Hi, I’m Adeel Beg, an AI Engineer focused on designing and deploying production-grade generative AI applications with agentic workflows, RAG pipelines, and LLM-integrated services for regulated enterprise environments. I bring strong software engineering fundamentals in Python, FastAPI, Docker, and Kubernetes, with hands-on experience across Azure OpenAI, LangGraph, and MongoDB. I own the full software lifecycle from design through production deployment and monitoring, with a consistent focus on reliability, maintainability, and robust failure-mode planning. In my recent work, I delivered end-to-end AI solutions in regulated financial services, including multi-agent compliance document review systems and HR policy intelligence bots. I built RAG pipelines using LangChain and Pinecone, fine-tuned BERT/RoBERTa classifiers achieving high precision, and established governance patterns with human-in-the-loop guardrails and observability harnesses. I’m passionate about turning complex requirements into scalable, secure AI systems that deliver measurable business impact.

Adeel Beg

Hi, I’m Adeel Beg, an AI Engineer focused on designing and deploying production-grade generative AI applications with agentic workflows, RAG pipelines, and LLM-integrated services for regulated enterprise environments. I bring strong software engineering fundamentals in Python, FastAPI, Docker, and Kubernetes, with hands-on experience across Azure OpenAI, LangGraph, and MongoDB. I own the full software lifecycle from design through production deployment and monitoring, with a consistent focus on reliability, maintainability, and robust failure-mode planning. In my recent work, I delivered end-to-end AI solutions in regulated financial services, including multi-agent compliance document review systems and HR policy intelligence bots. I built RAG pipelines using LangChain and Pinecone, fine-tuned BERT/RoBERTa classifiers achieving high precision, and established governance patterns with human-in-the-loop guardrails and observability harnesses. I’m passionate about turning complex requirements into scalable, secure AI systems that deliver measurable business impact.

Available to hire

Hi, I’m Adeel Beg, an AI Engineer focused on designing and deploying production-grade generative AI applications with agentic workflows, RAG pipelines, and LLM-integrated services for regulated enterprise environments. I bring strong software engineering fundamentals in Python, FastAPI, Docker, and Kubernetes, with hands-on experience across Azure OpenAI, LangGraph, and MongoDB. I own the full software lifecycle from design through production deployment and monitoring, with a consistent focus on reliability, maintainability, and robust failure-mode planning.

In my recent work, I delivered end-to-end AI solutions in regulated financial services, including multi-agent compliance document review systems and HR policy intelligence bots. I built RAG pipelines using LangChain and Pinecone, fine-tuned BERT/RoBERTa classifiers achieving high precision, and established governance patterns with human-in-the-loop guardrails and observability harnesses. I’m passionate about turning complex requirements into scalable, secure AI systems that deliver measurable business impact.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate

Language

English
Fluent

Work Experience

AI Software Engineer Intern at Spring Software Ltd
June 1, 2025 - August 1, 2025
Replaced a cosine similarity baseline with a production RAG pipeline (Llama 3 8B) featuring embedding workflows and retrieval optimisation which evaluated with RAGAS, achieving ~60% improvement in feedback accuracy against a reproducible quality baseline.
Data Engineering, Management & Governance Analyst at Accenture Solutions Ltd.
September 1, 2022 - January 1, 2025
Designed and deployed Azure OpenAI-backed RAG pipelines into regulated enterprise compliance workflows — conducting feasibility assessments, engineering grounding strategies and structured output prompting, enabling 500+ employees to query HR policy across 80+ documents. Architected tool-use and function-calling frameworks connecting LLMs to internal APIs and enterprise data sources — translating stakeholder requirements into structured solution designs and shipping across the full prototype-to-production lifecycle. Authored an internal whitepaper on cloud resource estimation for Apache Spark workloads, providing a framework to calculate required compute resources based on data volume (TB/PB scale) which is adopted as a reference guide for infra planning across data engineering projects.

Education

MSc Information Technology Management at Sheffield Hallam University
January 1, 2025 - February 1, 2026
Bachelor of Engineering - Mechatronics Engineering at Chandigarh University
January 1, 2018 - January 1, 2022
MSc Information Technology Management at Sheffield Hallam University
January 1, 2025 - February 1, 2026
Bachelor of Engineering - Mechatronics Engineering at Chandigarh University
January 1, 2018 - January 1, 2022
MSc Information Technology Management at Sheffield Hallam University
January 1, 2025 - February 1, 2026
Bachelor of Engineering - Mechatronics Engineering at Chandigarh University
January 1, 2018 - January 1, 2022

Qualifications

Microsoft Azure AI Fundamentals (AI-900)
January 11, 2030 - June 29, 2026
LLM Foundations: Embeddings & Retrieval
January 11, 2030 - June 29, 2026
PySpark and Big Data Analytics Training
January 11, 2030 - June 29, 2026

Industry Experience

Software & Internet, Professional Services, Financial Services