Ashish Shrivastava

Lead ML Engineer

Bengaluru, Karnataka, India12 yrs 5 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Over 11 years of expertise in AI and NLP.
Led multiple high-impact AI product developments.
Significant contributions to open-source projects.

Stackforce AI infers this person is a Senior AI Researcher specializing in Natural Language Processing and Machine Learning.

Contact

Skills

Core Skills

Natural Language ProcessingMachine LearningLarge Language Models (llm)

Other Skills

AWS SageMakerAmazon Web Services (AWS)Applied SciencesBaselinesBusiness RequirementsCUDAClarityCode ReviewComputer ScienceCritical ThinkingData PreparationData QualityDatasetsDebuggingDeep Learning

About

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

12 yrs 5 mos

Total Experience

1 yr 10 mos

Average Tenure

1 yr 2 mos

Current Experience

Tifin

Principal Research Engineer

Apr 2025 – Present · 1 yr 2 mos · On-site

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 inaugural
paid 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.

Large Language Models (LLM)Natural Language ProcessingMachine LearningDeep LearningPrompt EngineeringOpenAI API+2

Walmart global tech india

Senior Data Scientist

Oct 2022 – Mar 2025 · 2 yrs 5 mos · Bengaluru, Karnataka, India

Led the design, development, and deployment of a scalable LLM inference pipeline, driving 6.5M+ daily attribute extractions, 65% cost reductions, and 5x faster catalog pipelines through optimized engineering and team coordination.
Championed partnerships across catalog teams to gather and integrate data, architecting automated enrichment and evaluation workflows that accelerated onboarding, boosted efficiency, and empowered rapid team scaling.

Interpersonal CommunicationFeature SelectionMathematicsPrototypingPerformance MonitoringCritical Thinking+54

Coinbase

Senior Machine Learning Engineer

Jul 2021 – Jun 2022 · 11 mos · Bangalore Urban, Karnataka, India

Spearheaded the design and rollout of Listnr, a multi-source customer voice analytics system tracking mail, chat, voice, social, surveys, and reviews to surface critical topics and trends; drove cross-team adoption, resulting in 17% higher CSAT, 32% faster resolutions, and 25% uplift in feature engagement through targeted interventions.
Designed and built the full-cycle development and rollout of a precision queue prediction system for optimal ticket and email domain routing; empowered cross-functional teams to achieve 45% fewer errors, 30% faster resolutions, and 25% higher throughput via targeted optimizations.

Interpersonal CommunicationFeature SelectionMathematicsPrototypingPerformance MonitoringCritical Thinking+55

Ipsoft

Research And Development Engineer

May 2016 – Jul 2021 · 5 yrs 2 mos · Bengaluru Area, India

Led the development of a contextualized fallback response system for handling unanswerable dialogue queries using Hugging Face models (with published paper), enabling graceful conversation recovery that boosted user retention by 28%, reduced drop-off rates by 35%, and improved overall engagement metrics by 22%.
Designed, built, and deployed an advanced question generation system from raw text, leveraging constituency parsing, dependency parsing, and semantic role labeling (SRL) for precise extraction. Improved downstream AI model training data quality 25%.
Build a high-precision Verb Sense Disambiguation system to pinpoint correct verb senses in context, elevating semantic understanding that boosted NLP pipeline accuracy by 21%, and improved downstream model performance by 23% across AI applications.

Interpersonal CommunicationFeature SelectionMathematicsPerformance MonitoringCritical ThinkingVirtual Assistance+50

Intel corporation

Application Developer

Feb 2015 – Apr 2016 · 1 yr 2 mos · Bengaluru Area, India

Build a specialized pipeline for attribute and keyword extraction from Intel chip manufacturing documents, delivering precise data structuring that accelerated R&D workflows by 35%, reduced manual annotation efforts by 40%

Feature SelectionMathematicsPrototypingCritical ThinkingTrainingIndustrial Experience+32

Cognizant

Associate

Sep 2014 – Jan 2015 · 4 mos · Chennai Area, India

Build an advanced extraction pipeline for client data, enabling automated attribute/keyword parsing that drove 35% faster workflows, 40% lower manual efforts.

MathematicsCritical ThinkingIndustrial ExperienceGrowth StrategiesProduction SystemsComputer Science+15

Naraina college of engineering and technology

Lecturer

Aug 2010 – Nov 2011 · 1 yr 3 mos · Kanpur Area, India

Directed academic instruction and team-based learning in AI, Algorithms & Data Structures, and Theory of Computation, guiding 50+ students to achieve higher project success rates, improved problem-solving proficiency

Computer ScienceProblem SolvingSoftware DesignClarityPresentation Skills