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I'm Nishant Panchal, an AI Engineer with 4+ years of hands-on experience delivering production-grade AI systems. I specialize in agentic AI workflows, LLM-powered document extraction pipelines, and end-to-end data engineering, with a strong focus on Retrieval-Augmented Generation (RAG), prompt engineering, and model evaluation. I enjoy building scalable, reliable AI solutions and collaborating across data, product, and engineering teams to ship intelligent systems that reason, retrieve, and act in real-world environments.…I'm Nishant Panchal, an AI Engineer with 4+ years of hands-on experience delivering production-grade AI systems. I specialize in agentic AI workflows, LLM-powered document extraction pipelines, and end-to-end data engineering, with a strong focus on Retrieval-Augmented Generation (RAG), prompt engineering, and model evaluation. I enjoy building scalable, reliable AI solutions and collaborating across data, product, and engineering teams to ship intelligent systems that reason, retrieve, and act in real-world environments.

Nishant Panchal

AI Engineer, Full Stack Developer, Data Scientist, +2

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I'm Nishant Panchal, an AI Engineer with 4+ years of hands-on experience delivering production-grade AI systems. I specialize in agentic AI workflows, LLM-powered document extraction pipelines, and end-to-end data engineering, with a strong focus on Retrieval-Augmented Generation (RAG), prompt engineering, and model evaluation. I enjoy building scalable, reliable AI solutions and collaborating across data, product, and engineering teams to ship intelligent systems that reason, retrieve, and act in real-world environments.…I'm Nishant Panchal, an AI Engineer with 4+ years of hands-on experience delivering production-grade AI systems. I specialize in agentic AI workflows, LLM-powered document extraction pipelines, and end-to-end data engineering, with a strong focus on Retrieval-Augmented Generation (RAG), prompt engineering, and model evaluation. I enjoy building scalable, reliable AI solutions and collaborating across data, product, and engineering teams to ship intelligent systems that reason, retrieve, and act in real-world environments.

Available to hire

I’m Nishant Panchal, an AI Engineer with 4+ years of hands-on experience delivering production-grade AI systems. I specialize in agentic AI workflows, LLM-powered document extraction pipelines, and end-to-end data engineering, with a strong focus on Retrieval-Augmented Generation (RAG), prompt engineering, and model evaluation.

I enjoy building scalable, reliable AI solutions and collaborating across data, product, and engineering teams to ship intelligent systems that reason, retrieve, and act in real-world environments.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Work Experience

AI Engineer at Turing United Kingdom

June 1, 2024 - March 1, 2026

Built and deployed production-grade agentic AI pipelines leveraging LLMs, RAG, semantic embeddings, and vector search (FAISS) to enable intelligent extraction and contextual reasoning over large-scale unstructured documentation. Designed and implemented LLM evaluation and alignment frameworks, assessing correctness, factuality, coherence, reasoning quality, hallucinations, and instruction adherence through side-by-side comparisons and failure analysis. Fine-tuned and optimized Large Language Models using Supervised Fine-Tuning (SFT) and human feedback data, improving response quality, contextual understanding, and model reliability across diverse real-world tasks. Designed and developed an Agentic AI Digital Twin system incorporating contextual memory, semantic retrieval, tool calling, and autonomous workflows enabling personality-grounded, multi-turn conversational experiences and intelligent action execution.

Data Analyst at Vodafone Group (VOIS)

July 1, 2020 - September 1, 2022

Owned BAU maintenance of Power BI dashboards for operational and performance reporting; improved report usability and ensured consistent KPI definitions for stakeholders. Built and optimized DAX measures and Power Query transformations, improving query efficiency and reducing recurring reporting issues. Validated reporting outputs using SQL and reconciliation checks; identified anomalies and improved confidence in performance reporting. Delivered workforce analytics by integrating HR and operational datasets, supporting leadership decision-making. Standardised data quality checks and validation pipelines using SQL and Python (null checks, duplicates, threshold alerts), improving reliability of downstream reporting.