Vedica Saini
@vedicasaini
Computer Science undergraduate building practical AI-powered applications for real-world Indian impact.
What I'm looking for
I’m a Computer Science undergraduate with an AI/ML minor, passionate about building practical AI-powered applications—especially ones relevant to Indian users and real-world contexts. I enjoy turning research ideas into working products, not just prototypes.
My work spans full-stack AI systems, computer vision, NLP, and data analytics. From internships in UI/UX and a startup founders office, I’ve learned how to iterate fast, collaborate closely with teams, and document clearly so work actually ships.
I’ve built AI products like CalCount, an Indian food nutrition tracker PWA with a 1,000+ item database and natural-language logging via LLaMA3 (Ollama). I also created predictive models for heart disease and diabetes (using Random Forest/Logistic Regression with SMOTE) and reached ~91% accuracy, plus a privacy-preserving cognitive load classifier with ~88% F1-score.
Currently, I’m exploring deep learning, efficient AI, and applied ML—always looking for opportunities where technology creates tangible impact. If the role involves building, measuring, and improving real systems, I’m ready to contribute.
Experience
Work history, roles, and key accomplishments
UI/UX Intern
Digital Group Infotech Pvt. Ltd.
Jun 2025 - Feb 2026 (8 months)
Designed and iterated mobile application interfaces across multiple projects, identifying and resolving UI issues in collaboration with the development team. Used AI-driven design-to-code tools to speed up UI/UX handoff and authored technical documentation for delivered components.
Founders Office Intern
SPICE
Aug 2024 - Oct 2024 (2 months)
Managed the campus partnership between SPICE and Manipal University Jaipur by coordinating logistics and communication on both sides. Drove student outreach and in-campus promotion of the SPICE app, contributing to 1,000+ downloads from the MUJ cohort.
Education
Degrees, certifications, and relevant coursework
Manipal University Jaipur
Bachelor of Technology, Computer Science & Engineering
2023 -
Grade: CGPA 8.74/10
Pursuing a B.Tech in Computer Science & Engineering with a minor in AI & Machine Learning. Currently maintaining CGPA of 8.74/10.
Manipal University Jaipur
Bachelor of Technology (B.Tech), Computer Science & Engineering
2023 -
Grade: CGPA 8.74/10
Pursuing a B.Tech in Computer Science & Engineering with an AI & Machine Learning minor. Currently maintaining a CGPA of 8.74/10 while building practical AI-powered applications.
Sanskriti School
Higher Secondary (CBSE)
Grade: 89%
Completed CBSE Class XII with 89% at Sanskriti School in New Delhi.
Sanskriti School
Senior Secondary (CBSE), CBSE Class XII
Grade: 89%
Completed CBSE Class XII at Sanskriti School with 89%.
N. St. Matthews School
Secondary (CBSE)
Grade: 89.4%
Completed CBSE Class X with 89.4% at N. St. Matthews School in Vijayawada.
N. St. Matthews School
Secondary School Certificate (Class X), CBSE Class X
Grade: 89.4%
Completed CBSE Class X at N. St. Matthews School with 89.4%.
Availability
Location
Authorized to work in
Job categories
Skills
Interested in hiring Vedica?
You can contact Vedica and 90k+ other talented remote workers on Himalayas.
Message VedicaFind your dream job
Sign up now and join over 100,000 remote workers who receive personalized job alerts, curated job matches, and more for free!
