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Computer Science Undergraduate building end-to-end AI/ML applications and full-stack solutions.
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Assessing your cultural and operational fit
Computer Science undergraduate experienced in building end-to-end AI/ML applications and full-stack solutions. Proficient in PyTorch, Scikit-learn, OpenCV, and REST APIs, with hands-on expertise in deep learning, data pipelines, and LLM API integration.
University of Engineering and Management
B.Tech · Computer Science and Engineering
August 1, 2022 – June 30, 2026
Kendriya Vidyalaya No. 2 (Army)
Class 10 · CBSE
N/A – May 31, 2020
Kendriya Vidyalaya No. 3
Class 12 · CBSE
N/A – May 31, 2022
Multimodal Medical Chatbot
January 1, 2025 – June 1, 2026
Built a 3-modality (voice + image + text) health chatbot with sub-2s response time; integrated 2 medical APIs with NLP intent parsing at ~85% accuracy, handling 15+ medical query categories. Engineered the full inference pipeline: audio capture → voice-to-text → image preprocessing → Gemini LLM prompt construction → response rendering; validated across 10+ real-world use cases.
View ProjectAI Math Solver – Hand Gesture Tracking
January 1, 2025 – June 1, 2026
Built a real-time fingertip equation solver using MediaPipe landmark detection + OpenCV rendering at 24+ FPS; integrated Gemini AI achieving 90%+ solve accuracy across 15+ equation types. Implemented a CNN-backed gesture-to-expression parser eliminating keyboard input entirely; validated across fractions, exponents, and multi-step algebraic problems.
View ProjectComprehensive Study Resource Platform
January 1, 2025 – June 1, 2026
Full-stack platform centralizing 100+ programming resources; PHP/MySQL backend with responsive JS frontend reduced average content-search time by 40%.
Ransomware Network Detection ML Classifier
January 1, 2025 – June 1, 2026
Trained a Random Forest/XGBoost supervised classifier on 5,000+ network traffic samples; achieved 93%+ accuracy and reduced false-positive rate by 18% vs. baseline using threshold tuning. Built an end-to-end ML data pipeline: data cleaning, feature engineering on 20+ attributes, dimensionality reduction (PCA), model training with cross-validation, and evaluation (ROC-AUC, F1-score).
View ProjectSoft Skill Development & Enhancing Personality
NPTEL
June 1, 2026 – Present
Generative AI: Introduction and Applications
Coursera
June 1, 2026 – Present
Joy of Computing using Python
NPTEL
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest and initiative in AI/ML, particularly in multimodal systems, network security, and computer vision, which aligns well with an AI Engineer role. The diversity of projects (chatbot, ML classifier, gesture tracking, full-stack platform) shows a broad technical curiosity and willingness to explore different domains. The certifications in Generative AI and Python further reinforce their commitment to the field. However, the lack of professional experience means cultural fit in a corporate environment is largely unproven.
Soft Skills & Operational Fit
The candidate's resume highlights academic projects that involve complex problem-solving and integration of various technologies, suggesting a strong aptitude for technical challenges. The 'Soft Skill Development & Enhancing Personality' certification indicates an awareness and effort towards improving interpersonal and professional skills. However, without direct work experience or behavioral assessment data, it's difficult to fully assess operational fit, teamwork, and stress handling capabilities in a professional setting.