Sayali Londhe

Board-certified Ophthalmologist with 3+ years of clinical experience in comprehensive ocular diagnosis, surgical care and evidence-based practice. Specialises in multimodal ophthalmic imaging interpretation — OCT, fundus photography, visual field analysis and ultrasound with structured clinical documentation. Experienced in glaucoma research, diagnostic workflow design, and translating complex clinical findings into standardised, reproducible data.

Actively seeking to apply clinical expertise to AI model training, medical dataset annotation and clinical validation, ensuring AI systems accurately reflect real-world ophthalmology diagnosis and therapeutic decision-making.

Senior Resident — Ophthalmology at Rajawadi BMC Hospital (2025-06 – Present)

• Independently perform cataract surgeries and assist in complex ophthalmic procedures, documenting pre-/intra-/post-operative findings in structured clinical records — directly analogous to AI annotation workflows.
• Diagnose and manage high-volume anterior and posterior segment pathologies in adult patients, generating rich, standardised clinical datasets suitable for AI ground-truth labelling.
• Lead specialist role in community eye screening camps for glaucoma and cataract — designing and applying standardised diagnostic criteria across diverse patient populations.
• Evaluate and interpret multimodal imaging (OCT, fundus photography, perimetry) for clinical decision-making, with accuracy and rigour required for AI model training and quality assurance.

Junior Consultant Ophthalmologist at Dr. Nikhil Gokhale Eye Clinic (2025-04 – 2025-06)

• Performed detailed anterior and posterior segment evaluations, improving diagnostic accuracy through systematic, reproducible examination protocols.
• Standardised the integration of OCT, perimetry, and fundus photography into routine diagnostic work-ups, creating consistent documentation frameworks aligned with AI training dataset requirements.
• Interpreted and communicated complex imaging findings clearly to colleagues and patients, demonstrating ability to translate clinical data for non-specialist technical audiences.

DNB Ophthalmology Resident at Bhabha Atomic Research Centre & Hospital (BARC) (2022-02 – 2025-02)

• Managed a broad caseload of outpatient and inpatient ophthalmology cases, developing expertise in documenting disease presentations, diagnoses, and treatment responses in structured formats.
• Performed and assisted in ophthalmic surgeries (cataract, glaucoma); created structured clinical notes capturing procedural steps and outcomes — directly applicable to AI training annotation.
• Participated in journal clubs and case discussions, building skills in critically evaluating clinical evidence and assessing alignment with established standards — analogous to AI model QA and review.
• Conducted comprehensive ocular examinations (slit-lamp biomicroscopy, IOP measurement, gonioscopy, dilated fundus evaluation) and documented findings using standardised templates.
• Gained proficiency in ophthalmic ultrasound (A-scan biometry, B-scan imaging) for pre-surgical assessment and pathology evaluation.

DNB Ophthalmology in Ophthalmology – Bhabha Atomic Research Centre & Hospital (2022 – 2025)

MBBS in Bachelor of Medicine, Bachelor of Surgery – Tver State Medical University (2012 – 2018)