CV

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Education

• Batchlors in Computer Science and Information Technology with Honors, Rajarambapu Institute of Technology, India, 2024
• Diploma in Computer Engineering, Cusrow Wadia Institute of Technology, Pune, 2021

Work experience

• July 2025 - Present: Junior Research Fellow, JISIASR
  • Working on EEG-based machine learning models to develop neuro-biomarkers that can differentiate between Virtual Autism and Actual Autism.
  • Collaborating with the Institute of Neurosciences, Kolkata for clinical data collection and validation.
  • The project is funded by the Anusandhan National Research Foundation (ANRF), Government of India.
  • Supervisor: Dr. Kasturi Barik (Ph. D. IIT Kharagpur)
• Jan 2025 - June 2025: Data Scientist, Core AI
  • In my previous role as a Data Scientist, I worked with 3D MRI images of Alzheimer’s patients, along with longitudinal data acquired from the Alzheimer’s Disease Neuroimaging Initiative (ADNI).
  • Analyzed longitudinal data to identify patterns and track disease progression, helping detect patient variations early for timely intervention.
  • Developed models that integrated MRI and textual data to diagnose patients based on plasma-based biomarkers
  • Supervisor: Dr. Sidharth Pancholi
• Jan 2024-July 2024: Research Assistant
  • Rajarambapu Institute of Technology, India
  • Collaborated with Dr. V. H. Kalmani on a research project focused on applying vision transformers for the segmentation of kidney blood vessels in HIP CT scans.
  • Developed algorithms and scripts to generate 3D reconstructions of blood vessel networks from CT scan images, allowing for detailed anatomical study and quantitative analysis
  • Developed a novel hybrid loss function for kidney blood vessel segmentation. Combined Log Cosh Dice loss and Binary Cross Entropy. Achieved state-of-the-art performance with Dice coefficient of 0.9308.
• Oct 2023− Jan 2024: Computer Vision Intern, Cognautica
  • Interning at Cognautica a startup based in San Francisco, I actively contribute to the development of an AI grader system for U.S. schools, with a primary focus on refining OCR accuracy for paper PDFs.
  • Integrated LaTeX OCR pipeline to convert images of equations to latex code readable to LLM.

Skills

• Programming Laungauges
  • Python
  • C++
  • Java
• Deep Learning
  • Computer Vision
  • Large Laungauge Models
  • Statistical Analysis
• Cloud
  • AWS
  • GCP
• Framework
  • Flask
  • StreamLit
  • FastAPI

Service and leadership

• IUCEE EWB(Engineers Without Borders), RIT
  • Oct 2022 - July 2023 (President)
  • Planned sustainability-based events for Engineering students.
  • Maintained energy and enthusiasm in fast-paced environment.
  • Learned new skills and applied to daily tasks to improve efficiency and productivity.