🧪 Research Experience
- Graduate Research Assistant, Texas A&M University, College Station, TX
Jan 2022 – Present- Leading research at the intersection of AI and cybersecurity, focusing on privacy, cryptography, adversarial robustness, and LLM trustworthiness.
- Designed a deep learning framework to assess cryptographic indistinguishability with explainable AI and LLMs.
- Developed a deep learning attack exposing flaws in honeyword-based authentication, identifying real passwords with up to 53% first-attempt and 99% ten-attempt success rates.
- Designed and developed a robust MPC protocol for secure, verifiable ML inference in adversarial settings.
- Co-developed FPTrace to expose the use of browser fingerprinting for ad tracking, even under GDPR/CCPA compliance.
- Co-investigated ethical risks in on-device SLMs, uncovering failures in filtering, fairness, and user privacy.
- Graduate Research Assistant, Texas A&M University–Corpus Christi, Corpus Christi, TX
Aug 2017 – Aug 2019- Led a high-throughput phenotyping project using UAVs to capture multispectral crop imagery.
- Applied computer vision algorithms for plant stress detection, enabling early-stage yield prediction.
- Trained supervised ML models to analyze plant growth patterns and health indicators from 3D data.
- Integrated UAV imaging workflows into agricultural pipelines, improving operational efficiency by 30%.
- Worked in a cross-disciplinary team bridging computer science, agronomy, and geospatial analytics.
🏢 Industry Experience
- Software Engineering Intern, Apollo Tyres Limited, Vadodara, India
Jan 2017 – May 2017- Developed a tyre rating and mould management system that reduced manual processing time by 35%.
- Built interactive web dashboards to visualize defect trends and operational performance.
- Improved system reliability by 25% through backend optimizations and error tracking tools.
- Collaborated across QA, production, and IT teams to gather user feedback and iterate on design.
- Increased tyre evaluation accuracy by 20% by integrating automated scoring algorithms.
- Embedded Systems & Robotics Intern, Hewlett-Packard, Pune, India
June 2015 – July 2015- Developed a gesture-controlled vehicle using tilt sensors and embedded microcontroller systems.
- Engineered real-time gesture recognition algorithms, improving latency by 30%.
- Led sensor fusion and calibration efforts to enhance control precision and signal reliability.
