DILLIKUMARAN V

AI/ML Engineer and Software Developer

Chennai, India 0+ yrs exp 80 · Excellent

About

AI/ML Engineer and Software Developer with hands-on experience building end-to-end AI applications, including Retrieval-Augmented Generation (RAG) systems, computer vision pipelines, and generative AI tools. Skilled in Python, FastAPI, React.js, and LangChain, with a strong foundation in Machine Learning, Deep Learning, and Semantic Search. Published researcher in ML-based healthcare prediction, seeking to contribute as a Software/AI Engineer at a product-based company or AI startup.

Skills & Expertise (29)

Python Intermediate

4.6/10

0.1

Years Exp

Pandas Intermediate

4.5/10

0.1

Years Exp

Machine Learning Intermediate

4.5/10

0.1

Years Exp

Deep Learning Intermediate

4.5/10

0.1

Years Exp

Computer Vision Intermediate

4.5/10

0.1

Years Exp

Generative AI Intermediate

4.5/10

0.1

Years Exp

NumPy Intermediate

4.5/10

0.1

Years Exp

TensorFlow Intermediate

4.5/10

0.1

Years Exp

Cvat Intermediate

4.0/10

0.1

Years Exp

JavaScript Beginner

3.8/10

0.1

Years Exp

React.js Beginner

3.8/10

0.1

Years Exp

Git Beginner

3.5/10

0.1

Years Exp

MySql Beginner

3.5/10

0.1

Years Exp

GitHub Beginner

3.5/10

0.1

Years Exp

CSS Beginner

3.5/10

0.1

Years Exp

HTML Beginner

3.5/10

0.1

Years Exp

REST APIs Beginner

3.5/10

0.1

Years Exp

FastAPI Beginner

3.5/10

0.1

Years Exp

LangChain Beginner

3.0/10

0.1

Years Exp

Embeddings Beginner

3.0/10

0.1

Years Exp

Semantic Search Beginner

3.0/10

0.1

Years Exp

Google Gemini API Beginner

3.0/10

0.1

Years Exp

ChromaDB Beginner

3.0/10

0.1

Years Exp

Retrieval-Augmented Generation Beginner

3.0/10

0.1

Years Exp

scikit-learn Prompt Engineering Large Language Models VS Code Java

Work Experience

Machine Learning Intern

Altruisty Innovation Pvt Ltd

Jan 2026 - Jan 2026

Developed an AI-based feedback system for audio and video performance analysis. Extracted audio features such as pitch, rhythm, and voice clarity using signal processing techniques. Built an end-to-end machine learning pipeline integrated with Generative AI for automated feedback generation.

Machine Learning & Computer Vision Intern

Centre for Robotics and Automation, MIT College, Anna University

Jun 2025 - Jul 2025

Developed an AI-based handwriting recognition system using computer vision techniques. Built a Streamlit-based data collection pipeline using an Intel RealSense camera. Performed data annotation using CVAT and preprocessing (XML to JSON conversion). Trained a Temporal Convolutional Network (TCN) in TensorFlow for sequence-based prediction.