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I'm an AI Engineer with hands-on experience building end-to-end ML pipelines, integrating feature engineering workflows with dbt, and optimizing model performance on production-grade data. I specialize in MLOps, model deployment, and automating training and inference cycles using CI/CD and cloud-native tools. I have a strong foundation in SQL and dimensional modeling and enjoy collaborating with product and analytics stakeholders to turn data into measurable impact. I thrive on turning fragmented data into actionable insights, building scalable AI systems, and contributing to responsible AI practices.…I'm an AI Engineer with hands-on experience building end-to-end ML pipelines, integrating feature engineering workflows with dbt, and optimizing model performance on production-grade data. I specialize in MLOps, model deployment, and automating training and inference cycles using CI/CD and cloud-native tools. I have a strong foundation in SQL and dimensional modeling and enjoy collaborating with product and analytics stakeholders to turn data into measurable impact. I thrive on turning fragmented data into actionable insights, building scalable AI systems, and contributing to responsible AI practices.

Karthik Talluri

AI Engineer, Data Scientist, Data Analyst, +2

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I'm an AI Engineer with hands-on experience building end-to-end ML pipelines, integrating feature engineering workflows with dbt, and optimizing model performance on production-grade data. I specialize in MLOps, model deployment, and automating training and inference cycles using CI/CD and cloud-native tools. I have a strong foundation in SQL and dimensional modeling and enjoy collaborating with product and analytics stakeholders to turn data into measurable impact. I thrive on turning fragmented data into actionable insights, building scalable AI systems, and contributing to responsible AI practices.…I'm an AI Engineer with hands-on experience building end-to-end ML pipelines, integrating feature engineering workflows with dbt, and optimizing model performance on production-grade data. I specialize in MLOps, model deployment, and automating training and inference cycles using CI/CD and cloud-native tools. I have a strong foundation in SQL and dimensional modeling and enjoy collaborating with product and analytics stakeholders to turn data into measurable impact. I thrive on turning fragmented data into actionable insights, building scalable AI systems, and contributing to responsible AI practices.

Available to hire

I’m an AI Engineer with hands-on experience building end-to-end ML pipelines, integrating feature engineering workflows with dbt, and optimizing model performance on production-grade data. I specialize in MLOps, model deployment, and automating training and inference cycles using CI/CD and cloud-native tools. I have a strong foundation in SQL and dimensional modeling and enjoy collaborating with product and analytics stakeholders to turn data into measurable impact. I thrive on turning fragmented data into actionable insights, building scalable AI systems, and contributing to responsible AI practices.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Advanced

Hindi

Intermediate

Telugu

Intermediate

Work Experience

AI Engineer at SignalCtrl

May 1, 2025 - November 7, 2025

Built and maintained scalable dbt pipelines to transform Gong and HubSpot data into analytics-ready models, reducing ETL latency and pipeline failures by 30%. Designed dimensional data models integrated with a vector database to power LLM-driven semantic search, improving insight generation and retrieval precision by 20%. Partnered with design partners to validate AI workflows and surface key GTM signals, enhancing cross-source alignment and reducing manual triangulation.

AI/ML Researcher at Inspeq AI

May 1, 2025 - May 1, 2025

Designed and deployed production-grade LLM guardrails using NVIDIA NeMo, TruLens, and transformer-based classifiers, improving bias/toxicity detection precision by 10%. Built full-stack AI safety infrastructure with Dockerized FastAPI services and AWS Lambda optimization, improving reproducibility and inference efficiency by 15%. Led development of fairness and carbon impact metrics, contributing to stakeholder alignment and increasing technical buy-in during investor discussions. Contributed to small language model distillation, groundedness evaluation, and prompt risk assessments improving factual accuracy of outputs by 10% and enabling scalable deployment across internal tools.

AI/ML Intern at Inspeq AI

November 1, 2024 - November 1, 2024

Built Streamlit-based (RAG) prototypes and interactive demos integrating TruLens and NeMo Guardrails, enhancing investor engagement and reducing post-demo drop-off by 20%. Optimized Dockerized FastAPI pipelines for metric-serving, reducing image size and cold-start latency for AWS Lambda deployment by 30%. Collaborated on early-stage experimentation workflows and contributed to rapid prototyping used in pitch materials.

Intern at Atkins Global

July 1, 2022 - July 1, 2022

Developed the application of AI to LIDAR object detection, introducing deep learning with Kerasts and clustering via Mean Shift to enhance object extraction accuracy from highway data by 30%, significantly improving interpretability. Led end-to-end processing of TNRIS LIDAR datasets, transforming raw data using PDAL and integrating spatial analysis tools like QGIS for precise segmentation and labeling. Shifted research direction toward AI-driven geospatial analysis, delivering a working proof-of-concept for real-world deployment.