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Computer Science Undergraduate | AI/ML & Full-stack Developer with focus on Deep Learning and LLM in
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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. 3
Class 12 · CBSE
N/A – May 31, 2022
Kendriya Vidyalaya No. 2 (Army)
Class 10 · CBSE
N/A – May 31, 2020
Multimodal Medical Chatbot
June 1, 2026 – Present
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 ProjectRansomware Network Detection ML Classifier
June 1, 2026 – Present
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 ProjectAI Math Solver – Hand Gesture Tracking
June 1, 2026 – Present
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
June 1, 2026 – Present
Full-stack platform centralizing 100+ programming resources; PHP/MySQL backend with responsive JS frontend reduced average content-search time by 40%.
Generative AI: Introduction and Applications
Coursera
June 1, 2026 – Present
Joy of Computing using Python
NPTEL
June 1, 2026 – Present
Soft Skill Development & Enhancing Personality
NPTEL
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest in diverse AI/ML applications, from medical chatbots to network security and gesture tracking. This breadth of interest and willingness to explore different domains aligns well with an innovative and learning-oriented culture. The inclusion of a full-stack project also shows versatility. However, all projects are academic, and there is no professional experience, which limits the assessment of cultural fit in a corporate environment.
Soft Skills & Operational Fit
The candidate's project descriptions highlight problem-solving skills, attention to detail in model evaluation (e.g., reducing false positives, achieving high accuracy), and an ability to integrate multiple technologies to achieve functional solutions. The 'Soft Skill Development & Enhancing Personality' certification suggests an awareness and effort towards improving interpersonal and professional skills, which is positive for team collaboration. However, without direct work experience, operational fit in a professional team setting is yet to be fully validated.