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Software Engineer with less than a year in Full Stack Development and AI/ML with strong analytical s
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Assessing your cultural and operational fit
Final year B.Tech CS student (2026) specializing in Full Stack Development and AI/ML. Experienced in building production-ready Django REST APIs, Deep Learning models (NLP, CNN), and data-driven applications using Python, TensorFlow, and OpenCV. Secured Global Rank 6497 in TCS CodeVita Season 13 among 100,000+ participants. Strong foundation in OOP, REST API design, and Agile practices.
Shri Vaishnav Vidyapeeth Vishwavidyalaya, Indore
Bachelor of Technology · Computer Science
January 1, 2022 – Present
Finance Dashboard Backend
April 1, 2026 – Present
Built REST APIs for financial records management with role-based access control (Viewer, Analyst, Admin). Implemented JWT authentication with custom User model and email-based login replacing default Django auth. Designed dashboard analytics endpoints returning income/expense summaries, category breakdowns, and monthly/weekly trends using SQL aggregation. Applied soft delete, field-level input validation, and centralized error handling with consistent JSON responses. Structured project with clean separation across models, serializers, views, and permission layers.
View ProjectMind Bridge — Mental Health Detection System
January 1, 2025 – December 31, 2025
Built AI-powered mental health detection system analyzing facial expressions, speech signals, and text inputs. Implemented facial emotion recognition using CNNs trained on FER2013 dataset with improved classification accuracy. Performed data cleaning and feature engineering using Pandas and NumPy to prepare training datasets. Extracted audio features including MFCCs, pitch, and tone using Librosa for speech-based emotion detection. Integrated NLP-based chatbot for real-time user interaction and support.
TCS CodeVita Season 13
TCS
January 1, 2024 – Present
Python for Data Science
IBM Certified
January 1, 2024 – Present
Cloud Computing Fundamentals
NPTEL
January 1, 2024 – Present
Big Data Computing
NPTEL
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a blend of full-stack development (Finance Dashboard Backend) and AI/ML (Mind Bridge), indicating a diverse interest and adaptability. The specialization in Full Stack Development & Blockchain, coupled with AI/ML experience, suggests a broad technical curiosity. The participation in TCS CodeVita and various certifications show a proactive learning attitude and drive, which aligns well with a growth-oriented culture. However, the lack of professional experience means cultural fit is primarily inferred from academic and extracurricular activities.
Soft Skills & Operational Fit
The candidate lists Problem Solving, Team Collaboration, Communication, Technical Documentation, and Attention to Detail as core competencies. Project descriptions suggest practical application of problem-solving and collaboration, particularly in the Mind Bridge project. The structured approach to the Finance Dashboard Backend project indicates attention to detail and good operational practices.