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 intelligent systems from data cleaning to production deployment. Focused on CNNs, real-time inference, and modern web tech.

Explore My WorkAbout MeView Resume
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 undergrad with hands-on experience in CNNs, YOLO, LLMs, real-time inference, and data systems
  • ▹Work across the full pipeline — data cleaning to production deployment
  • ▹Currently deepening expertise in Python while actively learning AI/ML concepts and advanced SQL for data-driven application development, and contributing to open-source projects on GitHub.

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.

Hackathons

Active participant in various hackathons, applying AI/ML principles and Python programming to build practical, data-driven solutions.

Technical Arsenal

Used across face authentication, logo detection, ML prediction pipelines, data management systems, and more.

Languages

PythonPrimaryJavaC/C++JavaScriptSQL

AI / ML

Machine LearningCNNsOpenCVScikit-learnMobileNetV2YOLOv8LLM / RAG

Web Dev

HTML/CSSJavaScriptVite

Frameworks

FastAPIPrimaryStreamlitTkinter

Databases

SQLMongoDBPrimaryFAISS

Tools & Design

Git & GitHubAntigravityVS CodeJupyterFigmaCanva

Featured Work

From ML prediction pipelines to full-stack data systems — here are projects I've built using Python and modern technologies.

⭐ Featured Project01

Sentinel Face Secure

Built a facial authentication system using MobileNetV2 for efficient feature extraction on edge devices. Implemented multi-modal liveness detection (blink, motion, head movement) to prevent spoofing attacks. Developed FastAPI backend with secure encrypted embeddings storage (AES-128) and MongoDB integration.

PythonMobileNetV2FastAPIMongoDBAES-128
02

HygieneVision

Built a real-time hygiene monitoring system using YOLOv8 for detecting safety violations. Developed an OpenCV-based inference pipeline with improved detection using spatial analysis techniques. Designed REST APIs with FastAPI and integrated MongoDB for event logging and analytics.

PythonYOLOv8FastAPIOpenCVMongoDB
03

CodeSage

Developed a code intelligence system using RAG for natural language querying over large codebases. Implemented FAISS-based vector search and AST-based static analysis for complexity and code quality evaluation. Built LLM-powered modules for bug detection and automated code refactoring with optimized outputs.

PythonRAGFAISSASTLLM
04

Fake Logo Detection

Desktop application to detect counterfeit logos using Convolutional Neural Networks. Pre-processed a custom dataset, trained the model with image augmentation, and built a real-time prediction UI with image overlay.

PythonTkinterOpenCVCNN
05

Rainfall Prediction System

A machine learning web application that predicts rainfall, flood risks, and agricultural suitability. Integrates live OpenWeather API data and features Explainable AI (SHAP) to visualize feature importance for robust predictions.

PythonStreamlitScikit-learnSHAPOpenWeather API
06

Music Recommendation System

A content-based music recommendation engine built using NLP and TF-IDF vectorization. Analyzes lyrical content from the Spotify dataset to calculate cosine similarity, recommending songs with the closest linguistic DNA to your favorites.

PythonNLTKScikit-learnPandasJupyter
07

GymLog

A smart gym management system with Streamlit web UI featuring CRUD for Members, Trainers, Plans, and Sessions. Includes SQLite database with schema, views, triggers, and automated reports.

PythonStreamlitSQLiteSQL
08

SpendSphere

Responsive expense tracker with add/edit/delete transactions, monthly budgets with progress bars, search filters, LocalStorage persistence, JSON backup, and interactive Chart.js pie and trend charts.

JavaScriptHTMLCSSChart.js

Verified Credentials

Competitive Programming Profiles

LeetCodeCodeChefHackerRank

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: 8.21
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.

GitHub
LinkedIn
YouTube
Email