
B.S. Data Science @ IIT Madras | ML Engineer | NLP learner Building projects that actually run, not just notebooks
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
CropIQ
June 2, 2026 – Present
CropIQ AI-powered crop intelligence for smarter farming decisions
View ProjectDigi_Blocker
April 9, 2026 – Present
Browser-based Block Diagram & Signal Flow Graph editor for control systems — drag-and-drop blocks, connect signals, and reduce diagrams to a single transfer function using series, parallel, and feedback algorithms.
View Projectmilitary-object-detection-ai
March 12, 2026 – Present
AI system for detecting military assets from aerial imagery using deep learning and computer vision.
View ProjectAI-Traffic-Flow-Optimizer
March 10, 2026 – Present
AI-powered traffic signal optimization with real-time vehicle detection and emergency green corridor generation.
View Projectmilitary-object-detection-yolov8
December 13, 2025 – Present
Military Object Detection Using YOLOv8 A deep-learning project to detect 12 classes of military & civilian assets using the YOLOv8 object detection model. This project was developed as part of the IIT BHU Hackathon challenge.
View ProjectAttenFlow-Web
September 10, 2025 – September 16, 2025
More Advance and Secure Attendance System for All College Requirements.
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards AI/ML and data science, which aligns with a Data Scientist role. However, the projects are all personal and lack diversity in team collaboration or real-world business context. The breadth of technologies used is somewhat limited, primarily focusing on Jupyter Notebook for AI/ML and basic web technologies for other projects. This suggests a potential fit for roles focused on individual contribution in AI/ML, but less so for roles requiring broader system integration or diverse technical stacks.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.