constcoder={name:'Tushar Pamnani',skills:['Rust', 'C', 'C++', 'Python', 'Next.js', 'React Native', 'Supabase', 'Firebase', 'Docker', 'GitHub Actions', 'Blockchain', 'AI']hardWorker:true,quickLearner:true,problemSolver:true,};I am Tushar Pamnani, a passionate developer, community builder, and blockchain enthusiast. With experience in Web3, decentralized technologies, and data science, I actively contribute to tech communities and organize events, hackathons, and workshops. My core skills include Rust, JavaScript, and blockchain development. I enjoy solving complex problems, building impactful projects, and helping others grow in the tech space. I am always open to exciting opportunities that align with my skills and interests.
Nagpur, MH
Remote, IN
Remote, IN
Remote, IN
Git Connect AI
constproject={name:'Git Connect AI',tools: ['Next.js', 'TypeScript', 'Gemini', 'LangChain', 'Assembly AI', 'GitHub API (Octokit)', 'T3 Stack', 'Prisma', 'NeonDB', 'PostgreSQL', 'Firebase Storage', 'Clerk', 'ShadCN', 'Stripe'],myRole:'Full Stack Developer',description:'Built an AI-powered collaboration tool used by 100+ developers for repository queries, meeting management, and discussion analysis. Integrated Gemini, LangChain, and Assembly AI to automate documentation and improve code understanding, reducing onboarding time by 40%. Designed a scalable architecture using the T3 stack with Prisma, NeonDB (PostgreSQL), and Firebase Storage. Implemented Stripe for monetization and Clerk for authentication, supporting real-time collaboration with over 500+ API requests processed.',};Coffee Shop Chatbot
constproject={name:'Coffee Shop Chatbot',tools: ['React Native', 'Python', 'Apriori Recommendation System', 'Pinecone', 'Firebase', 'RunPod', 'Docker', 'Kaggle', 'Hugging Face', 'LLaMA', 'AI Agents', 'Expo'],myRole:'Full Stack Developer',description:'Developed an AI-powered chatbot for a cross-platform mobile app, handling 500+ customer queries in real time. Integrated Firebase for scalable data management and Pinecone for vector-based retrieval. Implemented an Apriori-based recommendation system to personalize order suggestions, increasing recommendation accuracy by 30%. Leveraged LLaMA models via Hugging Face for NLP-driven responses, AI agents for workflow automation, and deployed on RunPod’s ML infrastructure with Docker to reduce response latency by 20%. Used Kaggle datasets for model training and optimized performance with Expo for seamless mobile deployment.',};Craftify
constproject={name:'Craftify',tools: ['Next.js', 'TypeScript', 'Tailwind CSS'],myRole:'Full Stack Developer',description:'Built a free React component customizer that lets developers edit content, layout, and themes in real time with instant JSX code export. Helped 1,000+ devs skip boilerplate UI coding by offering copy/download-ready components. Designed live preview system using dynamic state management and theme injection, speeding up frontend prototyping significantly.',};Shree Ramdeobaba College of Engineering and Management