
Experience
MeNeM Inc., Chennai, Tamil Nadu
AI Engineer Intern
- Designed a real-time computer vision system using YOLOv8 for weapon and violence detection, achieving 89% accuracy. Integrated OpenPose & MediaPipe for emotion and pose-based alerts, enhancing surveillance responsiveness.
- Developed a FastAPI-powered web scraper to extract product specifications and live prices from Flipkart and Amazon, enabling predictive retail analytics for appliances.
- Built a Streamlit-based AI assistant integrating PandasAI + OpenAI APIs to allow natural language querying of CSV data, delivering visual and tabular analytics with 95% response accuracy.
- Deployed production-grade ML models optimized for real-time inference with GPU acceleration, achieving sub-100ms latency.
- Collaborated with cross-functional teams to design end-to-end AI pipelines ensuring scalability, reproducibility, and efficient model lifecycle management.
GUVI Chennai, Chennai.
AI & Machine Learning Course
- Proficient in Python and SQL for data access and analysis, applying ML algorithms to build predictive models by data preprocessing and feature engineering to improve model accuracy and robustness.
- Developed AI-driven generative responses and deep learning models using PyTorch with RNN and CNN for image and gesture recognition.
- Built predictive models using various machine learning pipelines and optimized performance through hyperparameter tuning and model deployment techniques.
SharePoint Designs, Chennai.
SharePoint Developer
- Developed and deployed custom SharePoint Framework (SPFx) solutions using React, Fluent UI, and PnP controls, improving navigation and content discoverability by 30%.
- Created a dynamic Document Library Carousel using Fluent UI DocumentCard and integrated FileTypeIcon, REST API, and editor profile image fetching via custom logic.
- Enhanced the Video and Event modules with configurable property-pane color and layout options, improving content flexibility and client satisfaction.
- Automated workflows using Power Apps and Power Automate, reducing manual operations by 50% and improving process efficiency.
- Resolved critical issues in Korzone and Nalka modules, including email attachment rendering and event box encoding, ensuring stability and consistency across deployments.
- Collaborated directly with clients such as Nalka, Potential Project, and Interogo for requirement analysis, iterative testing, and deployment, maintaining transparent communication and achieving over 80% client satisfaction.
- Delivered sandbox testing and production deployments maintaining system uptime above 90% and ensuring consistent UI/UX across sites.
10x Academy, Hyderabad, Telangana.
Full Stack Developer Trainee
- Intensive training in Data Structures, Algorithms and full-stack development (MERN) with expertise in JavaScript, Node.js and React.js.
Skills










Education
- Artificial Intelligence and Machine Learning ProgramApr 2024 - Oct 2024Guvi Institute, Coimbatore, Tamil Nadu
- Bachelor of Technology (Horticulture)Aug 2016 - Nov 2020TamilNadu Agriculture University, Coimbatore, Tamil Nadu
- Intermediate (+2)May 2014 - Apr 2016Green Park Matriculation Higher Secondary School, Namakkal, Tamil Nadu
DocFinder AI — Local AI-Powered Document Assistant

Technologies Used: Python, Streamlit, FAISS, Hugging Face Transformers
Plant Disease Detection using CNN

Technologies Used: Python, Streamlit, PyTorch
SentimentSphere: Streamlit app for sentiment analysis with text and CSV input support

Technologies Used: Python, Streamlit, NLTK, TextBlob, Pandas
ChurnIQ – Intelligent churn detection system

Technologies Used: Python, Streamlit, Scikit-learn
OCR Text Extractor

Technologies Used: Python, EasyOCR, Streamlit, Pillow, OpenCV, NumPy, CNN (Deep Learning)
NER Explorer: Interactive Named Entity Recognition Tool

Technologies Used: Python, Streamlit, SpaCy, NER, Matplotlib
Movie Recommendation System

Technologies Used: Python, Streamlit, Scikit-learn
Image Caption Generator

Technologies Used: Python, Hugging Face Transformers, BLIP Model, Tkinter, Pillow (PIL)
Classifying Cybersecurity Incidents

Technologies Used: Python, Scikit-learn, Matplotlib, Seaborn
Car Dheko - Predict Used Car Prices

Technologies Used: Python, pandas, NumPy, scikit-learn, matplotlib, seaborn, Streamlit
Illuminating Insights

Technologies Used: Python, SQL, Power BI, Data Visualization
YouTube Data Harvesting

Technologies Used: Python, SQL, Streamlit
To Do App

Technologies Used: React, Node.js, Express, MongoDB
Book Search App

Technologies Used: React.js
Event Proposal Page

Technologies Used: React.js, Node.js, MongoDB
InstaClone App

Technologies Used: React.js, Node.js, MongoDB
Certifications
AI & Machine Learning Certificate
GUVI Institute - 2025
AWS Cloud Practitioner
Simplilearn - 2025
Machine Learning Algorithms
Great Learning - 2025
Introduction to Data Engineering and Bigdata
GUVI Institute - 2025
Generative AI Program
GUVI Institute - 2025
Power BI
GUVI Institute - 2025
Python
GUVI Institute - 2024
Full Stack Web Development
The 10x Academy - 2023
