Siddharth Manoharan

Full Stack Developer with over 5 years of experience in building scalable web and mobile applications using Python (Flask), Angular, and Ionic. Adept at designing and integrating robust APIs, optimizing application performance, and deploying solutions on AWS EC2 and Cloudare. Skilled in MySQL and social media APIs (GBP, Facebook, Instagram, WhatsApp), with a strong track record of developing AI-driven features like sentiment analysis and chatbots to enhance user engagement. Versatile across frontend and backend engineering, with a focus on responsive interfaces, reusable components, and end-to-end product development.

1. Social Media Integration Platform:

• Integrated GBP, Facebook, Instagram, and WhatsApp APIs into client dashboards.
• Enabled real-time social engagement tracking and automated response workows.
• Improved customer interaction rates by 30% through seamless API connectivity.

2. Sentiment Analysis & Chatbot Prototype:

• Led development of AI-driven sentiment analysis tools using Flask and NLP libraries.
• Built chatbot prototypes for customer support, reducing manual queries by 40%.
• Collaborated with the product team to align AI features with user pain points.

3. Cross-Platform Mobile App Development:

• Developed mobile applications using Ionic for Android and iOS.
• Implemented responsive UI components and optimized performance for low-end devices
• Deployed apps on AWS EC2 with Cloudare for enhanced speed and security.

4. Analytics Dashboard & API Suite:

• Designed RESTful APIs with Flask for user analytics and admin controls.
• Built interactive dashboards with Angular, enabling real-time data visualization.
• Ensured secure data ow and optimized backend queries for scalability.

5. AI & Innovation:

• Designed and implemented an AI-powered review analysis system using Anthropic API to generate business-specic replies, perform sentiment analysis on Google reviews, and extract keywords through batch processing.
• Developed an AI-enabled WhatsApp chatbot leveraging Anthropic API to automate customer query handling, delivering contextual and personalised responses based on business proles.
• Built a Python-based web scraper with BeautifulSoup4 to extract business proles and information, generating customised cold emails for lead generation.
• Automated product uploads to GBP proles using Playwright, reducing manual eort and repetitive tasks, thereby saving signicant manpower and hours.