Utkarsh Bhardwaj
Ai Engineer @Swaran Soft
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WORK HISTORY
Ai Engineer @Swaran Soft
Gurugram, IN
Built company\'s first fully local RAG system using Docker, Ollama, and n8n, eliminating external API dependencies and enabling complete data privacy • Developed automated n8n workflows for LinkedIn content creation, customer support agents, invoice processing, and end-to-end social media pipelines • Implemented hardware-accelerated AI inference with Intel AI PC and OpenVINO, offloading models to GPU and integrating via HTTP APIs into workflows • Leading R&D for Gignaati Workbench optimization, testing multiple LLMs across device configurations to identify performance strategies and best practices • Introduced Docker containerization to team, establishing reproducible environments and inspiring team-wide adoption of local-first development • Achieved 50-60% cost and time savings through local AI infrastructure, eliminating cloud API costs for client solutions
EDUCATION
Indira Gandhi National Open University
Master of Arts - MA, Economics
D.A.V. Public School - India
12th Standard , Commerce
Delhi University
B.A. (Hons.) Economics, Economics
ABOUT UTKARSH BHARDWAJ
I am an AI Engineer with an Economist’s mindset. I don\'t just ask \"?\", I ask \"?\"My background in Economics taught me to optimize for scarcity and utility. My experience in Engineering taught me to build for reliability. I sit right at that intersection, building AI systems that solve actual business problems without breaking the bank:I specialize in architecting. At Swaran Soft, I moved beyond standard API wrappers to build fully local RAG systems, cutting operational costs by 60% while improving data privacy. I treat prompt engineering as a rigorous debugging process, not creative writing, ensuring that the systems I deploy are deterministic and production-ready. :I believe code is useless if it doesn\'t solve a root cause. Whether I\'m designing a schema for or optimizing inference with, I prioritize. I translate complex technical constraints into clear business clarity, making me effective in roles that require bridging the gap between engineering and product strategy. :Python, RAG Systems (LangGraph/LangChain), Local LLMs (Ollama, Llama 3), Docker, FastAPI, Vector Databases (Pinecone/pgvector), and Econometrics.I am looking for or roles where I can build scalable, reliable systems that survive the real world.Let’s solve real problems.
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