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Vedica SainiVS
Open to opportunities

Vedica Saini

@vedicasaini

Computer Science undergraduate building practical AI-powered applications for real-world Indian impact.

India
Message

What I'm looking for

I’m looking for opportunities in applied ML/AI where I can build measurable products—ideally for Indian users. I want to explore deep learning and efficient AI, collaborate with strong teams, and turn research ideas into real applications.

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

DL

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.

Education

Degrees, certifications, and relevant coursework

Manipal University Jaipur logoMJ

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 logoMJ

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.

SS

Sanskriti School

Higher Secondary (CBSE)

Grade: 89%

Completed CBSE Class XII with 89% at Sanskriti School in New Delhi.

SS

Sanskriti School

Senior Secondary (CBSE), CBSE Class XII

Grade: 89%

Completed CBSE Class XII at Sanskriti School with 89%.

NS

N. St. Matthews School

Secondary (CBSE)

Grade: 89.4%

Completed CBSE Class X with 89.4% at N. St. Matthews School in Vijayawada.

NS

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%.

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