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lokeshkumar80/README.md

Hi 👋, I'm Lokesh Kumar

M.Tech CSE @ IIT Jammu • Software Engineer • AI/ML Enthusiast • Embedded Systems Explorer


Typing SVG


🧠 About Me

🎓 M.Tech CSE student at IIT Jammu

💡 Passionate about:

  • Software Engineering
  • Machine Learning
  • Embedded Systems
  • Computer Vision
  • Open Source Development
  • LLM & ASR Systems

⚡ I enjoy building:

  • Real-time AI systems
  • IoT & embedded applications
  • Full-stack dashboards
  • Computer vision pipelines
  • Efficient ML workflows

🚀 Currently Working On

🤖 AI / ML

  • Whisper + LLaMA3 based ASR enhancement pipeline
  • LoRA fine-tuning using Unsloth
  • MetaCog-SLM reasoning optimization
  • CNN & classical CV-based projects

🛰️ Embedded / IoT

  • Real-Time Vehicle Tracking System
  • GPS + GSM communication systems
  • ESP32-based monitoring systems

👨‍💻 Development

  • FastAPI backend systems
  • Dockerized ML services
  • MongoDB integrations
  • Linux tooling & automation

💼 Career Interests

Role Interests
👨‍💻 Software Development Engineer Backend + Systems
🤖 ML Engineer LLMs, ASR, CV
☁️ MLOps / DevOps Docker, Deployment
🛰️ Embedded Systems Engineer IoT + Networking
🔬 Research Engineer AI Systems


🛠️ Tech Stack

💻 Languages


⚙️ Frameworks & Tools


🤖 AI / ML / CV


🛰️ Embedded / IoT

ESP32 GPS GSM Mapbox


📌 Featured Projects


🚗 Real-Time Vehicle Tracking System

📍 IoT-based GPS vehicle tracking using:

  • ESP32
  • NEO-6M GPS
  • SIM900A GSM/GPRS
  • ThingSpeak Cloud
  • PHP + Mapbox Dashboard

🔗 Repository:
https://github.com/lokeshkumar80/real-time-vehicle-tracking-system


🎭 Facial Emotion Recognition using CNN

Deep Learning based emotion classification system using CNN and FER2013 dataset.

🔗 Repository:
https://github.com/lokeshkumar80/Facial_Emotion_Recognition


🧠 Whisper + LLaMA3 ASR Pipeline

LLM-enhanced Automatic Speech Recognition pipeline using:

  • Whisper
  • LLaMA3
  • LoRA Fine-tuning
  • Unsloth

🔗 Hugging Face:
https://huggingface.co/lokeshkumar79


🗺️ Landmark Classification using SIFT

Classical Computer Vision project using:

  • SIFT features
  • Feature matching
  • Landmark recognition

🔗 Repository:
https://github.com/lokeshkumar80/Landmark-Classifier


📊 GitHub Analytics


📈 Most Used Languages


🏆 GitHub Trophies


📚 Areas of Interest

  • Large Language Models (LLMs)
  • Automatic Speech Recognition (ASR)
  • Computer Vision
  • Embedded Systems
  • Real-Time Systems
  • IoT Platforms
  • Linux Systems Programming
  • DevOps & MLOps
  • Networking Systems

🌐 Connect With Me


⚡ Fun Fact

💡 I love combining:

  • Embedded Systems
  • AI/ML
  • Real-Time Processing
  • Full Stack Engineering

to build practical systems solving real-world problems.


⭐ Support

If you like my work:

⭐ Star repositories
🍴 Fork projects
🤝 Connect on LinkedIn
🚀 Follow for future projects


✨ “Building intelligent systems one project at a time.” ✨

Pinned Loading

  1. Facial_Emotion_Recognition Facial_Emotion_Recognition Public

    Facial Emotion detection involves analysis of images or videos of faces to identify emotions based on the facial expressions

    Jupyter Notebook

  2. M.Tech_Thesis M.Tech_Thesis Public

  3. extension-intrusion-detection-dl extension-intrusion-detection-dl Public

    Deep learning-based malicious browser extension detection using VGG16 and network traffic analysis via mitmproxy

    Python

  4. real-time-vehicle-tracking-system-v2.0 real-time-vehicle-tracking-system-v2.0 Public

    Real-time GPS vehicle tracking system — ESP32 + NEO-6M + SIM7600 4G → MQTT → Node.js + WebSocket → Mapbox live dashboard with Haversine geofencing. Upgraded from 2G HTTP polling to sub-500ms LTE MQ…

    HTML