Sidhant Mishra
Explore below
I'm a pre-final year B.Tech IT student at VIT, passionate about Next.js and frontend development. I'm exploring cloud computing while also diving into data science and AI. I enjoy building projects, learning new technologies, and connecting with global communities—fluent in English, हिन्दी, Français, and Español.
Plumcot Systems
[June 2024- July 2024]
Designed and developed a 25-page responsive website using Next.js and ShadCN UI, focusing on modern design and seamless user experience. Improved performance by optimizing API calls and implementing response data caching, resulting in a 30% reduction in page load times. Integrated the frontend with an Express.js-based backend and deployed the application on AWS Amplify, ensuring scalable, efficient, and reliable hosting.
Insignia Consultancy Solutions
[August 2024- October 2024]
Engineered LLM-based speech-to-text services for real-time audio processing in the Mahakumbh app, enabling seamless voice interaction. Developed a robust voice-command system that accurately maps user intents to application features, achieving 90% accuracy using large language models. Additionally, integrated MySQL with Grafana through Docker to build a real-time monitoring dashboard for 15 CCTV data streams, enhancing situational awareness and operational efficiency.
IFI Techsolutions Ltd.
[June 2024- July 2024]
Built a chatbot using Azure AI services to query company guidelines stored in Blob Storage, efficiently handling multiple PDFs averaging 120–130 pages each. Designed a multi-modal Retrieval-Augmented Generation (RAG) agent capable of seamless querying across images, text, and databases, enhancing information accessibility. Additionally, developed an automated video querying pipeline leveraging Azure Video Indexer, AI Search, and OpenAI, streamlining the retrieval of relevant content from video data.
Next.js PWA using Spotify, Dropbox, Gemini APIs for HD wallpapers and personality insights.
Lightweight Models for Encrypted Traffic Analysis on Edge Devices: Optimized Deployment on Raspberry Pi 5.