I developed a dynamic weather forecasting application using Streamlit, integrating real-time weather data from the OpenWeatherMap API. Leveraging prompt engineering techniques, I enhanced the application's functionality by generating context for large language models (LLMs) and dynamically requesting responses with placeholders for dynamic data. Additionally, I implemented and evaluated the performance of two different LLMs, TextBison and Gemini-Pro, for processing weather data, providing insights into their accuracy and effectiveness for weather forecasting tasks. 

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I tackled the challenge of cybersecurity by integrating and analyzing the MQTT Kaggle Dataset, consolidating it into a unified Postgres Database table. Employing advanced feature engineering techniques with PySpark and PyTorch/TensorFlow, I cleaned and enhanced the data to prepare it for machine learning model deployment. Subsequently, I constructed and fine-tuned multiple machine learning models, including Linear Regression and Random Forest Classifier, utilizing hyperparameter tuning to optimize predictive accuracy for cyber-attacks detection and categorization. Additionally, I gained expertise in Continuous Integration/Continuous Deployment (CI/CD) and Machine Learning Operations (MLOps) methodologies, streamlining the project's development and deployment processes for enhanced efficiency and scalability. 

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Activity Tracker Research at CERLAB 

I delved into the realm of real-time 3D pose estimation, addressing challenges such as occlusion-induced inaccuracies. Drawing inspiration from an ICRA paper, I adapted a diffusion-based approach to explore industry-relevant solutions. Currently, I am pioneering a novel methodology by isolating and training this diffusion-based approach specifically on the H3.6M dataset, with a focus on specialized testing. Through this endeavor, I aim to develop cutting-edge techniques that enhance the accuracy and robustness of real-time 3D pose estimation systems, thereby contributing to advancements in computer vision and related fields. 

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Engineering Ambassador

1. Organized town-hall style feedback sessions to gather student input, directly contributing to curriculum adjustments and program enhancements tailored to student needs.

2.  Acted as a key liaison between the engineering department and students, facilitating collaboration and ensuring that students’ voices are heard by faculty and administration.

3. Attended meetings with Mechanical Engineering (MechE) professors to help define and refine the structure of specific programs within the MechE department, ensuring alignment with both academic standards and student aspirations.

Partner at 99Tartans

1. Developed investment strategies for 99Tartans' new Emerging Markets division, focusing on connecting CMU alumni startups with CMU investors.

2. Built a network of investors in US and Emerging Markets, supporting two startups with fundraising efforts, while being one of only two non-MBA partners in a predominantly MBA team.

3. Conducted due diligence on early-stage CMU-affiliated startups, assessing market potential, competition, and business viability.

I spearheaded the development and testing of hardware-in-loop (HIL) simulations for hybrid powertrain systems, leveraging cutting-edge tools such as Automation Desk and Control Desk. With a focus on enhancing energy management strategies and fault detection, I utilized MATLAB & Simulink to design and validate control algorithms for efficient and safe operation. Through meticulous testing in both simulation and real-world environments, including extensive in-vehicle testing, I ensured the reliability and robustness of the vehicle powertrain control systems. This project not only deepened my understanding of automotive engineering but also honed my skills in MATLAB and Simulink, enabling me to deliver innovative solutions for complex engineering challenges. 

1. Explored the various aspects of automotive communications through the lens of cybersecurity.

2.  Interacted with CAN, LIN, ECUs, OBD II ports, and wireless interfaces.

3.  Evaluated/ inspected message traffic across CAN and future migration to automated vehicles.

4. Segmentation of control functions within a smart car, including external controls, infotainment systems, and passenger interaction. 

President,  ASME @ VT 

1. Implemented actuation of 112 fan cutouts at VT stadium to promote Hokie spirit and increase club awareness. Led a team of 7 and gained insights on project management and improvisation due to shifting constraints. 

2.  Guided more than 100 potential Mechanical Engineering students by providing them insights about Mechanical Engineering as a major and future job opportunities by hosting info sessions with multiple companies.