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I am an AI engineer with 3+ years of experience applying data science, machine learning, and generative AI to business problems across consulting and enterprise analytics. I have a strong foundation in traditional ML and NLP techniques and a track record of building and evaluating retrieval-augmented generation workflows that support 2–3 analytic and decision-support use cases with a solid foundation in classic ML and NLP techniques. I excel at translating stakeholder requirements into well-scoped Gen AI solutions and supporting them through evaluation and iteration across multiple internal initiatives, leveraging cloud platforms (Azure/AWS) and modern AI frameworks to deliver practical, auditable AI-powered outcomes.…I am an AI engineer with 3+ years of experience applying data science, machine learning, and generative AI to business problems across consulting and enterprise analytics. I have a strong foundation in traditional ML and NLP techniques and a track record of building and evaluating retrieval-augmented generation workflows that support 2–3 analytic and decision-support use cases with a solid foundation in classic ML and NLP techniques. I excel at translating stakeholder requirements into well-scoped Gen AI solutions and supporting them through evaluation and iteration across multiple internal initiatives, leveraging cloud platforms (Azure/AWS) and modern AI frameworks to deliver practical, auditable AI-powered outcomes.

Likhitha Guggilla

AI Engineer, Data Scientist, Full Stack Developer, +2

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I am an AI engineer with 3+ years of experience applying data science, machine learning, and generative AI to business problems across consulting and enterprise analytics. I have a strong foundation in traditional ML and NLP techniques and a track record of building and evaluating retrieval-augmented generation workflows that support 2–3 analytic and decision-support use cases with a solid foundation in classic ML and NLP techniques. I excel at translating stakeholder requirements into well-scoped Gen AI solutions and supporting them through evaluation and iteration across multiple internal initiatives, leveraging cloud platforms (Azure/AWS) and modern AI frameworks to deliver practical, auditable AI-powered outcomes.…I am an AI engineer with 3+ years of experience applying data science, machine learning, and generative AI to business problems across consulting and enterprise analytics. I have a strong foundation in traditional ML and NLP techniques and a track record of building and evaluating retrieval-augmented generation workflows that support 2–3 analytic and decision-support use cases with a solid foundation in classic ML and NLP techniques. I excel at translating stakeholder requirements into well-scoped Gen AI solutions and supporting them through evaluation and iteration across multiple internal initiatives, leveraging cloud platforms (Azure/AWS) and modern AI frameworks to deliver practical, auditable AI-powered outcomes.

Available to hire

I am an AI engineer with 3+ years of experience applying data science, machine learning, and generative AI to business problems across consulting and enterprise analytics. I have a strong foundation in traditional ML and NLP techniques and a track record of building and evaluating retrieval-augmented generation workflows that support 2–3 analytic and decision-support use cases with a solid foundation in classic ML and NLP techniques.

I excel at translating stakeholder requirements into well-scoped Gen AI solutions and supporting them through evaluation and iteration across multiple internal initiatives, leveraging cloud platforms (Azure/AWS) and modern AI frameworks to deliver practical, auditable AI-powered outcomes.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

AI Engineer at McKinsey & Company

August 1, 2025 - Present

Built an internal RAG-powered research assistant using LangChain, LangGraph, Pinecone, and OpenAI APIs to query 100K+ proprietary reports, case decks, and industry notes, reducing manual document review time for consultant research workflows and enabling faster evidence synthesis across multi-document sources.

Programmer Analyst - Data Scientist at Cognizant India

September 1, 2021 - May 1, 2023

Engineered large-scale feature engineering and validation pipelines using Python, PySpark, and SQL to standardize inputs across 1M+ BNPL transaction records from multiple systems, adding automated schema checks and null-detection before model training.

Data Scientist at KPMG India

July 1, 2020 - August 1, 2021

Formulated regression-based virtual sensor models using Scikit-Learn, XGBoost, and LightGBM with balanced sampling across 3 risk-policy settings, producing driver-level explanations and interpretable outputs for audits and process improvement.