AI Engineer And Prompt Engineer at TechHighway System Pvt ltd (2025-06 – Present)
Building LLM-powered systems, RAG pipelines, and AI agents with focus on scalable AI infrastructure
- Conducted extensive R&D on Retrieval-Augmented Generation (RAG) systems, focusing on database integration and leveraging Langchain Retriever and embedding models.
- Employed advanced retrieval techniques such as LOTR Retriever, BM25, and similarity-based methods to enhance RAG performance.
- Tested and evaluated various open-source LLMs locally using OLLAMA, including Llama 3.1, Phi 3, Mistral, and Gemma 2.
- Utilized AWS for service development, implementing Lambda functions and monitoring with CloudWatch.
AI Engineer at TechHighway System Pvt ltd (2025-06 – Present)
Developed RAG-based systems for deduplication and metadata enrichment
- Developed a RAG-based system for deduplication and metadata enrichment across a 13M-record dataset, achieving 95% matching accuracy and reducing editorial effort by 80%.
- Conducted R&D on LangChain retrieval systems with Qdrant, Milvus, and PGVector, improving retrieval efficiency by 30%.
- Built CI/CD pipelines using AWS CodePipeline and AWS Bedrock for automated deployment and inference workflows.
AI Engineer at TechHighway System Pvt ltd (2025-06 – Present)
Developed RAG-based hotel information chatbot supporting semantic search
- Developed a RAG-based hotel information chatbot supporting semantic search across hospitality datasets.
- Built data ingestion pipelines processing 8K+ hotel records daily for real-time retrieval.
AI Engineer at Webomates (2024-03 – 2025-05)
Conducted intensive research in LLM field and developed AI applications
- Conducted extensive R&D on Retrieval-Augmented Generation (RAG) systems, focusing on database integration and leveraging Langchain Retriever and embedding models.
- Employed advanced retrieval techniques such as LOTR Retriever, BM25, and similarity-based methods to enhance RAG performance.
- Tested and evaluated various open-source LLMs locally using OLLAMA, including Llama 3.1, Phi 3, Mistral, and Gemma 2.
- Utilized AWS for service development, implementing Lambda functions and monitoring with CloudWatch.
- Done a intensive research in the field of LLM(Large language model) model.
- Developed applications using Streamlit, Langchain, and Various opensources LLms, and deployed them on Google Cloud.
- Guided an AI engineering team effectively.
- Conducted rigorous testing and validation of an AI-powered chatbot.
- Oversaw vendors for making and launching apps.
AI Engineer at Elevatporium Technology (2023-07 – 2024-02)
Conducted intensive research in LLM field and developed AI applications
- Done a intensive research in the field of LLM(Large language model) model.
- Developed applications using Streamlit, Langchain, and Various opensources LLms, and deployed them on Google Cloud.
- Guided an AI engineering team effectively.
- Conducted rigorous testing and validation of an AI-powered chatbot.
- Oversaw vendors for making and launching apps.
