#Generative AI

#Chatbots

#Natural Language Processing

#Call Analytics

#Summarization Tools

#NLP

#Agentic Flows

#Backend Development

#Scalability

#Collaboration

Fixit AI - Generative AI & Backend Developer

📅 September 2024 - Present

🔗 Website
Fixit AI

🌟 At Fixit AI, I develop advanced AI-driven tools and agentic workflows to enhance user engagement and address real-world problems. My role focuses on building scalable backend systems, optimizing data management, and implementing cutting-edge generative AI technologies to deliver impactful solutions.

Python, FastAPI, Redis, MongoDB, Azure Services, Docker, CI/CD, LangChain, ChromaDB, GraphQL, TypeScript


  • Developed a graph-based Retrieval-Augmented Generation (RAG) system to efficiently manage chats and calls, enhancing customer interactions and providing more accurate responses.
  • Led the creation of an AI-powered tool for generating, analyzing, and summarizing transcripts, streamlining content processing and improving data accessibility.
  • Built and deployed a sophisticated chatbot that delivers actionable insights from call transcriptions, significantly boosting user engagement and satisfaction.
  • Improved backend code modularity, facilitating easier maintenance, scalability, and integration of new features.
  • Set up and maintained CI/CD pipelines, automating deployments to ensure seamless and efficient updates across all platforms.
  • Participated in rigorous code reviews, identifying and fixing bugs to maintain high code quality and consistency across projects.
  • Collaborated with cross-functional teams, gathering requirements and implementing effective solutions that align with business objectives.
  • Developed scalable backend services using FastAPI, enhancing performance and reliability to support growing user demands.
  • Optimized data storage and retrieval by managing databases with Redis and MongoDB, ensuring efficient and secure data handling.
  • Implemented caching mechanisms with Redis, boosting system performance and reducing latency for end-users.