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kvharsha/README.md

Typing SVG


Harshaa Vardhana KV
Coding Animation

Hi there, I'm Harshaa 🌿

"The best way to predict the future is to invent it." — Alan Kay

🔬 Foundational AI Researcher @ IEEE OSPI '26 — working on NLP & Gen AI for the legal domain, mentored by leaders from PayPal, Cisco & former IEEE Chair. PoC presented at Microsoft Office, Bangalore.

📡 Former Robotics Research Intern @ cRAIS (IEEE–PES University) — published at IEEE ICSET 2025, Kuala Lumpur on DRL-based mobile robot navigation.

🛡️ Cybersecurity Intern @ CISFOR — diving deep into malware analysis (Mydoom), DDoS simulations & botnet architecture.

🎓 Pursuing B.Tech CS @ PES University + B.Sc. Data Science @ IIT Madras — simultaneously.

🌐 Portfolio: kvharshaavardhana.uk 📄 Resume: View Here


Profile Views


🐍 My Contributions Getting Devoured

github contribution grid snake animation

⚔️ Competitive Programming Arena


🟡 LeetCode

LeetCode Stats

LeetCode

🔵 Codeforces

Codeforces

Codeforces Stats

📈 Track my real-time rank, rating history, and solved problems live on Codeforces!


📅 Daily Submission Tracker

LeetCode Daily Badge CF Daily Badge


🌿 Open Source Footprint


GitHub Streak


GitHub Stats

Top Languages


Activity Graph



🔬 Research & Publications


Applied Maths Quantitative Research Deep Learning IEEE Member

╔═══════════════════════════════════════════════════════════════════╗
║   📡  IEEE ICSET 2025  ·  Kuala Lumpur, Malaysia  ·  Dec 2025    ║
╠═══════════════════════════════════════════════════════════════════╣
║                                                                   ║
║   DRL-based Navigation of Mobile Robot                           ║
║   in Unknown Environment                                         ║
║                                                                   ║
║   ▸ Framework  :  Double Deep Q-Network (DDQN)                   ║
║   ▸ Domain     :  Autonomous Robotics + Reinforcement Learning   ║
║   ▸ Core Idea  :  End-to-end policy for shortest-path            ║
║                   navigation in dynamic, unknown environments    ║
║   ▸ Outcome    :  Maximised cumulative reward, minimal steps     ║
║   ▸ Stack      :  Python  ·  PyTorch  ·  TensorFlow  ·  NumPy   ║
║                                                                   ║
║   [ 15th Intl. Conference on System Engineering & Technology ]   ║
╚═══════════════════════════════════════════════════════════════════╝

Conference Location Method Status


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IEEE Paper Research Repo


Research Interests


🛠️ Tech Stack I'm Currently Using


🤖 AI / ML / Deep Learning

My Skills

PyTorch   TensorFlow   Scikit-learn   NumPy   Pandas   Matplotlib   SciPy   Plotly


📱 Mobile & Cross-Platform

My Skills

Flutter   Dart   Android Studio   Swift   Kotlin   Objective-C   Firebase


🌐 Web Development

My Skills

React   Next.js   TypeScript   Express   NestJS   Tailwind CSS   Framer Motion


🗄️ Databases & Backend

My Skills

MongoDB   MySQL   Redis   Django   DRF   Apache Kafka   SQLite


⚙️ Systems, Robotics & Security

My Skills

C / C++   Rust   Linux (Debian/REMnux)   Arduino   ROS   Wireshark   nmap   MATLAB


☁️ Cloud & DevOps

My Skills

AWS EC2 / VPC   Firebase   CI/CD   JWT   ZeroTier


🚀 What I'm Building Right Now

class HarshaaRightNow:
    def __init__(self):
        self.research       = "NLP & Gen AI for Legal Domain @ IEEE OSPI '26"
        self.poc_presented  = "Microsoft Office, Bangalore — to founders & VCs"
        self.mentors        = ["PayPal Senior Leader", "Cisco Director", "Former IEEE Chair"]
        self.dual_degree    = ["B.Tech CS — PES University", "B.Sc DS — IIT Madras"]
        self.coffee_count   = float("inf")  # non-negotiable

    def current_stack(self):
        return {
            "AI":      ["PyTorch", "RAG", "LLMs", "PINNs", "DRL"],
            "Web":     ["MERN", "Next.js", "TypeScript", "Redis"],
            "Systems": ["Apache Kafka", "Flask", "OpenCV"],
            "IoT":     ["Arduino", "Drones", "MPU6050"]
        }

    def fun_fact(self):
        return "I once built a drone that maps air pollution in 3D. No big deal. 🚁"

🌐 Find Me Across The Web


Portfolio LinkedIn GitHub


LeetCode Codeforces Email


☕ Fuel the Research

"First, solve the problem. Then, write the code." — John Johnson

If my work sparked an idea, helped your project, or you just vibe with what I'm building — a coffee goes a long way into keeping the commits alive at 2 AM. 🌙

Buy Me A Coffee


📄 Resume

Want the full picture? My resume has everything — research, internships, projects, and certifications.

Resume

Setup tip: Upload your resume PDF to assets/Harshaa_Vardhana_KV_Resume.pdf in this repo and the button above will work automatically.


Random Dev Quote

"The people who are crazy enough to think they can change the world are the ones who do." — Steve Jobs

Made with 🌿 + ☕ + lots of StackOverflow by Harshaa Vardhana KV

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  1. Arduino_Quadcopter_Flight_Controller Arduino_Quadcopter_Flight_Controller Public

    A real-time Arduino-based quadcopter flight controller implementing sensor fusion, PID stabilization, and autonomous hover capability for unmanned aerial vehicles.

    C++

  2. Headline_Harbor_News_App Headline_Harbor_News_App Public

    Objective-C

  3. InsureMithra-Insurance_workflow_automation_software InsureMithra-Insurance_workflow_automation_software Public

    A comprehensive MERN stack insurance management platform with policy search, claims processing, automated renewals, role-based access control, performance caching, downtime monitoring, and automate…

  4. Physics-Informed-Neural-Networks-PINN-Implementation Physics-Informed-Neural-Networks-PINN-Implementation Public

    Forked from Hars03082005/PINN

    This repository contains the details about our Machine-Learning project on Physics-Informed Neural Networks (PINNs) Implementation.

    Jupyter Notebook

  5. RAG_LLM_Prompt_Legal_Assistant RAG_LLM_Prompt_Legal_Assistant Public

    Applying RAG - LLM - Prompt Engineering for Text Analysis in Legal Documents (Trained based on Indian constitution)

    Jupyter Notebook

  6. Hars03082005/PINN Hars03082005/PINN Public

    This repository contains the details about our Machine-Learning project on Physics-Informed Neural Networks (PINNs) Implementation.

    Jupyter Notebook 1 2