TEJO SRIDHAR M V S

Agentic AI Intern

https://talent.gravityer.com/tejo-sridhar-m-v-s

Chennai, Tamil Nadu, India

Key Strengths

Demonstrated proficiency in Python for AI/ML projects, including NLP, computer vision, and recommendation systems.
Experience with advanced AI concepts such as Retrieval-Augmented Generation (RAG), neural indexing, and model training.
Practical application of machine learning frameworks (e.g., YOLOv8, Sentence Transformers, TF-IDF) and techniques (e.g., cosine similarity, logistic regression).
Exposure to agentic AI concepts through the 'morphism-engine' project, which involves schema mismatch detection and automated fixes.
Ability to develop full-stack applications with AI integration (e.g., CabEase with an AI assistant).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio demonstrates a strong interest in AI/ML and software development, aligning well with a technical, innovation-driven culture. The personal nature of all projects suggests self-motivation and initiative. However, the lack of team-based projects or professional experience makes it difficult to assess collaboration skills or fit within a structured team environment. The target role of 'Agentic AI Intern' is well-aligned with projects like 'morphism-engine' and 'NeuralRAG-TrainableIndex', indicating a strong technical interest match.

Soft Skills & Operational Fit

The candidate's project descriptions indicate a proactive and self-directed approach to learning and development, which is beneficial for an intern role. The diversity of projects suggests adaptability and a willingness to explore different technical domains. However, without psychometric test results or interview data, a comprehensive assessment of soft skills and operational fit is limited.

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Projects

morphism-engine

April 11, 2026 – Present

Make broken CLI data pipes work again. Morphism spots schema mismatches, suggests fixes with local AI, and verifies every transform with Z3 before it runs.

View Project

NeuralRAG-TrainableIndex

December 12, 2025 – Present

Trainable Retrieval-Augmented Generation system with neural indexing, learnable routing, and joint training. Supports BEIR datasets, InfoNCE loss, product quantization, and complete experiment orchestration.

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CabEase

October 7, 2025 – November 13, 2025

CabEase is a smart cab booking and management system built using Java, JSP, and MySQL. It lets users register, book cabs, and receive automated booking details via email. The system includes an admin dashboard for cab management and an integrated AI assistant for intelligent, real time user interaction.

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expense_study_helper

September 30, 2025 – September 30, 2025

This Streamlit app uses sentence transformers to generate embeddings from transaction texts, followed by logistic regression for accurate expense categorization into multiple classes. It also features a study plan generator that leverages prioritized weak subjects and exam schedules for balanced daily study hours. Easy setup and interactive UI.

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speech_translate_pro

September 25, 2025 – September 30, 2025

Live speech translation app that converts spoken English into Telugu, Tamil, Hindi and more. Uses Whisper ASR for transcription, Helsinki-NLP translation models for multilingual translation, and pyttsx3 for offline speech synthesis. Supports GPU acceleration and dynamic language selection.

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Cab-Booking

September 23, 2025 – September 23, 2025

A Java GUI-based Cab Booking Management System that enables users to book cabs, manage drivers, view ride details, and calculate fares. It demonstrates OOP concepts, event handling, and file handling for efficient cab management.

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Webdev-projects

September 17, 2025 – September 22, 2025

A collection of my web development projects built using HTML, CSS, JavaScript, and related tools. These include responsive designs, interactive interfaces, and organized code that’s easy to read and work with.

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object-detection-yolov8-coco

September 14, 2025 – September 14, 2025

This is my Object Detection project using YOLOv8 on a COCO subset. I prepared the dataset, trained the model, performed inference and visualization, and evaluated its performance. The repo demonstrates the complete workflow with results and metrics for effective object detection.

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Java-Advanced_Programming_Practice

September 7, 2025 – October 25, 2025

This repository contains my practice files for the Advanced Programming Practices course in Java. It includes various programs and coding exercises to enhance my understanding of Java concepts, algorithms, and programming techniques.

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movie-recommendation-system

September 6, 2025 – September 6, 2025

I built a movie recommendation system in Python that suggests movies based on content features like genre and cast, plus user ratings. It uses TF-IDF vectorization and cosine similarity for content filtering, and user similarity for collaborative filtering.

View Project

Key Strengths

Demonstrated proficiency in Python for AI/ML projects, including NLP, computer vision, and recommendation systems.
Experience with advanced AI concepts such as Retrieval-Augmented Generation (RAG), neural indexing, and model training.
Practical application of machine learning frameworks (e.g., YOLOv8, Sentence Transformers, TF-IDF) and techniques (e.g., cosine similarity, logistic regression).
Exposure to agentic AI concepts through the 'morphism-engine' project, which involves schema mismatch detection and automated fixes.
Ability to develop full-stack applications with AI integration (e.g., CabEase with an AI assistant).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

TEJO SRIDHAR M V S

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit