Hello, I'm

Venkatesh Raja

I build |

Full Stack Developer with 2.2+ years of experience building scalable, AI-powered web applications using React.js, Spring Boot & Python. Specialized in algorithmic trading systems powered by XGBoost ML models.

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developer.py

class Developer:
    def __init__(self):
        self.name = "Venkatesh Raja"
        self.role = "Full Stack Dev"
        self.stack = ["React", "Python", "Spring"]
    
    def build(self):
        return "AI-Solutions" |

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About Me

Passionate about building digital experiences

Get to know me and what drives my work

2.2+ Years

ML Expert

Fast Learner

I'm a results-driven Full Stack Developer with 2.2+ years of professional experience at MAK Infotech Pvt. Ltd., building scalable, AI-powered web applications.

I specialize in developing algorithmic trading systems powered by XGBoost ML models, real-time data processing, and automated trade execution. My work spans the full spectrum from React.js frontends to Spring Boot microservices and Python ML pipelines.

I'm passionate about combining software engineering with machine learning to build intelligent, production-grade applications that make a real impact.

Name Venkatesh Raja

Experience 2.2+ Years

Company MAK Infotech Pvt. Ltd.

Education M.Sc Computer Science

Location Dharmapuri, Tamil Nadu

Availability Open for Opportunities

Hire Me Download CV

Career Journey

Professional Experience

My work experience and educational background

Full Stack Developer

MAK Infotech Pvt. Ltd.

Dec 2023 – Present Dharmapuri, TN

Spearheading an XGBoost-based trading engine integrated with Spring Boot microservices and Python ML pipelines
Built and deployed ML models for stock prediction achieving 78% accuracy on intraday price movement
Developed real-time trading dashboards in React.js with WebSocket integration for live market data
Engineered secure Spring Boot REST APIs with FastAPI microservices for sub-50ms ML inference
Improved system throughput by 50% through Redis caching and optimized pipelines
Designed automated backtesting frameworks processing 5+ years of historical data (Sharpe ratio ≥ 1.8)
Managed CI/CD pipelines maintaining 99.9% uptime on AWS EC2

React.js Spring Boot Python XGBoost FastAPI Redis MongoDB AWS Docker

Software Developer Intern

MAK Infotech Pvt. Ltd.

Jun 2022 – May 2023 Dharmapuri, TN

Contributed to a Mobile E-Commerce Platform serving 10,000+ SKUs
Developed responsive UI components using React.js and Tailwind CSS
Built Spring Boot REST APIs for product catalog, authentication, and order management
Integrated Redis caching reducing API latency by 45%
Gained expertise in Agile/Scrum, code reviews, and clean code architecture

React.js Tailwind CSS Spring Boot Redis MySQL JWT

M.Sc. in Computer Science

Govt. Arts & Science College, Pennagaram

Aug 2021 – May 2023 CGPA: 7.43/10

Advanced Algorithms, Cloud Computing, Machine Learning, Distributed Systems
Final Year Project: Human Face Emotion-Based Music Player using TensorFlow & CNN

Python Machine Learning Cloud Computing TensorFlow

B.Sc. in Computer Science

B.R.P.T. Dr. M.G.R. Govt. Arts & Science College, Palacode

Jul 2018 – Jun 2021 CGPA: 7.34/10

Data Structures, DBMS, Web Technologies, Operating Systems, OOP
Strong foundation in programming fundamentals and algorithms

Java Data Structures DBMS Web Technologies

Java Full Stack Development

Spring Boot, React.js, REST APIs, SQL & AWS Deployment

Jun – Jul 2023

Python Advanced Programming

Data Handling, Automation & Backend Scripting with Flask/FastAPI

Jul – Aug 2023

Machine Learning with Python

XGBoost, Scikit-learn, Feature Engineering & Model Deployment

Sep – Oct 2023

AWS Cloud Practitioner

Cloud Architecture, EC2, S3, RDS, Lambda & Security

Nov 2023

Portfolio

Featured Projects

Some of the projects I've built and contributed to

Featured Project

AI-Powered Algorithmic Trading Platform

Comprehensive algorithmic trading system with an XGBoost prediction engine for automated trade execution across top 500 NSE stocks. Features real-time ML inference with sub-50ms latency, intelligent signal detection (QML, BOS, CHOCH), and dynamic capital allocation with risk management.

Python XGBoost Spring Boot React.js FastAPI WebSocket Redis MongoDB Angel One SmartAPI Docker AWS

              78%
              ML Accuracy
            

              <50ms
              Inference
            

              500+
              NSE Stocks
            

              ≥1.8
              Sharpe Ratio
            

Featured Project

Mobile E-Commerce Platform

Full-featured mobile-first e-commerce platform for smartphones and electronics with complete order lifecycle management, serving 10,000+ SKUs. Features advanced search, Razorpay integration, admin dashboard with Chart.js analytics, and real-time inventory management.

React.js Tailwind CSS Spring Boot Redis MySQL JWT Razorpay Chart.js AWS

              10K+
              SKUs
            

              45%
              Faster API
            

              40%
              Better Perf
            

Other Noteworthy Projects

Face Emotion Based Music Player

AI-powered music player using TensorFlow CNN for real-time facial emotion detection. Automatically suggests songs based on detected mood.

Python TensorFlow OpenCV CNN JavaScript

Voice Authentication System

Biometric voice recognition system for secure identity verification using speaker recognition and voice biometrics technology.

Python ML Audio Processing Security

Developer Portfolio

Modern, responsive portfolio website with 3D Spline animations, smooth transitions, dark/light theme, and interactive UI elements.

HTML5 CSS3 JavaScript Spline 3D

Tech Stack

Skills & Technologies

The tools and technologies I work with daily

Frontend

React.js 92%

JavaScript / TypeScript 88%

HTML5 / CSS3 / Tailwind 95%

Redux / Material-UI 85%

Backend

Spring Boot / Java 90%

Python / FastAPI / Flask 90%

RESTful APIs / Microservices 88%

Spring Security / JWT 85%

AI / ML

XGBoost / Scikit-learn 88%

Pandas / NumPy 85%

TensorFlow / CNN 82%

Feature Engineering 80%

Databases

MySQL / PostgreSQL 90%

MongoDB / Redis 85%

DevOps & Cloud

AWS (EC2, S3, RDS) 85%

Docker / CI/CD 85%

Tools

Git / GitHub 92%

Postman / IntelliJ / VS Code 88%