Bill Kishore

Founding Engineer (AI & Backend) at llmcontrols.ai

Led the design and implementation of an LLM-powered resume screening workflow processing over 10,000 resumes weekly, eliminating manual HR effort. Developed an agentic AI spreadsheet extractor for large datasets with low latency enabling natural language data insights. Built a prompt evaluation platform increasing high-performance prompt iterations and accelerating AI prototype development. Created reusable LLMC templates integrated with vector databases for rapid AI chatbot deployment. Collaborated with cross-functional teams to architect scalable microservices with authentication, multi-tenant isolation, and monitoring frameworks.

Backend Developer & AI Engineer at Zemuria/Mercemur Technologies

Designed and deployed scalable REST APIs using FastAPI and PostgreSQL with low-latency support for active users. Implemented role-based multi-tenant backend infrastructure ensuring data isolation for enterprise customers. Co-developed a full-stack platform redesign using React.js and FastAPI resulting in a tenfold increase in user engagement and improved lead conversion. Integrated CI/CD pipelines with GitHub Actions and Docker; deployed services on AWS ensuring high availability and scalability.

Founding Engineer (AI & Backend) at llmcontrols.ai

Led the design and implementation of an LLM-powered resume screening workflow processing over 10,000 resumes per week, cutting manual HR effort by 100%. Built an agentic AI spreadsheet extractor handling datasets over 100K rows with sub-2-second query latency, enabling natural-language insights. Developed an automated prompt evaluation platform using DSpy and DeepEvals to improve prompt quality and accelerate AI prototyping. Created reusable LLMC templates integrated with vector stores (pg vector, Qdrant) for rapid deployment of AI chatbots and knowledge systems, reducing deployment cycles. Collaborated with cross-functional teams to design scalable microservices with authentication, multi-tenant data isolation, and robust logging/monitoring.

Backend Developer & AI Engineer at Zemuria/Mercemur Technologies

Designed and deployed scalable REST APIs using FastAPI and PostgreSQL to support active users with low-latency responses. Implemented role-based multi-tenant backend infrastructure ensuring complete data isolation across enterprise clients. Collaborated on an end-to-end full-stack platform redesign (React.js + FastAPI), contributing to a 10x growth in user engagement and improved lead conversion. Integrated automated CI/CD pipelines using GitHub Actions and Docker; deployed services on AWS for high availability and scalability.

Founding Engineer (AI & Backend) at llmcontrols.ai

Founded by a former Intel Manager and an eBay Co-founder; designed and implemented an LLM-powered resume screening workflow processing over 10,000 resumes per week, reducing manual HR effort by 100%. Built an agentic AI spreadsheet extractor handling datasets of 100K+ rows with under 2-second latency, enabling natural-language-based data insights. Developed automated prompt evaluation platform using DSpy and DeepEvals to improve high-performing prompts and accelerate prototyping. Created reusable LLMC templates integrated with vector databases (pg vector, Qdrant) for rapid deployment of AI chatbots and knowledge systems. Collaborated on scalable microservices architecture including authentication, multi-tenant data isolation, and logging/monitoring frameworks.

Backend Developer & AI Engineer at Zemuria/Mercemur Technologies

Designed and deployed scalable REST APIs using FastAPI and PostgreSQL to support active users with low-latency responses. Implemented role-based multi-tenant backend infrastructure ensuring complete data isolation across enterprise clients. Collaborated on end-to-end full-stack platform redesign (React.js + FastAPI), resulting in 10x growth in user engagement and improved lead conversion rates. Integrated automated CI/CD pipelines using GitHub Actions and Docker; deployed services on AWS for high availability and scalability.

Founding Engineer (AI & Backend) at llmcontrols.ai

Founding Engineer (AI & Backend) at llmcontrols.ai. Led the design and implementation of LLM-powered resume screening workflow processing 10,000+ resumes per week; built an agentic AI spreadsheet extractor with 100K+ rows and sub-2-second latency; developed automated prompt evaluation platform using DSpy and DeepEvals; created reusable LLMC templates with vector databases (pg_vector, Qdrant) for rapid deployment of AI chatbots and knowledge systems; designed scalable microservices with authentication, multi-tenant data isolation, and logging/monitoring.

Backend Developer & AI Engineer at Zemuria/Mercemur Technologies

Designed and deployed scalable REST APIs using FastAPI and PostgreSQL to support active users with low-latency responses; implemented role-based multi-tenant backend infrastructure ensuring complete data isolation across enterprise clients; contributed to end-to-end full-stack platform redesign (React.js + FastAPI), resulting in 10x growth in user engagement and improved lead conversion; integrated automated CI/CD pipelines using GitHub Actions and Docker; deployed services on AWS for high availability and scalability.

Founding Engineer (AI & Backend) at llmcontrols.ai

Spearheaded the design and implementation of an LLM-powered resume screening workflow processing thousands of resumes weekly; built an agentic AI spreadsheet extractor for datasets with 100K+ rows achieving sub-2s latency; developed automated prompt evaluation platform using DSpy & DeepEvals; created reusable LLMC templates integrated with vector databases (pg vector, Qdrant) for rapid deployment of AI chatbots; designed scalable microservices with authentication, multi-tenant data isolation, and logging/monitoring.