Hi, I'm Logesh T V

Full Stack Developer & AI Specialist

I build exceptional digital experiences with cutting-edge technologies. Specializing in Next.js, MERN stack, and AI-driven solutions that deliver real business value.

About Me

My Journey in Tech & AI

Logesh T V working

I'm a passionate Full Stack Developer and AI Specialist with expertise in building scalable web applications and implementing cutting-edge AI solutions. My journey in technology began at SRM Valliammai Engineering College, where I pursued B.Tech in Artificial Intelligence and Data Science.

Currently working at ADRIG AI Technologies, I lead development tasks using Agile methodologies and design scalable database schemas. I specialize in Next.js, MERN stack, and have implemented various GenAI solutions by integrating models like GPT, LLaMA, and Gemini with RAG pipelines.

My experience extends to freelance work, where I've delivered numerous web projects for diverse clients, ranging from landing pages to complex e-commerce platforms. I'm passionate about creating efficient, user-friendly applications that solve real-world problems.

Education

B.Tech in Artificial Intelligence And Data Science

SRM Valliammai Engineering College, Chengalpattu

2020 - 2024

Experience

My Professional Journey

Full Stack Developer

ADRIG AI Technologies
November 2023 - Present
  • Led team tasks in Scrum and Agile frameworks, ensuring on-time project delivery while designing scalable DB schemas and deploying high-performance Azure VMs.
  • Developed and optimized full-stack applications using Next.js, MERN stack, and Vite, enhancing SEO and cross-platform compatibility for a faster, more responsive web experience.
  • Established GenAI solutions by integrating models like GPT, LLaMA, and Gemini with RAG pipelines through advanced prompt engineering and optimizing AI model performance.
  • Deployed AI-driven functions as REST APIs, seamlessly integrating them with the front end, which enhanced user experience and improved application scalability.

Full Stack Developer (Freelancer)

PeoplePerHour
October 2022 - November 2023
  • Delivered numerous web projects for diverse clients, including landing pages and complex e-commerce platforms, with excellent ratings for overall performance and client satisfaction.
  • Spearheaded the MYREKLAM project, enabling companies to post job listings and recruit talent effortlessly by utilizing ReactJS, NodeJS, ExpressJS, MongoDB, REST APIs, and Google Maps Integration.
  • Improved end-to-end development for clients, ensuring the timely delivery of high-quality web applications, achieving significant improvement in user engagement and retention rates.

Machine Learning Engineer - Intern

Anyware Labs
June 2023 - July 2023
  • Guided and implemented a Resume Job Description Analyzer utilizing Optical Character Recognition (OCR) to extract text and perform Named Entity Recognition (NER) and Vectorization with high accuracy in resume evaluations.
  • Developed a Table Extractor From Image that efficiently extracted tabular data from images with high accuracy using OCR and image processing techniques.

MERN Stack Developer - Intern

Devtown
July 2021 - September 2021
  • Successfully built and launched a Food Delivery web application with all CRUD operations and features like ordering, rating, and authentication, using ReactJS, NodeJS, ExpressJS, MongoDB, REST APIs, and Tailwind CSS, ensuring optimal performance and cross-device usability.
Skills

My Technical Expertise

Frontend

JavaScript
TypeScript
React
Angular
Next.js
Tailwind CSS
HTML/CSS

Backend

Node.js
Express.js
Java
Python
Flask
REST API
WebSockets

Database

MongoDB
SQL
NoSQL
Database Design
ORM

AI & ML

Machine Learning
Deep Learning
Generative AI
RAG Pipelines
Prompt Engineering
NLP

DevOps & Tools

Git/GitHub
AWS (Lambda, S3)
Azure VM
CI/CD
Docker

Other

Agile/Scrum
Data Structures & Algorithms
Web Scraping
SEO
System Design
Projects

My Recent Work

Media Assistant

Media Assistant

An AI-powered healthcare solution that integrates RAG with medical data to assist communication between doctors and patients via chatbot and voice assistant. Features multilingual support and predictive models for doctor appointments.

React
MongoDB
Flask
Python
OLLAMA
RAG
Event Website

Event Website

A fully functional full-stack application featuring registration, mailing after sign-up, QR generator, QR scanner, and an admin dashboard with Google authentication. Integrated payment systems and SEO optimization.

Next.js
Tailwind CSS
MongoDB
Authentication
Payments
Resume Job Description Analyzer

Resume Job Description Analyzer

An AI tool that utilizes Optical Character Recognition (OCR) to extract text from resumes and perform Named Entity Recognition (NER) and Vectorization for accurate resume evaluations.

Python
PyTesseract
Spacy
Sklearn
NLTK
Streamlit
BERT
Food Delivery Web App

Food Delivery Web App

A comprehensive food delivery platform with all CRUD operations and features like ordering, rating, and authentication, ensuring optimal performance and cross-device usability.

React
Node.js
Express.js
MongoDB
REST API
Tailwind CSS
Blog

Latest Insights on AI & Development

The Future of RAG: Beyond Basic Retrieval for AI Applications
April 2, 20248 min read

The Future of RAG: Beyond Basic Retrieval for AI Applications

Explore how Retrieval-Augmented Generation is evolving beyond simple document retrieval to create more contextually aware AI systems with improved reasoning capabilities.

Building Scalable AI Systems with Next.js and Vector Databases
March 15, 202412 min read

Building Scalable AI Systems with Next.js and Vector Databases

A comprehensive guide to integrating vector databases with Next.js applications to create scalable, production-ready AI systems that can handle millions of embeddings.

Prompt Engineering: The Art and Science of Communicating with LLMs
February 28, 202410 min read

Prompt Engineering: The Art and Science of Communicating with LLMs

Discover advanced prompt engineering techniques that can dramatically improve the quality and reliability of outputs from large language models like GPT-4 and Claude.

From Prototype to Production: Deploying AI Models in Enterprise Environments
January 20, 202415 min read

From Prototype to Production: Deploying AI Models in Enterprise Environments

Learn the best practices for taking AI models from experimental prototypes to robust, scalable production systems that can withstand real-world demands.

Contact

Get In Touch

Let's Connect

I'm always open to discussing new projects, creative ideas, or opportunities to be part of your vision. Feel free to reach out using the contact form or through my social media profiles.

Location

Chennai, Tamil Nadu, India

Send Me a Message