
SANIKA RAUL
@sanikaraul
I build data-driven applications and test reliable software workflows.
What I'm looking for
I've built secure, role-based applications and data-driven AI solutions through my project work at BARC Tarapur and VCET.
At BARC Tarapur, I developed a Material Accounting System with PDF reporting and Excel bulk imports, processing 1,000+ records with 100% accuracy and reducing manual effort by 70%. I also conducted functional and integration testing for the NUMAC application and benchmarked OCR engines, recommending PaddleOCR after achieving up to 95% accuracy in controlled testing.
I built MatriCare AI, a maternal and fetal health platform with AI-powered risk scoring, referrals, multilingual support, and access to government health centers. I also developed SAR2OPTICAL, training a Pix2Pix GAN on 16,000 Sentinel image pairs to improve satellite image interpretability.
As Business Plan Head for VCET Solecthon, I led a five-member team and secured first place in four of five competitions. My research has been presented at Springer ICDLAI 2025, IEEE ICoEIT 2025, and IEEE INDIACom 2024.
Experience
Work history, roles, and key accomplishments
Project Trainee
BARC Tarapur
Dec 2024 - Jan 2025 (1 month)
Built a secure, role-based Material Accounting System with automated PDF report generation and Excel bulk data import, processing 1,000+ records with 100% accuracy and reducing manual effort by 70%. Designed a responsive, multi-module user interface and conducted functional and integration testing of the NUMAC application.
Business Plan Head
VCET Solecthon
Jan 2023 - Dec 2024 (1 year 11 months)
Led the VCET Solecthon Business Plan team for 2 years, securing 1st place in 4 out of 5 competitions. Developed and presented 6+ business plans and mentored a 5-member team, improving presentation clarity by reducing slide content by 40%.
Education
Degrees, certifications, and relevant coursework
Vidyavardhini's College of Engineering and Technology
Bachelor of Engineering, Computer Science and Engineering (Data Science)
Grade: 8.10 CGPA
Pursuing a Bachelor of Engineering in Computer Science and Engineering (Data Science) with a CGPA of 8.10.
Atomic Energy Junior College
Higher Secondary Certificate, Science
Grade: 68%
Completed Higher Secondary Certificate in Science with 68%.
Atomic Energy Central School
Secondary School Certificate
Grade: 68%
Completed Secondary School Certificate with 68%.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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