Prabhat gupta

I’m an AI/ML Engineer with 8+ years of experience, including 7+ years focused on Machine Learning, NLP and Generative AI. My experience spans the complete AI lifecycle—from understanding business problems and building POCs to developing scalable solutions and delivering measurable business outcomes.

My core expertise includes Python, SQL, Machine Learning, NLP, LLMs, RAG, Agentic AI, Multi-Agent Systems, Prompt Engineering, Fine-Tuning, Embeddings and Document Intelligence. I have hands-on experience with LangGraph, LangChain, AWS Bedrock, AWS Lambda, Docker, Snowflake, FAISS, Qdrant, Chroma and HNSW.

At LSEG, I have worked on multiple AI/ML initiatives, including LLM-based sales-signal detection, customer experience analytics, document intelligence, enterprise RAG, multi-agent PII detection, translation and NLP classification.

Some key achievements include:

• Contributed to ~£450K revenue through an LLM-based Sales Signal solution.

• Improved document extraction accuracy from 72% to 94% through Qwen2-VL fine-tuning.

• Improved NPS from 20% to 45% through LLM-based customer experience analytics.

• Improved PII detection accuracy by 18% using a LangGraph-based multi-agent approach.

• Built an NLP classification solution processing 5,000 documents per 15-minute cycle with 97.4% precision.

• Worked on duplicate detection across 17M records, reducing data noise by 20%.

I’m particularly interested in Generative AI, LLM applications, RAG, Agentic AI and productionizing AI solutions, and I enjoy solving complex problems where AI can create measurable business impact.