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Hi, I'm an innovative and systems-driven AI/ML engineer with a decade of experience designing and deploying scalable AI and machine learning solutions across IT operations, enterprise monitoring, and regulatory sectors. I specialize in applying modern MLOps, NLP, and generative AI techniques to build robust solutions that help detect anomalies, correlate events, and automate incident responses. I enjoy building production-grade microservices using FastAPI and Docker, fine-tuning large language models, and orchestrating end-to-end CI/CD pipelines. My experience spans various domains including financial services, regulatory compliance, retail insights, and log intelligence, where I collaborate with cross-functional teams to deliver impactful AI capabilities that meet audit and business needs.…Hi, I'm an innovative and systems-driven AI/ML engineer with a decade of experience designing and deploying scalable AI and machine learning solutions across IT operations, enterprise monitoring, and regulatory sectors. I specialize in applying modern MLOps, NLP, and generative AI techniques to build robust solutions that help detect anomalies, correlate events, and automate incident responses. I enjoy building production-grade microservices using FastAPI and Docker, fine-tuning large language models, and orchestrating end-to-end CI/CD pipelines. My experience spans various domains including financial services, regulatory compliance, retail insights, and log intelligence, where I collaborate with cross-functional teams to deliver impactful AI capabilities that meet audit and business needs.

Keerthi Dandu

AI Engineer, Data Scientist, Developer, +1

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Hi, I'm an innovative and systems-driven AI/ML engineer with a decade of experience designing and deploying scalable AI and machine learning solutions across IT operations, enterprise monitoring, and regulatory sectors. I specialize in applying modern MLOps, NLP, and generative AI techniques to build robust solutions that help detect anomalies, correlate events, and automate incident responses. I enjoy building production-grade microservices using FastAPI and Docker, fine-tuning large language models, and orchestrating end-to-end CI/CD pipelines. My experience spans various domains including financial services, regulatory compliance, retail insights, and log intelligence, where I collaborate with cross-functional teams to deliver impactful AI capabilities that meet audit and business needs.…Hi, I'm an innovative and systems-driven AI/ML engineer with a decade of experience designing and deploying scalable AI and machine learning solutions across IT operations, enterprise monitoring, and regulatory sectors. I specialize in applying modern MLOps, NLP, and generative AI techniques to build robust solutions that help detect anomalies, correlate events, and automate incident responses. I enjoy building production-grade microservices using FastAPI and Docker, fine-tuning large language models, and orchestrating end-to-end CI/CD pipelines. My experience spans various domains including financial services, regulatory compliance, retail insights, and log intelligence, where I collaborate with cross-functional teams to deliver impactful AI capabilities that meet audit and business needs.

Available to hire

Hi, I’m an innovative and systems-driven AI/ML engineer with a decade of experience designing and deploying scalable AI and machine learning solutions across IT operations, enterprise monitoring, and regulatory sectors. I specialize in applying modern MLOps, NLP, and generative AI techniques to build robust solutions that help detect anomalies, correlate events, and automate incident responses.

I enjoy building production-grade microservices using FastAPI and Docker, fine-tuning large language models, and orchestrating end-to-end CI/CD pipelines. My experience spans various domains including financial services, regulatory compliance, retail insights, and log intelligence, where I collaborate with cross-functional teams to deliver impactful AI capabilities that meet audit and business needs.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Work Experience

AI Solutions Developer at The Vanguard Group

December 1, 2024 - Present

Designed and fine-tuned BERT-based transformer models using PyTorch and Hugging Face Transformers for regulatory documents. Developed modular inference services with FastAPI, embedded pre-tokenization and attention masking, containerized via Docker. Integrated fallback API logic using Flask for cold-start conditions. Built CI/CD pipelines with GitHub Actions and managed legacy deployments via Jenkins. Managed hybrid persistence layers using PostgreSQL and MongoDB for inference audit trails and embeddings. Applied transfer learning on BERT models for sentiment tagging. Built experiment lifecycle trackers with MLflow and implemented sequence-aware document processing pipelines with TensorFlow 2.x. Coordinated multi-stage inference chaining using Docker Compose. Authored unit tests with Pytest and designed explainability dashboards with FastAPI and D3.js. Tuned container runtime with health checks and restart policies. Set up continuous drift monitoring and noise reduction. Wrapped Huggin

ML Platform Engineer at Next Generation Technology

November 30, 2024 - August 1, 2025

Engineered reproducible ML pipelines using MLflow and DVC. Containerized GPU-optimized environments with Docker. Automated CI/CD with GitHub Actions and Jenkins. Deployed training workflows on AWS SageMaker. Instrumented pipeline steps with MLflow Tracking. Developed RESTful scoring APIs with FastAPI and Pydantic validation. Versioned artifacts through DVC. Built YAML-driven modular pipeline templates. Integrated basic Kubernetes manifests with health probes and GPU limits. Converted PyTorch models to TorchScript and ONNX for optimized inference. Implemented rollback-safe model registries. Defined DVC stages for data drift monitoring. Used Jupyter Notebooks for diagnostics and CLI pipeline integration. Conducted pipeline health validation with REST checks. Designed custom model packaging for hybrid deployments. Coordinated sprint deliverables with cross-functional teams.

AI/ML Engineer at Sumo Logic

February 28, 2023 - August 1, 2025

Developed multi-stage log classification pipelines with CNNs and LSTM using TensorFlow 2.x. Fine-tuned BERT models for log sequence anomaly prediction. Architected inference APIs with FastAPI and TorchScript models in Docker, deployed on AWS SageMaker. Used MLflow for experiment tracking and DVC for dataset management. Applied Scikit-learn for ensemble baselines and outlier detection. Designed batch retraining with GitHub Actions and Jenkins. Embedded structured log pre-parsers and feature generators with Pandas and SQL. Converted models to ONNX for performance benchmarking. Deployed autoscaling endpoints on Kubernetes EKS. Conducted transfer learning experiments in Google Colab. Built unified REST scoring interfaces supporting real-time and bulk processing. Created PyTorch Lightning training templates with distributed training. Participated in architecture reviews and Agile planning.

Data Scientist – NLP Focus at Manthan

March 31, 2021 - August 1, 2025

Built text classification pipelines using Scikit-learn, TF-IDF vectorization, and logistic regression for retail customer reviews. Designed and deployed custom NER models with SpaCy and regex patterns. Implemented sentiment analysis with NLTK for multilingual inputs. Engineered features using Word2Vec embeddings and part-of-speech tagging. Developed Pandas preprocessing layers for normalization and metadata alignment. Automated SQL-based data extraction. Created Jupyter Notebooks for EDA and label imbalance analysis. Visualized evaluation metrics with Matplotlib and Seaborn. Integrated model inference into REST APIs for real-time scoring. Conducted error analysis with SpaCy dependency parsing. Maintained Git versioning and collaborated with product and analytics teams on business taxonomy tuning.

Python Developer – ML Toolkit Support at Sutherland

September 30, 2018 - August 1, 2025

Built data preprocessing modules using NumPy and Pandas. Integrated Scikit-learn models for classification, regression, and clustering. Developed Flask APIs exposing model endpoints with REST responses. Wrote unit tests using unittest and mocks. Prototyped pipelines in Jupyter Notebooks with Matplotlib visualizations. Automated batch scoring with shell scripts on Linux. Handled JSON API payloads and schema validation. Used Python logging for tracking and debugging. Managed code versions with Git. Created basic Docker images for isolated testing and portability.