Mar 2025 – Present · 1 yr 2 mos

Jan 2025 – Mar 2025 · 2 mos · Chicago, Illinois, United States · Hybrid

• Developed and optimized a Streamlit-based tool that converts Zoom transcripts into articles in the style of a given person, using OpenAI’s GPT API. Integrated DALL-E 3 for image generation relevant to the article's theme. The app allows for real-time content customization, instant feedback, and downloadable files for easy sharing.

Feb 2024 – Feb 2025 · 1 yr · Chicago, Illinois, United States · Remote

• Investigated California’s public RIPA 2023 data to uncover racial policing disparities using advanced data preprocessing, visualization, and EDA, revealing a significant 30% bias in San Francisco. Employed geocoding, GeoPandas, and Folium to create an interactive map for neighborhood-specific analysis, identifying top 3 crimes per census tract.
• Leveraged Pedestron, YOLOv8, and pose estimation to analyze pedestrian group dynamics using over 10,000 Google Street View images, providing data-driven insights for urban planning, safety, and privacy improvements.

Feb 2024 – May 2024 · 3 mos · Chicago, Illinois, United States · On-site

• Developing & testing 7-DOF assistive robot arms (Jaco & xARMu7), integrating Docker, ROS, and utilizing a sensor net to enable individuals with upper limb paralysis to control it through nuanced body motions.
• Dedicated to real-time issue resolution and advancing features such as blending, encoding, and a custom GUI.

Sep 2023 – Dec 2023 · 3 mos · Evanston, Illinois, United States · Remote

• Graduate Teaching Assistant/Peer Mentor for CS469: Machine Learning and Artificial Intelligence for Robotics under the guidance of Dr. Brenna Argall. Responsible for running and grading the codes for all student assignments and projects.

Apr 2023 – Jun 2023 · 2 mos · Evanston, Illinois, United States

• Graduate TA/Peer Mentor for CS496: AI Perspectives under the guidance of Prof. Mohammed Alam. Responsible for grading student assignments, opinion papers, and essays.

Mar 2023 – Jun 2023 · 3 mos · Evanston, Illinois, United States

• Identified clinical indicators of psychosis in teens using computer vision by extracting and examining gesture, linguistic, and cross-modality features from interview videos. Conducted extensive EDA, extracting over 5500 records from gesture analysis.
• Utilized MediaPipe for emotion recognition, head movement, and pose estimation. Devised a Random Forest model achieving 65% accuracy and RNN reaching 78% success rate on gesture records. Trained BERT on video transcriptions, attaining 58% accuracy.

Sep 2023 – Dec 2023 · 3 mos · Chicago, Illinois, United States · Remote

• Led a cross-functional team for the CityZen project, developing a system to improve case management for the City of Fairfax.
• Generated synthetic data using LLMs and gained 97% accuracy in email classification using RNNs.
• Utilized SBert and KNN clustering for automatic issue categorization and routing, boosting city operations efficiency from 60% to 85%.

Jun 2021 – Jun 2021 · 0 mo

• Participated in an internship program as a trainee, gaining a comprehensive introduction to the fields of Artificial Intelligence and Power Electronics.
• Acquired hands-on experience in the development of automatic vehicles through practical training using MATLAB and Simulink.
• Built a strong foundation of knowledge and skills in Artificial Intelligence and Power Electronics, and developed an understanding of industry standards and practices.
• This internship provided me with valuable practical experience and a deeper understanding of the field.

Jan 2021 – Mar 2021 · 2 mos · India

• Developed an AI-enabled FinTech B2B Order Management System using neural networks and data mining techniques
• Utilized machine learning techniques such as data preprocessing, feature extraction to predict payment dates and classify them into different data buckets for tracking companies
• Deployed the system into the frontend using Flask framework, ReactJS, JDBC, Java, and JSP for an optimal user experience
• Demonstrated skills and experience in Machine Learning, UI/UX design and software development through the successful implementation of this project.

Jan 2021 – Jan 2021 · 0 mo · Remote

• Contributed to the field of wireless sensor networks by writing a book chapter on "Network Deployment and Topology Control in Heterogeneous Wireless Sensor Networks"
• Explained the basic concepts of WSNs, including single-hop and multi-hop communication, topologies, applications, challenges, network deployment methods, and coverage methods.
• Demonstrated expertise in wireless sensor networks, network deployment, and topology control through this work.

Jul 2020 – Sep 2022 · 2 yrs 2 mos · India · Hybrid

• As a member of an independent research team at KIIT, under the supervision of Assistant Professor MK Gourisaria, gained hands-on experience in Machine Learning and Deep Learning through research.
• Authored and co-authored six research papers, showcasing my skills in data analysis, modeling and research.
• This research experience provided me with an in-depth understanding of the field and honed my skills in machine learning and deep learning techniques.
• Demonstrated the ability to work in a team and contribute to the research community.