#Generative AI
#Chatbots
#Natural Language Processing
#Call Analytics
#Summarization Tools
#NLP
#Agentic Flows
#Backend Development
#Scalability
#Collaboration
FiXit - AI Developer
📅 September 2024 - Present
🔗 Website
🌟 At Fixit, 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, Neo4j, Azure Services, Docker, CI/CD, LangChain, ChromaDB, GraphQL, TypeScript
- Developed a graph-based Retrieval-Augmented Generation (RAG) system to efficiently manage and analyze chats and calls, improving customer interactions and response accuracy.
- Engineered AI-powered tools for generating, analyzing, and summarizing transcripts, streamlining content workflows and making data more accessible.
- Built, deployed, and maintained sophisticated chatbots that extract actionable insights from call transcriptions, significantly increasing user engagement.
- Designed and implemented microservices architecture with automated scaling, supporting large-scale workloads without performance bottlenecks.
- Enhanced backend code modularity and optimized API scalability and concurrency to ensure easy maintenance and future growth.
- Set up and managed robust CI/CD pipelines (Docker, Azure), automating deployments and updates across platforms.
- Implemented caching strategies using Redis and optimized data storage/retrieval with MongoDB for high performance and low latency.
- Coordinated multi-agent workflows using LangChain and modern orchestration techniques to enable collaborative AI across services.
- Collaborated closely with cross-functional teams to gather requirements and deliver solutions aligned with business goals.
- Conducted rigorous code reviews and debugging, upholding high standards for code quality and system consistency.