Hi, I'm Rahul Gunasekaran

Machine Learning Engineer

"Shaping the future with intelligent systems fueled by data, machine learning, and cutting-edge AI."

About Me

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I give machines a brain and a bit of soul.

I'm an AI/ML Engineer with expertise in developing intelligent systems and machine learning solutions. My focus lies in creating innovative AI models that deliver exceptional results and drive business value.

ML Frameworks

TensorFlow/PyTorch

Deep Learning

CNN/RNN/Transformers

Data Science

Pandas/NumPy/SciPy

Deployment

AWS/CI-CD/Docker

Download CV

Experience

Software Engineer Trainee

Neartekpod APAC Pvt. Ltd. | Jan 2025 – Present

Key Achievements

    • Built an AI-powered chatbot to automate interactions, reducing HR query resolution time by 40%.
    • Developed a complete payslip generation system to streamline payroll processing.
    • Deployed the product on AWS using EC2, ECS, S3, Cloud watch & handling 70+ monthly user requests with 99.9% uptime.
    • Integrated secure authentication and onboarding workflows to enhance user access using Auth0.

Technologies Used

OpenAI APINode-REDSolara AgentTTS (Text-to-Speech) AgentNode-REDAWS LambdaDynamoDBNext.jsAuth0

Projects

POLYPS CLASSIFICATION IN ENDOSCOPY LIVE FEEDS

Real-time Polyp Detection and Classification system uses CNN-based deep learning models, TensorFlow, and OpenCV for accurate identification. Designed for endoscopy video feeds, it provides instant visual feedback to assist with clinical decisions.

Python
TensorFlow
OpenCV
CNN
Deep Learning
Computer Vision
LLM-powered-Document-Chat-and-Summarization

LLM Chatbot for Summarization and Q&A utilizes quantized Llama2 models, NVIDIA CUDA, and Gradio for efficient performance and interactive UI. Integrated LangChain for handling diverse NLP tasks across multiple file formats, including PDF, DOC, and Txt.

Python
Llama2
NVIDIA CUDA
Gradio
LangChain
NLP
Mapreduce
Parkinson's Disease Prediction for War Veterans

Built a machine learning model using XGBoost for early detection of Parkinson's disease. Utilized vocal features like jitter, shimmer, and HNR for non-invasive diagnosis. Tailored the solution specifically for war veterans to support targeted healthcare screening.

Python
XGBoost
Vocal Biomarkers
Jupyter Notebook

Technical Expertise

Education & Certifications

Academic Journey

Bachelor of Technology (Artificial Intelligence and Machine Learning)
2025
Sri Shakthi Institute of Engineering and Technology
CGPA: 7.5
Active member of AI/ML Research Club
Participated in multiple hackathons
Completed various AI/ML projects

Professional Certifications

Prompt Engineering with Llama 2 & 3
2025
deeplearning.ai

Comprehensive course on advanced prompt engineering techniques

What Is Generative AI?
2025
National Association of State Boards of Accountancy (NASBA)

Accredited program covering fundamentals of Generative AI

Contact Me

Get In Touch
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Contact Information

(+91) 72000 00185

rahulgunasekarann@gmail.com

Dindigul, Tamil Nadu, India

Connect With Me

I'm always open to discussing new projects, creative ideas or opportunities to be part of your vision.