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Vishnu Mekala

@vishnumekala

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I build LLM-powered applications, RAG pipelines, and computer vision systems in Python.

India

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What I'm looking for

I'm seeking an AI/ML engineering role where I can contribute to LLM fine-tuning, evaluation, and post-training initiatives while building production-grade conversational AI and computer vision systems.

I've built LLM-powered conversational AI applications with context retrieval and real-time response streaming at Legixo.

At Infosys Springboard, I applied Python, SQL, and machine learning in hands-on training and collaborated in an Agile sprint team to build an Automatic Number Plate Recognition and Traffic Control System.

I built a full-stack ANPR pipeline using YOLOv11, OpenCV, React, Node.js, MySQL, and ETL, supporting real-time license plate detection, traffic classification, and automated signal control. I also fine-tuned image-processing workflows to reduce false positives.

I've developed a CNN-BiLSTM-GRU model for multi-class pain prediction from EEG, ECG, EMG, and GSR signals, deploying it as a Flask application backed by SQLite. I'm seeking opportunities to contribute to LLM fine-tuning, evaluation, and post-training initiatives.

Experience

Work history, roles, and key accomplishments

AI Engineering Intern

Legixo

Jun 2026 - Jul 2026 (1 month)

Engineered a full-stack conversational AI application with LLM integration, efficient context retrieval, and real-time response streaming to deliver an interactive user experience.

LLM RAG Python Fullstack Development

AI/ML Intern

Infosys Springboard

Sep 2025 - Nov 2025 (2 months)

Completed structured, hands-on training in Python, SQL, and core machine learning algorithms, applying concepts through practical exercises. Collaborated in an Agile-sprint group project to build an Automatic Number Plate Recognition (ANPR) and Traffic Control System using Python and computer vision techniques.

Python SQL Machine Learning Computer Vision Agile