import tensorflow as tf
model.fit(X_train, y_train)
cv2.imread('image.jpg')
def predict(data):
return model(data)
pip install opencv
from sklearn import svm
np.array(features)
plt.show()
class NeuralNet:
torch.nn.Linear()
df.describe()
print('Hello World')
async def fetch():
for epoch in range(100):
loss.backward()
optimizer.step()
from fastapi import FastAPI
model = YOLO('yolov8n.pt')
import faiss

Hey, I'm
Vinesh nayak

>>>

Building practical solutions from efficient data processing to automated CI/CD deployment. Focused on real-time computer vision and data-driven web applications.

Vinesh nayak — Python Developer & AI/ML Engineer
Open to opportunities

Who I Am

AI/ML Engineer & Python Developer

B.Tech in Artificial Intelligence & Machine Learning

  • AI/ML undergraduate focused on building efficient and real-time software systems
  • Hands-on experience in machine learning, computer vision, deep learning, CI/CD pipelines and n8n workflow automation
  • Currently strengthening expertise in Python, AI/ML, advanced SQL, CI/CD pipelines, and n8n automation.
  • Actively contributing to open-source projects and developing real-time software solutions
  • Certified in Salesforce Agentforce, Google Cloud Gen-AI, Cisco and Government recognized IT programs

Python First

Core language for everything — ML pipelines, data systems, desktop apps, and automation.

Problem Solving

Strong problem-solving skills, actively and regularly participating in various contests such as CodeChef, LeetCode, etc.

UI/UX Design

Experienced in crafting user interfaces and design prototypes using Figma, Google Stitch, Replit, and Canva.

Technical Arsenal

Applied across facial authentication, computer vision monitoring, codebase intelligence, web platforms, and CI/CD pipelines.

Programming Languages

PythonPrimaryJavaCC++JavaScriptTypeScriptSQL

Frontend Development

HTML5CSS3ReactViteTailwind CSSRadix UI

Backend Dev & APIs

FlaskFastAPIPrimaryUvicornWebSockets

AI/ML & Deep Learning

OpenCVScikit-learnTensorFlowKerasPyTorchYOLOv8MobileNetV2

Data Science

PandasNumPyMatplotlibSeabornPlotlyJupyter

Databases

MongoDBPrimaryPostgreSQLSQLite

DevOps & Version Control

JenkinsGitHub ActionsGitGitHub

Frameworks & Apps

StreamlitTkinterJava Swing

Cloud Platforms & APIs

VercelOpenWeather APIOpenStreetMap

UI/UX Design

FigmaCanvaStitch

Development Tools

VS CodeReplitAntigravityn8n

Featured Work

From computer vision and RAG systems to web applications and CI/CD pipelines — here are the projects I've built using Python and modern technologies.

⭐ Featured Project01

Sentinel Face Secure

A secure facial authentication system using lightweight CNN architectures (MobileNetV2) and YOLO-Nano for real-time identity verification. Features multi-modal liveness detection, RBAC, encrypted vector embedding storage, and AES-128 encryption to prevent spoofing attacks.

PythonFastAPIPyTorchMongoDBOpenCV
02

HygieneVision

A real-time computer vision monitoring system for hygiene compliance detection. Uses YOLOv8 and Haar Cascades for detecting hair caps and gloves. Features a Streamlit dashboard, FastAPI REST API integration, and MongoDB event logging with debounce logic.

PythonYOLOv8OpenCVFastAPIStreamlit
03

CodeSage

A local codebase intelligence platform combining Retrieval-Augmented Generation (RAG), AST analysis, vector embeddings, and dependency graph traversal. Features semantic codebase querying, automated bug detection, AI refactoring suggestions, and real-time filesystem monitoring.

PythonRAGFAISSASTGroq API
04

Fake Logo Detection

A desktop-based image classification application that detects fake and original logos using Convolutional Neural Networks and OpenCV. Includes a Tkinter GUI for real-time image prediction, dataset preprocessing, and confusion matrix reporting.

PythonTensorFlowKerasOpenCVTkinter
05

Rainfall Prediction Model

A machine learning web application built with Streamlit for predicting rainfall, flood risks, and agricultural suitability. Integrates historical and live weather data via OpenWeather API, featuring SHAP-based Explainable AI (XAI) for feature importance visualization.

PythonStreamlitScikit-learnSHAPOpenWeather API
06

Music Recommendation System

A content-based recommendation engine leveraging NLP techniques to analyze lyrics, song titles, and artist information. Uses TF-IDF vectorization and Cosine similarity matching to process the Spotify Million Song Dataset and recommend similar tracks.

PythonScikit-LearnNLTKPandasNLP
07

GymLog

A Streamlit-based gym management application featuring complete CRUD operations and SQLite integration. Tracks members, trainers, plans, and sessions while providing automated reports, session history, and popular plan analytics.

PythonStreamlitSQLite
08

SpendSphere

A collaborative expense tracking system supporting both personal and group management. Built with FastAPI and MongoDB, it features JWT authentication, real-time synchronization using WebSockets, budget tracking, and interactive spending analytics.

PythonFastAPIMongoDBWebSocketsVanilla JS

Verified Credentials

Competitive Programming Profiles

Salesforce Agentforce Specialist

Salesforce

AI agent design, configuration, automation, and deployment.

Deep Learning & AI

CodeChef

Neural networks and deep learning fundamentals.

Google Cloud Gen-AI Internship

Google Cloud

Generative AI, cloud ML workflows, and model deployment.

Python Essentials 2

Cisco Networking Academy

Advanced Python programming concepts and practices.

Networking Basics & Data Science

Cisco Networking Academy

Networking fundamentals and introduction to data science.

NIELIT CABA Certification

NIELIT

Computer Applications and Business Accounting.

Education Journey

Nov 2022 — July 2026
CMR College of Engineering & Technology

B.Tech in Artificial Intelligence & Machine Learning

CMR College of Engineering & Technology

📍 Medchal, Hyderabad

CGPA: 8.33
2019 — 2021
Sri Chaitanya Junior Kalasala

Intermediate (MPC)

Sri Chaitanya Junior Kalasala

📍 Gudimalkapur, Hyderabad

Percentage: 99%
2018 — 2019
Aryabhatta High School

SSC

Aryabhatta High School

📍 Thorrur, Mahabubabad

CGPA: 9.8

Profiles & Contact

Open to jobs, internships, collaborations, and conversations related to AI/ML and Python development.