Mohammad Asad

I am a physician who builds systems, not just diagnoses. Six years of clinical training across government and private hospitals, a self built medical education platform that reached over five million people, a self taught year in AI tools, automation and database design, and a live product carrying 10,000+ users. I understand disease, diagnosis and hospital workflow from inside the ward, and I understand how to turn that understanding into a system that scales beyond one doctor and one patient at a time.

That combination, clinical judgment plus applied AI and product thinking, is what I bring to Clinical AI and HealthTech teams. I do not need the clinical problem explained to me, and I do not need to be walked through how a data driven product gets built. I have done both.

MBBS Student - Indira Gandhi Medical College & Hospital, Shimla - Shimla

(2016-01 - 2022-12)

AIR 1136, NEET UG; state government tertiary medical college in the Himalayas

• Secured All India Rank 1136 in NEET UG, a result that opened admission to colleges across the country, and chose a government medical college in the mountains, IGMC Shimla, on purpose, over metro options with a bigger name.
• Trained across Internal Medicine, Surgery, Pediatrics, Obstetrics & Gynaecology, Psychiatry, Orthopaedics, ENT, Ophthalmology, Dermatology, Community Medicine and Emergency Medicine, including internship in the same institution.
• Chose that hill state exposure deliberately: treating patients who faced real distance and terrain barriers to tertiary care taught me what geography does to a diagnosis, a lesson no metro hospital could have given me.

Founder - Doctor Dark

(2022-01 - 2023-12)

Full time medical education platform, YouTube, 150K+ subscribers, 5M+ reach

• Built a medical education platform from zero to 150K+ subscribers, translating clinical and scientific concepts into content that a non expert audience could understand, trust and act on.
• Learned first hand where patients and students get confused by medical information, the exact failure point that patient facing AI health tools have to design around.

Clinical Practice - Neurosurgery, Emergency & General Medicine - SGRR Hospital, Dehradun and Navya Hospital, Kashipur - Dehradun and Kashipur

(2023-01 - 2024-12)

SGRR Hospital, Dehradun (4 months) and Navya Hospital, Kashipur (6 months)

• Managed acute neurosurgical and emergency presentations at SGRR Hospital, a high volume tertiary system, making time critical decisions from limited and often incomplete data, the exact constraint an AI triage or diagnostic support tool has to work within.
• Coordinated across radiology, anaesthesia, nursing and allied departments, building a working understanding of how clinical data actually moves, and where it gets lost, across a hospital system.
• Delivered frontline diagnosis and treatment at Navya Hospital, a resource constrained, smaller city setting, where the assumptions built into most urban trained AI health tools do not hold.
• Saw first hand how access, affordability and health literacy change clinical outcomes independent of the diagnosis itself, a bias that any health AI system has to be designed around, not ignored.

Independent Study - AI, Automation and Applied Systems - Independent Study

(2024-01 - 2025-12)

Self directed technical upskilling

• Spent a year deliberately building technical depth: AI assisted and vibe coding workflows, prompt engineering, marketing and workflow automation, and relational database design.
• Worked directly with React, Flutter, Capacitor and REST API driven builds, giving me the working vocabulary to sit inside an engineering conversation, not just outside it.
• Used this year to study the real problems students and patients face before writing a single line of a solution, rather than starting from the technology.

Founder - Campus Insiderz

(2025-01)

Student powered decision support platform, 10,000+ app downloads

• Designed and shipped RankLens, a data driven counselling engine that converts rank, category, domicile, budget, eligibility and historical closing rank data into a single, actionable college recommendation, the same input to output logic a clinical decision support engine runs on.
• Owned the full product lifecycle: problem discovery, user research, product design, working with developers, and iteration based on real user behaviour.
• Grew the platform past 10,000+ downloads and built a student ambassador network, proving I can take a data heavy, high stakes decision problem from concept to a product real users depend on.

MBBS - Medicine - Indira Gandhi Medical College & Hospital, Shimla (2016-01 - 2022-12)