Ashish Shrivastava

About Ashish Shrivastava

An accomplished Senior Researcher boasting over 11 years of expertise in Natural Language Processing (NLP), Deep Learning, Agentic AI, and Machine Learning. I have a solid history of crafting robust AI products and contributing significantly to open-source projects. I harbor a deep-seated passion for advancing LLMs, SLMs, and rigorously building use cases and evaluating their robustness. My experience also extends to RAG, multi-agent architecture, and system design.

Experience

1. Principal Research Engineer

   TIFIN

   Apr 2025 — Present

   Championed the end-to-end architecture and build of WorkiFi, integrating advanced multi-agent orchestration, hybrid retrieval pipelines, persistent memory, reasoning modules, and monitoring infrastructure; guided team execution to launch in under 9 months, landing the inauguralpaid customer, boosting initial revenue streams by 40%, and scaling multi-domain query handling 3x faster.• Directed a high-impact team in architecting and launching WorkiFi from concept to deployment, owning design reviews, strategic roadmapping, and flawless execution across multiple rollouts.• Orchestrated a cross-functional LLM infra modernization initiative, standardizing on lightweight open-source models to reduce costs by 70% and consistently deliver TFT P95 under 3s and TLT P95 under 6s.• Lead and manage a cross-functional team of senior applied scientists, establishing governance, delivery cadence, quality standards, and reporting structures.• Architected and scaled enterprise-grade, agentic AI platforms leveraging LLMs, RAG pipelines, embeddings, and multi-agent reasoning systems.• Act as the primary technical and operational interface for enterprise customers, translating AI architecture decisions into business KPIs.• Enabled the first enterprise customer go-live, driving 40% revenue uplift and 3× prediction accuracy improvement.• Delivered 70% reduction in inference and infrastructure costs through the model optimization, compression, and AI system redesign.

Education

• Indian Institute of Technology, Madras

  Master of Science (By Research), Algorithms and Data Structures

  2012 — 2014

• Motivational Pathway

  Bachelor of Technology (B.Tech.), Computer Science and Engineering

  2005 — 2009

Skills

• Machine Learning
• Research
• Algorithms
• Public Speaking
• Html
• Linux
• Data Structures
• Powerpoint
• Java
• English
• Python
• C++
• Deep Learning
• Microsoft Office
• Natural Language Processing
• Xml
• Teamwork
• Microsoft Word
• C
• Teaching
• Social Media