CV

Education

• B.S. in Electrical and Computer Engineering, University of Texas at Austin (Expected May 2025)
  • Minor: Entrepreneurship
  • Scholarship: Recipient of the Bostick Francis Scholarship for Electrical Engineers

Projects and Research

• Social Impact BuildFest – EveryLibrary Advocacy Project (Feb 2025)
  • Developed a Python-powered accessibility tool integrating sentiment analysis, text-to-speech, and haptic feedback to enhance digital advocacy.
  • Engineered a hybrid NLP model combining rule-based approaches (NLTK lexicons, MWEs) and transformer-based emotion classification (Hugging Face) to analyze emotions sentence-by-sentence.
  • Integrated DataFeel SDK to generate haptic command JSON, creating a multi-sensory experience for advocacy content.
  • Implemented dyslexia-friendly UI enhancements, including adjustable contrast, font size, and OpenDyslexic/Atkinson Hyperlegible fonts, improving accessibility for neurodivergent users.
  • Automated batch text processing and developed an emotion timeline visualization to help users track sentiment progression.
  • Tools: Python, PyQt6, NLTK, Hugging Face, Pyttsx3, Matplotlib, DataFeel SDK.
• Energy A.I. Hackathon 2025 – First Place (Team: Data Comrades) (January 2025)
  • Designed a predictive analytics pipeline to forecast energy consumption (Grid, Diesel, CNG) during hydraulic fracturing operations, integrating robust uncertainty modeling with 100 realizations per well.
  • Developed and optimized XGBoost and Random Forest models, achieving high predictive accuracy (R²: 0.9918 for Grid, 0.9766 for Diesel, 0.9692 for CNG).
  • Engineered advanced features using CatBoost encoding, performed missing data imputation, and created an estimated time model for feature extraction.
  • Leveraged custom libraries, including ozbayrak_goodness for model evaluation and UTuning for hyperparameter optimization.
  • Secured 1st place out of 25 teams based on MAPE, presentation, and code quality.
  • Tools: Python, Jupyter, scikit-learn, XGBoost, Pandas, CatBoost, ozbayrak_goodness, UTuning.
• Hardware Accelerator for Post-Quantum Cryptography (ML-DSA) (Sep 2024 – Present)
  • Spearheading the development of a Verilog-based accelerator to enhance cryptographic operations for the Module-Lattice-Based Digital Signature Algorithm (ML-DSA).
  • Engineering a C-based driver for seamless hardware-software interfacing, optimizing performance to ensure scalability for real-world applications.
  • Collaborating with a multidisciplinary team to address challenges in post-quantum cryptography, ensuring robustness and security in cryptographic protocols.
  • Tools: Verilog, ModelSim, C, Python.
• Handwriting Recognition with CRNN and Attention Mechanisms (December 2024)
  • Designed a Convolutional Recurrent Neural Network (CRNN) model incorporating Connectionist Temporal Classification (CTC) loss for handwritten name recognition.
  • Achieved 85% character accuracy on a dataset of over 400,000 samples, surpassing industry benchmarks and paving the way for practical handwriting recognition solutions.
  • Implemented attention mechanisms to enhance model performance, focusing on accurately recognizing intricate handwritten patterns.
  • Tools: Python, TensorFlow, OpenCV, Kaggle
• NASDAQ Data Analysis (August 2024 – Present)
  • Constructing sophisticated time-series forecasting models using Bayesian techniques and kernel-based regression to analyze more than a decade’s worth of market data.
  • Developing predictive analytics tools to provide actionable insights for investors, aiding in the decision-making process.
  • Continuously refining models to adapt to market dynamics, enhancing the accuracy and reliability of forecasts.
  • Tools: Python, Orbit, Prophet
• Urban Insights Initiative (Jan 2024 – May 2024)
  • Created advanced geospatial tools utilizing OpenCV and OSMnx, empowering urban planners to optimize site selection for sustainable development.
  • Conducted comprehensive data analysis to inform planning decisions, focusing on environmental impact and resource efficiency.
  • Facilitated workshops with urban planners and stakeholders to demonstrate the practical applications of the developed tools.
  • Tools: React.js, JavaScript, MongoDB
• Abacus Creator Business (Dec 2022 – Aug 2023)
  • Built a React.js-based educational platform featuring an interactive digital abacus for customizable problem sets.
  • Designed and implemented a scalable backend with MongoDB for dynamic user data management.
  • Enhanced learning outcomes by enabling tailored problem generation for diverse educational levels.
  • Tools: React.js, JavaScript, MongoDB
• Adaptable/Deployable Structures for Seismic Mitigation (Summer 2022)
  • Engineered a deployable structural prototype designed to enhance seismic resistance, validated through rigorous MATLAB simulations.
  • Developed LabVIEW deployment mechanisms to ensure real-time responsiveness and adaptability during seismic events.
  • Collaborated with the Human Centered Robotics Laboratory to test and refine the prototype, ensuring practicality and effectiveness in mitigating seismic risks.
  • Tools: MATLAB, LabVIEW, SolidWorks
• eATP Signaling Pathways Research (Jan 2018 – Aug 2021)
  • Investigated the role of pgp4-1 in extracellular ATP-induced stomatal closure under the guidance of Dr. Gregory Clark.
  • Contributed to advancements in understanding plant cell signaling mechanisms, with implications for improving agricultural productivity.
  • Published findings in peer-reviewed journals, presenting research at national conferences to share insights with the scientific community.
  • Tools: ImageJ, RStudio

