BKBILL KISHORE
@billkishore
Results-oriented Backend Developer with a passion for AI applications.
IndiaWhat I'm looking for
I'm a results-oriented Backend Developer with over a year of experience in designing, developing, and deploying AI-powered applications. My journey has been marked by a proven ability to build robust Retrieval Augmented Generation (RAG) systems from concept to production. I leverage technologies such as Langchain, FastAPI, and Golang to create scalable and efficient backend solutions. My passion lies in writing clean, maintainable code while ensuring that the applications I develop meet the highest standards of performance and reliability.
Throughout my career, I have successfully engineered full-stack applications, including an AI-powered Q&A platform and a chatbot for document analysis. My projects have involved integrating advanced AI functionalities, such as vector embeddings and contextual responses, into user-friendly applications. I thrive on challenges and am eager to apply my strong foundation in backend principles and API development to create innovative solutions that drive business success.
Experience
Work history, roles, and key accomplishments
AI Application Developer
Self Employed
Actively developing AI solutions utilizing Langflow, a visual orchestration platform, to accelerate the prototyping and deployment of LLM-driven applications. Leveraged Langflow's GUI to design, compose, and iterate on complex AI pipelines by connecting pre-built Langchain components, streamlining sophisticated agentic workflows and advanced RAG systems. Focused on building scalable backend servic
AI RAG Chatbot Architect
Self Employed
Architected and developed an AI-driven RAG chatbot enabling users to upload multiple documents, which are then chunked, vectorized, and stored for interactive Q&A. Designed the backend system for document preprocessing, efficient vectorization, and semantic search against user-uploaded content. Ensured scalable storage and retrieval of document embeddings in a vector database.
AI News Aggregator Developer
Self Employed
Building a system to scrape news from global RSS feeds, process the content using AI, and generate unbiased news summaries. Developed web scraping and AI processing services using FastAPI (Python) and designed user-facing APIs with Go (Golang) for performance. Implemented logic for content aggregation, NLP for summarization, and conceptual bias detection.
Full-Stack RAG Platform Engineer
Self Employed
Engineered a full-stack RAG application where administrators publish blog content and users receive AI-generated answers based exclusively on the provided context. Developed backend logic for content ingestion, user query processing, and integration with Gemini AI for contextual responses. Implemented vectorization of blog content using Gemini embedding models and managed embeddings with Supabase
Education
Degrees, certifications, and relevant coursework
Unknown
Backend Development
Results-oriented Backend Developer with 1+ years of experience designing, developing, and deploying AI-powered applications. Proven ability to build robust RAG (Retrieval Augmented Generation) systems from concept to production, leveraging technologies like Langchain, langflow, fast api, golang, Next.js, ML, and LLM. Eager to apply a strong foundation in backend principles, API development, and a
Tech stack
Software and tools used professionally
Availability
Location
IndiaAuthorized to work in
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