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I'm Akshay Bhargav Kulakarni, an AI/ML Engineer with 2+ years of hands-on experience building production-grade ML and GenAI solutions. I specialize in Retrieval-Augmented Generation (RAG) systems, vector search, and scalable architectures that cut retrieval latency and reduce hallucinations. I thrive on turning complex data into reliable AI services that empower enterprise teams. I enjoy building end-to-end pipelines with FastAPI and tooling for model deployment, delivering actionable dashboards and proactive analytics to executives and operations. I work well in cross-functional teams and love solving real-world problems by combining ML, NLP, and GenAI techniques to drive measurable outcomes.…I'm Akshay Bhargav Kulakarni, an AI/ML Engineer with 2+ years of hands-on experience building production-grade ML and GenAI solutions. I specialize in Retrieval-Augmented Generation (RAG) systems, vector search, and scalable architectures that cut retrieval latency and reduce hallucinations. I thrive on turning complex data into reliable AI services that empower enterprise teams. I enjoy building end-to-end pipelines with FastAPI and tooling for model deployment, delivering actionable dashboards and proactive analytics to executives and operations. I work well in cross-functional teams and love solving real-world problems by combining ML, NLP, and GenAI techniques to drive measurable outcomes.

Akshay Bhargav Kulakarni

Data Scientist, AI Engineer, AI Developer, +2

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I'm Akshay Bhargav Kulakarni, an AI/ML Engineer with 2+ years of hands-on experience building production-grade ML and GenAI solutions. I specialize in Retrieval-Augmented Generation (RAG) systems, vector search, and scalable architectures that cut retrieval latency and reduce hallucinations. I thrive on turning complex data into reliable AI services that empower enterprise teams. I enjoy building end-to-end pipelines with FastAPI and tooling for model deployment, delivering actionable dashboards and proactive analytics to executives and operations. I work well in cross-functional teams and love solving real-world problems by combining ML, NLP, and GenAI techniques to drive measurable outcomes.…I'm Akshay Bhargav Kulakarni, an AI/ML Engineer with 2+ years of hands-on experience building production-grade ML and GenAI solutions. I specialize in Retrieval-Augmented Generation (RAG) systems, vector search, and scalable architectures that cut retrieval latency and reduce hallucinations. I thrive on turning complex data into reliable AI services that empower enterprise teams. I enjoy building end-to-end pipelines with FastAPI and tooling for model deployment, delivering actionable dashboards and proactive analytics to executives and operations. I work well in cross-functional teams and love solving real-world problems by combining ML, NLP, and GenAI techniques to drive measurable outcomes.

Available to hire

I’m Akshay Bhargav Kulakarni, an AI/ML Engineer with 2+ years of hands-on experience building production-grade ML and GenAI solutions. I specialize in Retrieval-Augmented Generation (RAG) systems, vector search, and scalable architectures that cut retrieval latency and reduce hallucinations. I thrive on turning complex data into reliable AI services that empower enterprise teams.

I enjoy building end-to-end pipelines with FastAPI and tooling for model deployment, delivering actionable dashboards and proactive analytics to executives and operations. I work well in cross-functional teams and love solving real-world problems by combining ML, NLP, and GenAI techniques to drive measurable outcomes.

Skills

Experience Level

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Data Scientist at IBM

August 1, 2022 - November 1, 2023

Constructed predictive risk models analyzing 50,000+ operational records, improving SLA breach detection by 30% and preventing $200K in potential penalties. Trained ensemble models (Random Forest, Gradient Boosting) achieving 0.87 ROC-AUC on imbalanced datasets through feature engineering and hyperparameter optimization. Identified emerging customer issues 2-3 weeks earlier using NLP drift detection on 100,000+ support interactions. Extracted 25+ predictive features from workload intensity, resource utilization, and dependency metrics. Translated ML insights into executive dashboards influencing quarterly operational planning for a 200+ person team.

AI Engineer at Medasource

August 1, 2024 - Present

Architected RAG-based GenAI applications serving 500+ enterprise users with <2s response latency via optimized vector search and FastAPI endpoints. Engineered document ingestion of 10,000+ clinical documents with semantic chunking and embeddings. Reduced LLM hallucinations by 45% through metadata-aware hybrid retrieval and systematic prompt tuning. Implemented DSPy optimization framework increasing output consistency by 20% across five production use cases. Designed role-based access control and structured logging for secure, auditable LLM services.