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Hi, I'm Shirish Upadhyay

An AI/ML Engineer passionate about building intelligent solutions.

View My Projects Download CV
Shirish Upadhyay - AI/ML Engineer
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About Me

AI/ML Engineer in training, with hands-on experience in computer vision, deep learning, and backend automation. Skilled in Python, TensorFlow, PyTorch, and Django for building scalable, data-driven solutions. I optimize workflows and deploy scalable applications. Seeking opportunities in AI Engineering, Computer Vision, or ML/DevOps, Automation.

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import tensorflow
def train_model():
plt.plot(data)
docker build -t app

Technical Skills

Programming Languages

  • Python
  • C++
  • C
  • JavaScript

Machine Learning & AI

  • TensorFlow
  • PyTorch
  • Scikit-learn
  • XGBoost
  • OpenCV
  • YOLO (v8, v11+)

Data & CV Tools

  • SpaCy, NumPy
  • Pandas
  • Roboflow
  • Matplotlib

Databases

  • MongoDB
  • SQL
  • MySQL
  • PostgreSQL

DevOps & Deployment

  • Docker
  • Linux
  • Git, GitHub
  • AWS
  • CI/CD
  • REST API
  • gRPC
  • GitHub Actions

Soft Skills

  • Problem Solving
  • Communication
  • Teamwork
  • Adaptability
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Key Projects

Computer Vision Developer

Jul 2025

Developed real-time data flow using YOLO for video and web-streaming using YOLOv11+. Integrated real-time object detection using gRPC. Enhanced AI usability with auto-tuned image downloads and responses. Streamlit dashboard.

Computer VisionYOLOv11+gRPCStreamlit

Academia Connect Website (Full Stack)

Dec 2024 – Jan 2025

Created an academic record system using MongoDB Atlas to store 200+ student records. Integrated authentication system dashboards, and toolkits; improved load times by 30%. Deployed on cloud for scalability. Dashboards built using MongoDB Atlas.

Full-Stack Django MongoDB Atlas HTML/CSS/JS

Maize Weed Detection Model

Aug 2024 – Sep 2024

Trained CV and agriculture model using Roboflow data from aerial images. Processed 540+ RGB samples to verify performance in real conditions. Rebuilt model; improved image by 60% through optimizations.

Computer VisionRoboflowOpenCVPython

Facial Recognition Attendance System

Jul 2024 – Aug 2024

Implemented real-time face recognition using OpenCV and LBPH for accuracy by 12%. Integrated cloud image feed from 100+ profiles. Added attendance and alerts, saving 30+ manual entry hours per month.

PythonOpenCVLBPHFace Recognition
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Get In Touch

Contact Info

Email: upadhyaycreesh@gmail.com

Phone: +91 8317326735

Location: Bengaluru, India