Work Experience

• AI & Data Analyst, SkyTerra Group (May 2025 - Present)
  • Engineering biometric AI pipelines for a healthcare client, detecting atrial fibrillation and ~168 ECG rhythms from ECG/PPG with ML models.
  • Designing HIPAA/GDPR-compliant edge-to-cloud data workflows to support secure, scalable health monitoring.
  • Directed field integration of a microgrid for a client, deploying batteries, inverters, generators, and remote monitoring for off-grid power.
• Tutor (Mathematics, Creative Writing, Spanish), Varsity Tutors (March 2024 – Present)
  • Developing and delivering tailored lesson plans for advanced mathematics and creative writing, resulting in measurable improvements in student performance and comprehension.
  • Providing one-on-one and group tutoring sessions in Spanish, focusing on conversational fluency and grammatical accuracy.
  • Utilizing a variety of teaching techniques and tools to engage students and foster a positive learning environment.
• Co-Founder & Engineer, Fundare Finance (May 2024 – December 2024)
  • Leading the development of a Python and SQL-powered revenue growth management dashboard to streamline financial forecasting for small businesses.
  • Managing a cross-functional team in designing and implementing a scalable SaaS product using Tableau, incorporating iterative client feedback to enhance usability and functionality.
  • Conducting market research and user analysis to identify and address the pain points of small business owners, ensuring the product meets their needs effectively.
• Team Associate, Walmart Auto Care Center (Summer 2023)
  • Collaborated with a team of associates to optimize workflow processes, improving service time and customer satisfaction.
  • Conducted routine maintenance and repairs on customer vehicles, ensuring high-quality service and adherence to safety standards.
  • Assisted in training new employees, sharing best practices and promoting teamwork and efficiency.
• Student Technician, Instructional Technology Services, UT Austin (Jan 2022 – Aug 2022)
  • Analyzed large datasets with Tableau and Excel to streamline workflows and generate actionable reports for the department.
  • Resolved over 50 technical issues while coordinating with cross-functional teams using Agile methodologies, enhancing overall efficiency and productivity.
  • Developed training materials and conducted workshops to support faculty and staff in the use of instructional technology tools.
• Mathematics Teacher, Abacus Brain Gym (Jan 2017 – Aug 2021)
  • Designed and implemented gamified learning techniques and adaptive curricula, increasing student engagement by 25%.
  • Partnered with fellow educators to revamp curricula, resulting in a 15% improvement in student test scores.
  • Conducted workshops for parents and students to demonstrate the benefits of advanced mathematics education and foster a collaborative learning environment.

Skills

• Programming Languages: Python, C, C++, Java, SQL
• Web Development: HTML, CSS, JavaScript, React.js, MongoDB
• Machine Learning & AI: TensorFlow, PyTorch, scikit-learn, XGBoost, CatBoost, Hugging Face, NLTK, CRNN/CNN/LSTM architectures, Attention Mechanisms, Time-Series Forecasting, Bayesian Modeling, Uncertainty Quantification
• Signal Processing & Healthcare AI: ECG/PPG Signal Processing (168+ rhythms & morphologies), Temporal & Morphological Feature Engineering, Edge AI Deployment (ARM Cortex-M4F, quantized neural nets), Responsible AI (HIPAA, GDPR, PIPA compliance)
• Hardware & Embedded Systems: Verilog, SystemVerilog, ARM Cortex-M, PSpice, Embedded Battery Management Systems, BLE Telemetry, IoT Protocols (MQTT, REST APIs)
• Data Engineering & Cloud Workflows: ETL Pipelines, API Integration, Data Ingestion, Edge-to-Cloud Workflows, Metadata Cataloging, Encryption-at-Rest, Access Control Models, Jupyter, Pandas, NumPy, Matplotlib, Tableau, Streamlit
• Energy Systems & Microgrids: Microgrid Design & Integration, Modbus Communications, Node-RED Controls, ESS Commissioning, Energy Modeling, VRM Remote Monitoring
• Other Tools: Git, Agile Methods, Make.com, zapier.com, n8n.com, Notion

Honors and Leadership

• American Mathematics Competitions (AMC):
  • Achieved Top 2.5%; AIME Qualifier (9/15).
• American Regional Mathematics League:
  • Secured 3rd Place Nationally.
• Texas Alliance for Minorities in Engineering:
  • Awarded 2nd Place.
• IEEE Robotathon:
  • Designed and built an Arduino-powered robot, earning 2nd Place in the Mechanical Design competition.
• TEDxYouth@Austin Co-Organizer:
  • Co-organized the world’s largest TEDxYouth event, securing $30k in sponsorships and hosting over 1,100 attendees.
• Captain of Punjabbawockeez:
  • Led a nationally competitive Bollywood fusion dance team, managing performances, finances, and community service initiatives, including fundraising for cancer research through Texas Thon.