Rishika Rohila

Graphic Era Hill University

Dehra Dūn, Uttarakhand, India

Since April 20, 2026

About

I build scalable and user-friendly web applications using modern JavaScript technologies. I have hands-on experience in developing full-stack projects with strong backend logic, API design, and responsive interfaces. I have worked on projects like a real-time chat system and an image generation platform, and I also have exposure to machine learning and computer vision. I am eager to learn, grow, and contribute to impactful products.

Skills

NosqlReactjsNode.jsAws ServicesSQL ServerExpress.JsGit-GitHubMongoDBHtml CssHTML5JavaScriptRestful Apis

Education

Graphic Era Hill University

MCA · Cmputer Applications

August 21, 2024 – May 31, 2026

Kumaun University

BCA · Computer Applications

October 3, 2021 – May 13, 2024

Key Strengths

Strong academic background with ongoing Masters in Computer Applications (MCA) and a completed Bachelors in Computer Applications (BCA) with good CGPA.
Demonstrated practical experience in AI/ML and Computer Vision through projects like 'VisionRide AI: Helmet Detection System' utilizing YOLO and OpenCV, achieving 90%+ accuracy.
Proficiency in relevant programming languages and frameworks for AI/ML development, including Python, Deep Learning, ML, Computer Vision, YOLO, FastAPI, and Streamlit.
Experience in full-stack web development (MERN stack, Node.js, React.js, Express.js, MongoDB) which is valuable for deploying AI-powered web applications (e.g., ImageCrafter, Talkiee).
Participation in a hackathon, demonstrating leadership, collaboration, and problem-solving skills in a team setting.
Experience with multi-stream video processing pipelines and API optimization, relevant for real-time AI systems.

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score of 0 raises serious concerns about the candidate's cultural fit, specifically in areas of work attitude, stress handling, and team collaboration. This score suggests potential difficulties in integrating into a collaborative work environment.

Soft Skills & Operational Fit

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Identifying your key strengths…

Evaluating your skill match against the job requirements…

Key Strengths

Strong academic background with ongoing Masters in Computer Applications (MCA) and a completed Bachelors in Computer Applications (BCA) with good CGPA.
Demonstrated practical experience in AI/ML and Computer Vision through projects like 'VisionRide AI: Helmet Detection System' utilizing YOLO and OpenCV, achieving 90%+ accuracy.
Proficiency in relevant programming languages and frameworks for AI/ML development, including Python, Deep Learning, ML, Computer Vision, YOLO, FastAPI, and Streamlit.
Experience in full-stack web development (MERN stack, Node.js, React.js, Express.js, MongoDB) which is valuable for deploying AI-powered web applications (e.g., ImageCrafter, Talkiee).
Participation in a hackathon, demonstrating leadership, collaboration, and problem-solving skills in a team setting.
Experience with multi-stream video processing pipelines and API optimization, relevant for real-time AI systems.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit