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I’m an AI engineer with over a decade of experience delivering production-grade ML and data solutions. I design scalable ML pipelines, RAG workflows, and multi-cluster processing architectures on AWS and Google Cloud, integrating LLMs, vector search, and hybrid search to unlock actionable knowledge from complex data. I thrive in collaborative, fast-paced environments and enjoy solving ambiguous problems with robust MLOps practices. In cross-functional teams, I bridge data science, data engineering, and DevOps to operationalize AI at scale, from model fine-tuning with LoRA/QLoRA to end-to-end deployment, monitoring, and explainability. I value reproducibility, governance, and user-centric AI that supports real-world decision making.…I’m an AI engineer with over a decade of experience delivering production-grade ML and data solutions. I design scalable ML pipelines, RAG workflows, and multi-cluster processing architectures on AWS and Google Cloud, integrating LLMs, vector search, and hybrid search to unlock actionable knowledge from complex data. I thrive in collaborative, fast-paced environments and enjoy solving ambiguous problems with robust MLOps practices. In cross-functional teams, I bridge data science, data engineering, and DevOps to operationalize AI at scale, from model fine-tuning with LoRA/QLoRA to end-to-end deployment, monitoring, and explainability. I value reproducibility, governance, and user-centric AI that supports real-world decision making.

Vishnu Chalichimala

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

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I’m an AI engineer with over a decade of experience delivering production-grade ML and data solutions. I design scalable ML pipelines, RAG workflows, and multi-cluster processing architectures on AWS and Google Cloud, integrating LLMs, vector search, and hybrid search to unlock actionable knowledge from complex data. I thrive in collaborative, fast-paced environments and enjoy solving ambiguous problems with robust MLOps practices. In cross-functional teams, I bridge data science, data engineering, and DevOps to operationalize AI at scale, from model fine-tuning with LoRA/QLoRA to end-to-end deployment, monitoring, and explainability. I value reproducibility, governance, and user-centric AI that supports real-world decision making.…I’m an AI engineer with over a decade of experience delivering production-grade ML and data solutions. I design scalable ML pipelines, RAG workflows, and multi-cluster processing architectures on AWS and Google Cloud, integrating LLMs, vector search, and hybrid search to unlock actionable knowledge from complex data. I thrive in collaborative, fast-paced environments and enjoy solving ambiguous problems with robust MLOps practices. In cross-functional teams, I bridge data science, data engineering, and DevOps to operationalize AI at scale, from model fine-tuning with LoRA/QLoRA to end-to-end deployment, monitoring, and explainability. I value reproducibility, governance, and user-centric AI that supports real-world decision making.

Available to hire

I’m an AI engineer with over a decade of experience delivering production-grade ML and data solutions. I design scalable ML pipelines, RAG workflows, and multi-cluster processing architectures on AWS and Google Cloud, integrating LLMs, vector search, and hybrid search to unlock actionable knowledge from complex data. I thrive in collaborative, fast-paced environments and enjoy solving ambiguous problems with robust MLOps practices.

In cross-functional teams, I bridge data science, data engineering, and DevOps to operationalize AI at scale, from model fine-tuning with LoRA/QLoRA to end-to-end deployment, monitoring, and explainability. I value reproducibility, governance, and user-centric AI that supports real-world decision making.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

English

Advanced

Work Experience

GenAI/AI Engineer at Spectrum

April 1, 2024 - Present

Architected modular AI agent orchestration within agentic frameworks for autonomous document summarization and financial insights generation. Implemented LoRA/QLoRA fine-tuning, integrated Google Gemini, and built vector-based retrieval with FAISS, Pinecone, and Weaviate. Designed multi-model serving on Kubernetes (GKE) with BentoML/KServe, built distributed generation workflows with Ray, and integrated PromptLayer. Established observability with Prometheus/Grafana, drift and health monitoring with Evidently AI, and dataset/artifact lineage with DVC. Deployed multi-modal pipelines (Whisper, CLIP), automated data pipelines via Airflow, and secure API serving through Cloud Functions/Cloud Run. Provisioned infrastructure with Terraform/Helm for elastic scaling on GKE; standardized MLOps via TFX/MLflow and CI/CD with GitHub Actions.

GENAI/ML Engineer at Amazon

March 1, 2024 - October 24, 2025

Architected cloud-native ML pipelines using SageMaker Pipelines, Argo Workflows, and Apache Airflow; built centralized feature infrastructure with Feast and data pipelines from S3/PostgreSQL for real-time/batch features. Automated model versioning and lineage with MLflow; containerized inference with Docker and Triton/TensorFlow Serving on EKS. Implemented Terraform-based infrastructure and Vault secrets; CI/CD with GitHub Actions; serverless scoring with Lambda; real-time and batch inference for epidemiological risk analyses. Expanded RAG pipelines and vector DB integrations (FAISS, Pinecone). Fine-tuned models with LoRA for robust agent workflows; integrated explainability and monitoring dashboards; enabled prompt management with PromptLayer.

Data Scientist at Capital One

June 1, 2022 - October 24, 2025

Designed ML pipelines with DVC and Git for dataset versioning and feature engineering; deployed SageMaker Inference Endpoints; automated training pipelines via GitHub Actions; containerized workflows with Docker/Kubernetes; enhanced governance with MLflow. Implemented RAG-based retrieval using vector databases for risk/compliance workflows and applied LoRA fine-tuning for model optimization. Exposed secure inference APIs via FastAPI and maintained reproducible pipelines with DVC and Jupyter-notebook workflows.

Data Analyst at American Airlines

January 1, 2018 - October 24, 2025

Extracted and processed structured data from MySQL/PostgreSQL; performed data cleaning/validation, EDA, and designed Tableau dashboards to monitor KPIs. Automated recurring reports, built ad hoc analyses for cross-functional teams, and supported data quality initiatives (missing values, duplicates, schema inconsistencies). Collaborated with business users to translate requirements into data queries and visualizations.

Sr. Data Analyst at CVS Health

December 1, 2019 - October 24, 2025

Performed data analysis, migration, and ETL for data warehousing and modeling. Built scalable data pipelines, applied ML techniques including RAG and vector databases for knowledge retrieval, and leveraged LoRA fine-tuning for model optimization. Developed API endpoints with FastAPI and maintained reproducible data science workflows with notebooks and version control.

Software Developer at MasterCard

September 1, 2016 - October 24, 2025

Engaged in requirements gathering and feature development using Django. Assisted in database design and ORM mapping, implemented CI/CD improvements, and contributed to PySpark-based ETL bridging DB2 to S3. Built RESTful APIs with Flask, supported Kubernetes-based deployments, and authored backend services and data analyses using Python.