Open to new opportunities

Building enterprise AI systems
that ship, scale, and hold up in production.

I'm Varun Mathur, an AI/ML Computational Science Senior Analyst at Accenture. I design and ship LLM-powered platforms, retrieval-augmented systems, and semantic search at enterprise scale — the kind of work that turns a proof of concept into something 19 engineers rely on.

About

Over the past three years at Accenture, I've moved from analyst to senior analyst while owning AI systems end to end — architecture, implementation, and production reliability. My work sits at the intersection of LLMs, retrieval systems, and distributed backend engineering.

Recent highlights: cutting response latency by 40% and production defects by 57% on an enterprise AI platform, pushing semantic search precision from 30% to 87% across 167K+ documents, and reducing hallucinated responses by 78% through systematic evaluation and prompt engineering.

Before Accenture, I trained GANs at Samsung R&D to improve computer vision robustness under real-world glare conditions. I hold a B.Tech in Electronics & Communications Engineering from VIT with a 9.03 CGPA, and I'm always glad to talk about what I'm building next.

40%
Latency reduction on enterprise AI platform
87%
Search precision, up from 30%, across 167K+ docs
19
Engineers mentored across 2 GenAI initiatives
Experience

Where I've made an impact

A track record of taking generative AI from proof of concept to production, at enterprise scale.

Accenture
AI/ML Computational Science Senior Analyst Nov 2025 — Present
Bangalore, India
  • Architected and scaled an enterprise AI platform implementing conversational memory, intelligent suggestion services, query correction, and prompt orchestration — reducing response latency by 40% and production defects by 57%.
  • Designed and optimized a large-scale semantic search system indexing 167K+ enterprise documents using vector embeddings and NLP pipelines, improving search precision from 30% to 87%.
  • Developed and deployed a generative AI analytics service for automated earnings-report processing, cutting analysis turnaround time by 93% through scalable backend workflows and LLM-powered pipelines.
  • Built and delivered reusable AI-powered applications adopted across internal and client-facing products, improving knowledge discovery and operational efficiency.
  • Reengineered a production RAG platform using Azure Functions, Python, and Azure Blob Storage, improving system reliability by 35% and eliminating service downtime.
  • Collaborated across product, engineering, and business teams to deliver scalable AI capabilities from design through production deployment.
Accenture
AI/ML Computational Science Analyst Sept 2023 — Nov 2025
Bangalore, India
  • Migrated a production generative AI application to the Haystack framework, improving response accuracy from 66% to 92% while enhancing maintainability and deployment reliability.
  • Built backend services integrating LLMs, retrieval systems, and external tools through function-calling architectures to support production AI applications.
  • Reduced incorrect and hallucinated responses by 78% through systematic prompt optimization, retrieval improvements, evaluation frameworks, and tool integration.
  • Presented technical architecture and implementation strategy for generative AI solutions to senior leadership, driving investment and delivery of 5 production-grade AI assets.
Internship · Samsung R&D
Computer Vision Engineer May 2021 — Feb 2022
Bangalore, India
  • Trained GANs written with PyTorch to overlay realistic reflections on images, improving dataset robustness under glare conditions by 35%.
  • Applied GAN-generated synthetic reflections to augment computer vision datasets, enhancing the accuracy of glare removal by up to 21%.
Leadership

AI Architect & Team Leader

  • Mentored cross-functional teams of up to 19 engineers across 2 enterprise Generative AI initiatives.
  • Launched 5 production AI assets, reducing dev cycle by 28% and improving cross-team delivery efficiency by 35%.
  • Re-architected validation and testing workflows, raising accuracy to 95% and reducing release time by 30%.
  • Spearheaded a generative AI proof of concept to senior leadership, securing investment for dedicated asset development — leading to 5 shipped assets.
Skills

Tools of the trade

The languages, frameworks, and infrastructure I use to take AI systems from idea to production.

Languages

PythonJavaSQL

AI/ML & Frameworks

LLMsRAGSemantic Search NLPEmbeddingsPrompt Engineering LangChainHaystackCrewAI OpenAI SDKMulti-Agent Systems

Backend & Cloud

FastAPIREST APIsMicroservices Microsoft AzureAzure FunctionsDocker CI/CDAzure Blob Storage

Databases & Engineering

PostgreSQLSQL ServerVector Databases System DesignDistributed SystemsScalability Performance OptimizationUnit TestingGit
Projects

Selected Projects

Work I'm proud of — product thinking, engineering, and things you can try live.

Certifications

Credentials

Education

Academic background

Vellore Institute of Technology

Bachelor of Technology in Electronics & Communications Engineering

Jul 2019 — Jul 2023

9.03
CGPA
Contact

Let's build something intelligent together

I'm actively exploring new opportunities in AI/ML engineering. If you're hiring, or just want to talk shop about RAG systems and production LLM architecture, my inbox is open.