I am a results-driven AI/ML professional with 4+ years of experience building, deploying, and optimizing scalable solutions across NLP, computer vision, and predictive analytics. I specialize in turning data into actionable insights using Python, TensorFlow, PyTorch, and a broad MLOps toolkit, with hands-on exposure to big data platforms like Spark, Databricks, Snowflake, and cloud services. I've delivered end-to-end AI solutions, from predictive maintenance and anomaly detection to recommendation systems and intelligent automation—driving measurable business impact, reducing downtime, and improving efficiency. I thrive in collaborative, Agile environments, mentor peers, and champion best practices in model optimization, feature engineering, and robust deployment.

Karthik Devisetty

I am a results-driven AI/ML professional with 4+ years of experience building, deploying, and optimizing scalable solutions across NLP, computer vision, and predictive analytics. I specialize in turning data into actionable insights using Python, TensorFlow, PyTorch, and a broad MLOps toolkit, with hands-on exposure to big data platforms like Spark, Databricks, Snowflake, and cloud services. I've delivered end-to-end AI solutions, from predictive maintenance and anomaly detection to recommendation systems and intelligent automation—driving measurable business impact, reducing downtime, and improving efficiency. I thrive in collaborative, Agile environments, mentor peers, and champion best practices in model optimization, feature engineering, and robust deployment.

Available to hire

I am a results-driven AI/ML professional with 4+ years of experience building, deploying, and optimizing scalable solutions across NLP, computer vision, and predictive analytics. I specialize in turning data into actionable insights using Python, TensorFlow, PyTorch, and a broad MLOps toolkit, with hands-on exposure to big data platforms like Spark, Databricks, Snowflake, and cloud services.

I’ve delivered end-to-end AI solutions, from predictive maintenance and anomaly detection to recommendation systems and intelligent automation—driving measurable business impact, reducing downtime, and improving efficiency. I thrive in collaborative, Agile environments, mentor peers, and champion best practices in model optimization, feature engineering, and robust deployment.

See more

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
See more

Work Experience

Python Developer with AI/ML at Ford
January 1, 2025 - November 18, 2025
Built predictive models using XGBoost, LightGBM, and PySpark on Databricks + GCP (BigQuery, Vertex AI), reducing equipment downtime by 20%. Designed ETL and streaming pipelines with Apache Beam, Cloud Dataflow, and BigQuery on Google Cloud Platform, cutting data latency by 35%. Developed interactive dashboards in Looker (LookML) and Power BI integrated with GCP BigQuery, enhancing visibility into predictive KPIs. Deployed Python APIs and ML services using GCP Cloud Functions, GKE, and Docker; implemented CI/CD with Cloud Build and GitHub Actions. Collaborated in Agile sprints, leading code reviews and enforcing best practices in Python and ML pipeline design.
Python Developer with AI/ML at Paradies Lagardere
December 1, 2024 - December 1, 2024
Built NLP pipelines using Hugging Face Transformers (BERT, RoBERTa, GPT models) for sentiment analysis, contextual understanding, and text classification of customer reviews. Implemented hybrid search and recommendation systems with Elasticsearch, contextual embeddings, and Retrieval-Augmented Generation (RAG), improving product discovery relevance by 30%. Developed customer churn prediction models with LightGBM, XGBoost, and CatBoost, boosting retention by 18%. Leveraged AWS Lambda, DynamoDB, and SageMaker for low-latency deployment and scalable inference. Built interactive Power BI and Tableau dashboards tracking churn risk, sentiment trends, and recommendation performance. Optimized deep learning training pipelines using TensorFlow and PyTorch with distributed GPU/TPU strategies, reducing model training time by 40%. Established CI/CD workflows with Docker and Kubernetes for automated model deployment and monitoring, ensuring 99.9% uptime in production environments.
Software Engineer at Persistent Systems
December 1, 2023 - December 1, 2023
Created CNN-based image recognition and OCR pipelines (TensorFlow, Keras, OpenCV) to digitize and classify documents, improving OCR accuracy by 25%. Developed NLP models for text classification, NER, and sentiment analysis using Scikit-learn, SpaCy, and NLTK, extracting insights from unstructured client data. Designed predictive analytics models with Scikit-learn, XGBoost, and FastAI, increasing client decision accuracy by 20%. Built REST APIs for ML services with Flask + Docker, deployed to Kubernetes clusters for scalable integration into client applications. Contributed to CI/CD pipelines with GitHub Actions and Jenkins, ensuring reproducible model training, testing, and deployment workflows.

Education

Add your educational history here.

Qualifications

Add your qualifications or awards here.

Industry Experience

Manufacturing, Retail, Software & Internet, Professional Services, Transportation & Logistics