THARUN KATIKIREDDY
Biomedical Engineering | AI for Healthcare | Founder, DiagnoSphere.X

Email:    tharuntej6259@gmail.com
Phone:    +91 7036834428
LinkedIn: linkedin.com/in/tharuntejdiagnospherex
Web:      https://www.diagnospherex.tech
Location: Guntur, India

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PROFESSIONAL SUMMARY
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Biomedical Engineering undergraduate and Founder of DiagnoSphere.X,
driven by a research interest in Artificial Intelligence for
Healthcare, Biomedical Signal Processing, Medical Imaging,
Explainable AI, and Intelligent Clinical Systems. My work focuses
on computational approaches that bridge engineering, medicine, and
data-driven intelligence to address real-world clinical challenges.
I am actively engaged in designing AI-assisted frameworks for ECG
and EEG analysis, biomedical data intelligence, and intelligent
clinical decision support, while exploring next-generation
approaches in uncertainty-aware medical AI and computational
healthcare.

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WORK EXPERIENCE
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Founder | DiagnoSphere.X
December 2024 - Present
- Founded and lead DiagnoSphere.X, a student-led HealthTech
  initiative dedicated to advancing AI-driven healthcare research,
  intelligent biomedical systems, and digital health innovation.
- Direct multidisciplinary research and prototype development
  across Biomedical Engineering, AI, Biomedical Signal Processing,
  and Clinical Engineering.
- Lead the design and technical development of research initiatives
  spanning ECG/EEG intelligence, medical imaging, clinical decision
  support, explainable AI, and computational healthcare.

Biomedical Engineering Intern | KIMS Hospital
June 2026 - Present
- Hands-on clinical engineering experience with maintenance,
  inspection, troubleshooting, and operational assessment of
  biomedical equipment across ICUs, operation theatres, and
  critical-care environments.
- Worked with ventilators, ECG systems, infusion/syringe pumps,
  patient monitoring systems, defibrillators, ultrasound
  equipment, incubators, and other life-support devices.
- Developed understanding of hospital clinical engineering
  workflows, preventive maintenance, equipment lifecycle
  management, and quality assurance.

Undergraduate Researcher | Vignan's Foundation for Science,
Technology & Research
July 2025 - Present
- Conduct undergraduate research applying AI and Biomedical
  Signal Processing to intelligent healthcare systems.
- Develop computational methodologies for ECG/EEG analysis,
  Explainable AI, biomedical data intelligence, and AI-assisted
  clinical decision support.
- Design research prototypes integrating ML, biomedical
  engineering principles, and computational modeling.

Workshop Organizer | DiagnoSphere.X
December 2024 - Present
- Organized STEM and technology workshops in AI, programming,
  biomedical engineering, and emerging healthcare technologies.
- Designed interactive experiences combining demonstrations,
  hands-on learning, and research-oriented problem solving.
- Led end-to-end workshop planning, content development,
  volunteer management, and participant engagement.

Community Health Awareness Coordinator | NSS
July 2025 - June 2026
- Coordinated community-based health awareness initiatives under
  the National Service Scheme.
- Organized outreach with faculty, volunteers, and student teams
  to promote healthcare awareness in rural communities.
- Contributed over 40 hours of structured community service.

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RESEARCH & TECHNICAL PROJECTS
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DiagnoSphere.X - AI-Powered Healthcare Intelligence Platform
Founder & Lead Developer | Ongoing
Designing an AI-driven healthcare platform for clinical decision
support, medical report interpretation, and intelligent health
data analysis for patients, students, and clinicians. Integrates
biomedical AI, explainable ML, and digital health technologies.
Technologies: Python, FastAPI, Flutter, Firebase, AI/ML, REST APIs
Website: https://www.diagnospherex.tech

MED Quantum NIN - Uncertainty-Aware ECG Intelligence Framework
Research Project | Ongoing
AI-assisted framework for intelligent ECG interpretation
integrating biomedical signal processing, explainable AI, and
uncertainty-aware computational modeling for trustworthy medical
AI and clinically interpretable decision support.
Areas: ECG Analysis, Explainable AI, Signal Processing, Medical AI
Project: https://medquantumninai.vercel.app

EchoSphereX - Offline Biomedical Image Transmission
Research Prototype | Ongoing
Secure offline communication framework for transmitting biomedical
images using SSTV/MFSK acoustic encoding for low-resource and
connectivity-limited healthcare environments.
Technologies: Python, DSP, SSTV, MFSK, Medical Imaging
Project: https://echospherextharun.netlify.app

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TECHNICAL SKILLS
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Programming:        Python, MATLAB
Artificial Intelligence: Machine Learning, Deep Learning,
                    Explainable AI, Healthcare AI
Biomedical Eng.:    Biomedical Signal Processing, ECG & EEG
                    Analysis, Medical Imaging, Clinical
                    Engineering, Biomedical Instrumentation
Scientific Comp.:   MATLAB, COMSOL Multiphysics, LabVIEW,
                    Blender (Scientific Visualization)
Development:        Flutter, FastAPI, Firebase, Git, REST APIs
Research Interests: Medical AI, Computational Healthcare, Digital
                    Health, Brain-Computer Interfaces, Medical
                    Informatics, Intelligent Clinical Systems

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EDUCATION
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B.Tech, Biomedical Engineering
Vignan's Foundation for Science, Technology & Research (VFSTR)
CGPA: 7.78 / 10

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DiagnoSphere.X welcomes students and researchers interested in AI,
Biomedical Engineering, Software Development, and HealthTech
Innovation through research-oriented internship opportunities.