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Achievement: YOLOAchievement: Pull Sharkx2Achievement: Quickdraw

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DakshMehrotra/README.md
Daksh Mehrotra Header

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SYSTEM CONFIGURATION (ABOUT ME)

Profile Overview

I am Daksh Mehrotra, a Cloud and Machine Learning Engineer pursuing a B.Tech in Computer Science and Engineering at UPES Dehradun. Currently executing advanced research as a Nanoelectronics R&D Intern at IIT Roorkee.

  • Base Locator: Dehradun, Uttarakhand, India
  • Academic Track: B.Tech CSE @ UPES Dehradun
  • Core Focus: Designing and scaling intelligent Cloud, ML, and DevOps architectures
  • Current Thread: Deepening knowledge in Distributed Systems and System Design
  • Mission: Open to high-impact internships, R&D roles, and tech collaborations

If offline, system state is sleeping.

System Milestones

  • IBM ICE DAY: Runner-Up position
  • ACM Leadership: Secretary @ UPES ACM & Head of Events @ UPES ACM-W
  • Community Outreach: Organized 15+ tech events reaching 2400+ developers
  • Problem Solving: 150+ LeetCode problems (Badges: 50 & 100 days)
  • Unstop Ambassador: Campus representative driving developer engagement

TECHNOLOGY MATRIX

Machine Learning and Data Science

DevOps and Cloud Infrastructure

Languages and Core Systems

Databases and Tooling

FEATURED SOLUTIONS

NETRA

Type: Emergency-Aware Smart Traffic System
Core Stack: Python YOLOv8 GNN NetworkX
Operation: Dynamic optimization of traffic signals for emergency response vehicles using Graph Neural Networks and real-time computer vision models.
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Rakshaka

Type: Cybersecurity Intrusion Detection System
Core Stack: Python Machine Learning Pandas Scikit-Learn
Operation: ML-driven network security pipeline running real-time traffic anomaly scanning to predict and flag unauthorized network intrusion attempts.
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ShipStack

Type: Continuous Integration and Deployment Pipeline
Core Stack: Docker GitHub Actions AWS Nginx
Operation: Zero-touch automated deployment framework executing application containerization, testing, and rollout to AWS EC2 with zero-downtime.
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CloudNova

Type: Serverless AWS Cloud Resource Optimizer
Core Stack: Python Boto3 AWS Lambda CloudWatch
Operation: Serverless orchestrator analyzing AWS metric feeds to detect anomalies and scale down underutilized nodes to maximize cost savings.
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FaceDetect

Type: Robust Real-Time Face Detection Pipeline
Core Stack: Python OpenCV Computer Vision
Operation: High-fidelity frame processing engine optimized for face identification across varying illumination and extreme contrast shifts.
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ExpenseFlow

Type: Structured OOP Financial Dashboard
Core Stack: Java Swing GUI OOP Design
Operation: Desktop application built with strict OOP encapsulation and graphical layout systems to monitor and catalog user financial metrics.
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SYSTEM ANALYTICS (GITHUB MONITOR)

Daksh Mehrotra Stats

AWS CERTIFICATIONS CREDENTIAL VAULT

CONNECT WITH THE NODE

Initializing handshake... Connect with my developer interface:

Portfolio LinkedIn Email

Popular repositories Loading

  1. Demo Demo Public

    This is my first git repository

  2. Local-repo Local-repo Public

    HTML

  3. My-first-Repository My-first-Repository Public

  4. SPY-C SPY-C Public

    Forked from mdarslan7/SPY-C

  5. 21DaysOfCode-2024 21DaysOfCode-2024 Public

    Forked from upesacm/21DaysOfCode-2024

    Java

  6. 100DaysOfCode-2024 100DaysOfCode-2024 Public

    Forked from upesacm/100DaysOfCode-2024

    Java