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I am an AI Software Engineer with 3+ years of experience building and deploying scalable machine learning and Generative AI systems. I am skilled in LLMs, retrieval-augmented generation pipelines, and PEFT/LoRA, with hands-on experience building secure inference APIs and backend services. I have led cloud deployments on AWS and Azure with containerization, Kubernetes, and Terraform. I am strong in MLOps, observability, and DevSecOps practices such as API security, RBAC, and prompt safety, and I enjoy turning research into production-ready AI solutions. In cross-functional teams, I partner with product managers and researchers to translate experimental models into user-facing features, focusing on reliability, performance, and secure adoption. I have delivered enterprise capabilities like SSO, private dataset access, and audit logging, reducing onboarding time and boosting enterprise readiness.…I am an AI Software Engineer with 3+ years of experience building and deploying scalable machine learning and Generative AI systems. I am skilled in LLMs, retrieval-augmented generation pipelines, and PEFT/LoRA, with hands-on experience building secure inference APIs and backend services. I have led cloud deployments on AWS and Azure with containerization, Kubernetes, and Terraform. I am strong in MLOps, observability, and DevSecOps practices such as API security, RBAC, and prompt safety, and I enjoy turning research into production-ready AI solutions. In cross-functional teams, I partner with product managers and researchers to translate experimental models into user-facing features, focusing on reliability, performance, and secure adoption. I have delivered enterprise capabilities like SSO, private dataset access, and audit logging, reducing onboarding time and boosting enterprise readiness.

Dada Khalandar Puletipalli

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

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I am an AI Software Engineer with 3+ years of experience building and deploying scalable machine learning and Generative AI systems. I am skilled in LLMs, retrieval-augmented generation pipelines, and PEFT/LoRA, with hands-on experience building secure inference APIs and backend services. I have led cloud deployments on AWS and Azure with containerization, Kubernetes, and Terraform. I am strong in MLOps, observability, and DevSecOps practices such as API security, RBAC, and prompt safety, and I enjoy turning research into production-ready AI solutions. In cross-functional teams, I partner with product managers and researchers to translate experimental models into user-facing features, focusing on reliability, performance, and secure adoption. I have delivered enterprise capabilities like SSO, private dataset access, and audit logging, reducing onboarding time and boosting enterprise readiness.…I am an AI Software Engineer with 3+ years of experience building and deploying scalable machine learning and Generative AI systems. I am skilled in LLMs, retrieval-augmented generation pipelines, and PEFT/LoRA, with hands-on experience building secure inference APIs and backend services. I have led cloud deployments on AWS and Azure with containerization, Kubernetes, and Terraform. I am strong in MLOps, observability, and DevSecOps practices such as API security, RBAC, and prompt safety, and I enjoy turning research into production-ready AI solutions. In cross-functional teams, I partner with product managers and researchers to translate experimental models into user-facing features, focusing on reliability, performance, and secure adoption. I have delivered enterprise capabilities like SSO, private dataset access, and audit logging, reducing onboarding time and boosting enterprise readiness.

Available to hire

I am an AI Software Engineer with 3+ years of experience building and deploying scalable machine learning and Generative AI systems. I am skilled in LLMs, retrieval-augmented generation pipelines, and PEFT/LoRA, with hands-on experience building secure inference APIs and backend services. I have led cloud deployments on AWS and Azure with containerization, Kubernetes, and Terraform. I am strong in MLOps, observability, and DevSecOps practices such as API security, RBAC, and prompt safety, and I enjoy turning research into production-ready AI solutions.

In cross-functional teams, I partner with product managers and researchers to translate experimental models into user-facing features, focusing on reliability, performance, and secure adoption. I have delivered enterprise capabilities like SSO, private dataset access, and audit logging, reducing onboarding time and boosting enterprise readiness.

Skills

Experience Level

Expert

Expert

Expert

Expert

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Expert

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Expert

Language

English

Fluent

Work Experience

AI Software Engineer at Hugging Face

December 1, 2024 - Present

Partnered with product managers and research teams to define AI product roadmaps and translate experimental models into user-facing features. Integrated transformer and multimodal models into product workflows using APIs, vector databases, and scalable system design patterns to enable scalable and seamless user experiences. Engineered backend services for AI-driven product features using Python, REST/gRPC, Docker, and Kubernetes, ensuring consistent performance across production environments. Established observability with logging, metrics, and tracing to monitor product performance and optimize infrastructure efficiency, reducing operational costs by 20%. Enhanced open-source libraries such as Transformers to support product integration. Delivered enterprise capabilities including SSO, private dataset access, and audit logging to support secure adoption, reducing onboarding time by 30%.

Machine Learning Engineer at Cognizant

July 1, 2022 - July 1, 2023

Built and fine-tuned machine learning models for prediction and classification, enabling reliable product features and improving model accuracy by 18%. Structured large-scale datasets using Python and SQL to support product analytics and feature development. Created REST APIs with authentication and input validation to power real-time product features. Deployed ML services using Docker and Kubernetes, supporting scalable product functionality and streamlined release cycles. Applied LLM-based solutions with prompt safety and guardrails to ensure controlled outputs. Designed Grafana dashboards to monitor model performance and product usage, improving decision-making speed by 10–15%.

Software Developer at Freshworks

August 1, 2021 - June 1, 2022

Developed backend services using object-oriented design, improving response time by 20% and adhering to secure coding practices. Implemented REST APIs on the Freshworks Developer Platform with authentication and access control, reducing manual workflow effort by 25% and protecting sensitive user data. Built scalable modules with clean, maintainable code, collaborated with QA for automated testing, and supported AI-driven features including RAG-based workflows while ensuring data security. Resolved production issues using logs and monitoring tools to maintain stability and uptime.