About Me
Enthusiastic software engineer with hands-on experience working on production frontends, landing pages, multi-vendor mobile apps and admin dashboards. While at Hudsmer Business Solution I contributed to multiple client products and led frontend implementations using React and React Native. I enjoy translating designs into pixel-perfect, accessible UIs and implementing performant interfaces.
Technical Skills
AI / ML
React
React Native
HTML / CSS / JS
Tools
Professional Skills
Office Projects
Hudsmer Business Solution — Software Engineer
Role: Frontend developer & collaborator across product teams. Implemented UI components, optimized bundle size, and worked closely with backend and QA.
Scrap Management — Frontend (React)
Worked on core frontend features using React. Implemented responsive pages, state management and API integration.
Albaatros — Landing page + Registration Form
Built a modern marketing landing page and a signup/registration form integrated with backend endpoints and validation.
Modern Coffee — Landing Page
Developed a pixel-perfect, responsive landing page with smooth animations and accessibility improvements.
E-commerce/Lead Gen
Implemented frontend flows for product showcases and lead generation features (discounts, CTA, Shop Now buttons).
Sewboss — 3-vendor Mobile App (React Native)
Built a multi-vendor mobile application (3 vendor roles) using React Native. Implemented core screens, navigation, and vendor workflows. Also contributed to the admin dashboard (React) for vendor & order management.
Ganesh Traders — Business Portal
Worked on frontend improvements and product listing features for a B2B portal.
AI & Machine Learning Projects
Fraud Detection System
Developed AI/ML models to detect fraudulent financial transactions, transaction replay attacks, and suspicious user behavior patterns.
Lead Generation Bot
Built an intelligent lead generation bot that classifies user messages, identifies potential leads, and automates responses using NLP models.
Spam-Ham Review Classifier
Trained a supervised ML model to classify product reviews as spam or genuine, improving data integrity for sentiment analysis systems.
HBS Thesis Application — Testing & Optimization
Performed testing and optimization of the HBS Thesis management system. Focused on AI model integration for plagiarism and document similarity detection.
Voice Command Navigation
Implemented voice-based navigation for web and mobile applications, enabling hands-free control using speech recognition APIs.
Voice & Text Search Similarity
Built a multimodal search engine where users can query by voice or text. The system ranks results based on semantic similarity and visual/color matching.
Visual & Color-Based Product Recommendation
Designed a recommendation system that suggests products based on visual similarity, color features, and user purchase history.
NEC Intern Leadership — ARIMA Forecasting
Led a team of NEC interns in AI-driven market analytics using ARIMA models. Conducted festival-based sales analysis and implemented a dynamic price-changing and suggestion system.
Publications
MedConnect - A Comprehensive AI-driven Platform for Seamless Patient care and Optimization of Medical Services
Publisher: IEEEAuthors: Ida Christy J; Abisha D; Navedha Evanjalin R; Sriranjani K; Dimple Abirami S; Guru Varshini B
Published in: 2024 8th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)
DOI: 10.1109/I-SMAC61858.2024.10714762
Potato Leaf Disease Detection using Deep Learning
Publisher: IEEEAuthors: Sriranjani; Abinaya P; G. Sivakamasundari
Published in: 2025 International Conference on Intelligent Computing and Control Systems (ICICCS)
DOI: 10.1109/ICICCS65191.2025.10984928