United States
I’m a Biomedical Engineer passionate about advancing healthcare through innovation. With a Master’s degree from the University at Buffalo (May 2025) and a Bachelor's in Biomedical Engineering, I specialize in developing, testing, and validating medical technologies that improve clinical outcomes and patient quality of life. My expertise spans medical device engineering, rehabilitation systems, and AI-powered assistive technologies, along with hands-on experience in ICU/OR environments. I’m highly skilled at translating biomedical concepts into functional, user-centered products with clinical relevance. 🧪 Projects & Achievements: Designed a VR-integrated tDCS system for vestibular rehab using 3D-printed EEG-mounted electrodes, integrated with Meta Quest 3. Improved electrode stability by 70% through signal analysis (RMS, SD, velocity). Developed AI-powered smart glasses for the visually impaired using YOLO, PaddleOCR, and IBM Watson TTS to deliver real-time object and text detection with auditory feedback. Built a neuroadaptive mirror therapy device with EMG-based biofeedback for amputee rehab, enhancing motor function and pain management. Supported ICU device maintenance during internships at The Madras Medical Mission and Bio Vision Medical Systems in managing ventilators, infusion pumps, ECG monitors, defibrillators, and more, while ensuring NABH/ISO compliance. 💊 Domain Skills: R&D | Biomedical Prototyping | Signal Processing (EMG, EEG, ECG) | Rehabilitation Systems Clinical Equipment | Assistive Technologies | Wearable Systems Quality Assurance | Preventive Maintenance | Device Validation Troubleshooting | Equipment Calibration | Medical Compliance Diagnostic Devices | Sensor-Based Monitoring | Bioinstrumentation 💻 Technical Stack: Programming & Data Analysis: Python, MATLAB, SQL, GNU Octave Embedded Systems: Arduino, Raspberry Pi CAD & Fabrication: Fusion 360, AutoCAD Eagle, 3D Printing, 3D Slicer Modeling & Simulation: OpenSim AI/ML & Vision: YOLO Algorithm, PaddleOCR, IBM Watson Text-to-Speech Cloud & DevOps: AWS (Lambda, Redshift, EC2, S3, CloudWatch), HTML/CSS 🎯 Career Goals: I’m actively seeking full-time opportunities where I can apply my expertise in: Biomedical R&D and Device Development Clinical and Rehabilitation Engineering Diagnostics, Quality Systems, or Regulatory Affairs Let’s connect if you’re building impactful healthcare solutions—I’m ready to contribute!
• Engineered an integrated system combining transcranial Direct Current Stimulation (tDCS) with Virtual Reality (VR) to support dynamic vestibular therapy using the Meta Quest 3 headset. • Designed and fabricated custom 3D-printed PLA electrode patches (65mm x 65mm) to ensure stable electrode placement during motion-intensive VR tasks. • Enabled precise targeting of scalp locations (Fp1–Fp2, F3–F4, P3–P4) through integration with EEG caps and reconfigurable, non-intrusive mounting mechanisms. • Conducted immersive rehabilitation protocols (e.g., TUG test, head rotations, lateral turns), capturing real-time motion data via onboard IMUs and infrared sensors. • Processed motion signals using Butterworth low-pass filtering (cutoff = 2 Hz) and performed quantitative analysis in Python to extract key metrics: linear and angular velocity/acceleration, RMS, peak amplitude, standard deviation, and variance. • Evaluated system performance under cap-on vs. cap-off conditions, observing a 70% improvement in electrode stability during rapid movements with the 3D-printed patch. • Confirmed system safety and reliability, demonstrating potential to enhance neuroplasticity, postural control, and motor-cognitive rehabilitation through synchronized neuromodulation and VR interaction.
Responsible for developing data pipelines for data analytics application using AWS cloud services. Integrated many AWS services by creating instances and loading data into the Storage buckets and analyzing them using Amazon Redshift Services using AWS Lambda/Cloudswatch.
During my internship training programme at Cognizant in the Data-Amazon Web Services domain, I learned basic AWS services and other coding languages.
• Assisted in the technical management, calibration, and preventive maintenance of 50+ critical care and diagnostic medical devices, ensuring 98% equipment readiness across ICU and surgical units. • Operated and troubleshooted high-priority ICU equipment including ventilators, infusion pumps, defibrillators, anesthesia machines, ECG monitors, and heart-lung machines. • Performed safety checks and corrective maintenance in compliance with NABH and ISO standards, enhancing hospital equipment reliability and patient safety. • Observed and supported biomedical equipment validation and sterilization workflows using autoclave machines across hematology, pathology, and biotech labs. • Collaborated with senior biomedical engineers on vendor coordination, procurement processes, and regulatory documentation to streamline device acquisition and uptime. • Shadowed senior BMETs during emergency repair calls, gaining real-time exposure to critical failure diagnostics and repair under clinical pressure. • Maintained detailed repair and service logs for ICU and diagnostic devices, supporting data-driven maintenance planning and compliance tracking. • Contributed to inventory management and optimization of clinical engineering workflows to improve hospital-wide operational efficiency.