Priyadutt Bhatt

AI Researcher

Bengaluru, Karnataka, India3 yrs 8 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Expert in causal inference and healthcare analytics.
  • Reduced data processing times from hours to seconds.
  • Specialized in optimizing large language model workflows.
Stackforce AI infers this person is a Healthcare-focused AI/ML Engineer with expertise in data analytics and optimization.

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Skills

Core Skills

Large Language Models (llm)Causal InferenceCloud EfficiencyAiMachine LearningData AnalysisForecastingTime Series Analysis

Other Skills

Actionable InsightsAmazon Web Services (AWS)Anomaly DetectionCampaign OptimizationData EngineeringData ScienceData ScrapingDeep LearningDocker ProductsError MetricsHierarchical time series forecastingInfrastructure OptimizationKubernetesLangChainMLOps

About

AI/ML Engineer with 4 years of experience driving innovative solutions in healthcare commercial analytics, FinOps and Sales. Passionate about leveraging causal inference, optimization, and large language models (LLMs) to solve complex problems and deliver scalable, high-impact products. Proven track record in research, deployment, and cross-functional collaboration to align technology with business needs. Key Highlights: Causal Inference & Research: Deep expertise in graphical causal models for root cause analysis (RCA) of anomalous data points in healthcare analytics, including extensive study, experimentation, and iterative research to uncover actionable insights. Performance Optimization: Dramatically reduced data processing times in pipelines—from 12 hours to 3 hours, down to seconds and milliseconds—through efficient parallel computing techniques like coroutines, multi-processing, and Apache Spark. LLM Evaluation & Workflow Design: Specialized in assessing and refining LLM integrations by building golden datasets, decomposing tasks into multi-LLM calls, implementing smart workflow routing, and optimizing Retrieval-Augmented Generation (RAG) for enhanced accuracy and efficiency. Deployment & Infrastructure: Hands-on experience managing Kubernetes clusters, Docker dependencies, and database optimizations (e.g., indexing) to ensure robust, scalable deployments. Product Strategy & Innovation: Collaborated on feature scoping and brainstorming, aligning product roadmaps with customer needs, market analysis, and long-term vision to drive business growth.

Experience

Regie.ai

AI/ML Engineer

Feb 2025Present · 1 yr 1 mo · Bengaluru, Karnataka, India · Hybrid

  • Building AI research personalizing sales engagement
Causal InferenceResearchLarge Language Models (LLM)Data Engineering

Astuto

Founding Engineer - AI/ML

Feb 2024Dec 2024 · 10 mos · Bengaluru, Karnataka, India · On-site

  • Cloud Efficiency using AI | Saving cloud costs by identifying problems in the resource pool and optimising the infra.
Cloud EfficiencyAIInfrastructure Optimization

Iqvia

2 roles

Software Engineer - Machine Learning

Apr 2022Jan 2024 · 1 yr 9 mos

  • Helping drug manufacturers make decisions based on insights provided for optimising their campaign and inventory.
Machine LearningData AnalysisCampaign Optimization

Software Intern - Machine Learning

Jan 2022Mar 2022 · 2 mos

  • Implemented various POCs for Forecasting Hierarchical or Grouped Time Series using aggregation and
  • dis-aggregation approaches.
  • I Used various Error Metrics in calculating forecast error and dealt with Missing Values in time-series data
ForecastingTime Series AnalysisError Metrics

Education

G H Patel College of Engineering & Technology

Bachelor of Engineering - BE — Information Technology

Jan 2019Jan 2022

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