# Krishna Teja Kaleri

> Software Engineer | AI & LLM Development | Java, Python, Spring Boot | Building Scalable Intelligent Systems on Cloud

Location: Dallas, Texas, United States
Profile: https://flows.cv/krishnatejakaleri

I’m a Software Engineer and AI Developer passionate about building intelligent systems that blend machine learning, generative AI, and scalable backend engineering. My experience spans designing LLM-driven applications, RAG architectures, and autonomous agent systems that transform how humans and machines collaborate.

I specialize in Java (Spring Boot) and Python, with strong skills in REST API development, microservices, and cloud deployment on Azure and AWS. I’ve built end-to-end GenAI solutions using tools like LangChain, LangGraph, and vector databases (FAISS, Chroma, Pinecone), and have hands-on experience deploying LLM workloads using Azure OpenAI and containerized microservices on Kubernetes (AKS).

I’m deeply interested in how AI infrastructure, MLOps, and data pipelines come together to make systems more adaptive, reliable, and impactful. My goal is to keep growing as an engineer, building products that are not only technically strong but also drive meaningful innovation.

If you’re looking for someone who thrives at the intersection of software development and AI systems, loves solving complex problems, and believes in continuous learning, I’d love to connect.

Thanks,
kalerikt310@gmail.com
9452414827

## Work Experience
### Gen AI Engineer @ Cyient
Jan 2024 – Present | Allen, Texas, United States
●	Built agentic GenAI systems capable of autonomous goal planning, stepwise execution, and self-correction loops using LLMs, LangChain, and LangGraph.
●	Integrated agent capabilities into enterprise platforms using Java, Spring Boot, REST/GraphQL, and autonomous workflow orchestration layers.
●	Developed user-facing AI experiences with React /TypeScript, enabling conversational UIs, agent dashboards, and real-time task monitoring.

### AI Engineer @ Parkland Health
Jan 2023 – Jan 2024 | Dallas, Texas, United States
Built GenAI applications and autonomous reasoning systems using LLMs, LangChain, and custom tool-calling frameworks integrated with Java Spring Boot microservices.

Developed RAG pipelines with Chroma and HuggingFace embeddings, optimized prompts, and connected enterprise data via Kafka, RabbitMQ, and REST/GraphQL APIs.

Deployed and maintained LLM-based applications on Azure (OpenAI, AKS, Cognitive Search) with CI/CD, MLOps, and monitoring to ensure scalable, reliable performance.

### ML Engineer @ Wipro
Jan 2021 – Jan 2022 | Hyderabad, Telangana, India
Built and deployed machine learning workflows and backend microservices using Java Spring Boot, Python, and REST/gRPC APIs for scalable, real-time inference.

Implemented end-to-end ML pipelines with TensorFlow, PyTorch, and scikit-learn, integrating feature engineering, model training, and MLOps automation using MLflow and Kubeflow.

Optimized model performance and lifecycle management through CI/CD, containerized deployments (Docker, Kubernetes), and monitoring for drift, latency, and reliability.


## Education
### Master's degree in Information Technology and Management
The University of Texas at Dallas

### Bachelor of Technology - BTech in Electrical, Electronics and Communications Engineering
SREYAS INSTITUTE OF ENGINEERING & TECHNOLOGY


## Contact & Social
- LinkedIn: https://linkedin.com/in/krishnatejakaleri

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Source: https://flows.cv/krishnatejakaleri
JSON Resume: https://flows.cv/krishnatejakaleri/resume.json
Last updated: 2026-04-16