT infrastructure management.
aishwarya.bhargava1198@gmail.com
aib79@pitt.edu
+1 (878) 834-9065
+91 8764074858
Pittsburgh, PA, USA