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I am an innovative and results-driven AI Engineer with almost 6 years of experience delivering cutting-edge AI and machine learning solutions across diverse sectors such as aviation, insurance, and enterprise automation. I specialize in designing and deploying large language model-powered applications, retrieval-augmented generation pipelines, and NLP-driven microservices using state-of-the-art models including GPT-4, BERT, and MiniLM. Experienced in full lifecycle AI system development from data ingestion to real-time inference, I leverage frameworks like HuggingFace Transformers, LangChain, and PyTorch to build scalable, production-grade AI solutions. My background also includes extensive cloud-native AI engineering on AWS and Google Cloud, orchestrating GenAI workflows, and automating machine learning lifecycles to align with business goals. I pride myself on strong cross-functional collaboration and driving enterprise AI adoption by implementing responsible, scalable generative AI technologies tailored to real-world business problems.…I am an innovative and results-driven AI Engineer with almost 6 years of experience delivering cutting-edge AI and machine learning solutions across diverse sectors such as aviation, insurance, and enterprise automation. I specialize in designing and deploying large language model-powered applications, retrieval-augmented generation pipelines, and NLP-driven microservices using state-of-the-art models including GPT-4, BERT, and MiniLM. Experienced in full lifecycle AI system development from data ingestion to real-time inference, I leverage frameworks like HuggingFace Transformers, LangChain, and PyTorch to build scalable, production-grade AI solutions. My background also includes extensive cloud-native AI engineering on AWS and Google Cloud, orchestrating GenAI workflows, and automating machine learning lifecycles to align with business goals. I pride myself on strong cross-functional collaboration and driving enterprise AI adoption by implementing responsible, scalable generative AI technologies tailored to real-world business problems.

Pavankalyan Dasari

AI Engineer, Data Scientist, Developer, +2

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I am an innovative and results-driven AI Engineer with almost 6 years of experience delivering cutting-edge AI and machine learning solutions across diverse sectors such as aviation, insurance, and enterprise automation. I specialize in designing and deploying large language model-powered applications, retrieval-augmented generation pipelines, and NLP-driven microservices using state-of-the-art models including GPT-4, BERT, and MiniLM. Experienced in full lifecycle AI system development from data ingestion to real-time inference, I leverage frameworks like HuggingFace Transformers, LangChain, and PyTorch to build scalable, production-grade AI solutions. My background also includes extensive cloud-native AI engineering on AWS and Google Cloud, orchestrating GenAI workflows, and automating machine learning lifecycles to align with business goals. I pride myself on strong cross-functional collaboration and driving enterprise AI adoption by implementing responsible, scalable generative AI technologies tailored to real-world business problems.…I am an innovative and results-driven AI Engineer with almost 6 years of experience delivering cutting-edge AI and machine learning solutions across diverse sectors such as aviation, insurance, and enterprise automation. I specialize in designing and deploying large language model-powered applications, retrieval-augmented generation pipelines, and NLP-driven microservices using state-of-the-art models including GPT-4, BERT, and MiniLM. Experienced in full lifecycle AI system development from data ingestion to real-time inference, I leverage frameworks like HuggingFace Transformers, LangChain, and PyTorch to build scalable, production-grade AI solutions. My background also includes extensive cloud-native AI engineering on AWS and Google Cloud, orchestrating GenAI workflows, and automating machine learning lifecycles to align with business goals. I pride myself on strong cross-functional collaboration and driving enterprise AI adoption by implementing responsible, scalable generative AI technologies tailored to real-world business problems.

Available to hire

I am an innovative and results-driven AI Engineer with almost 6 years of experience delivering cutting-edge AI and machine learning solutions across diverse sectors such as aviation, insurance, and enterprise automation. I specialize in designing and deploying large language model-powered applications, retrieval-augmented generation pipelines, and NLP-driven microservices using state-of-the-art models including GPT-4, BERT, and MiniLM. Experienced in full lifecycle AI system development from data ingestion to real-time inference, I leverage frameworks like HuggingFace Transformers, LangChain, and PyTorch to build scalable, production-grade AI solutions.

My background also includes extensive cloud-native AI engineering on AWS and Google Cloud, orchestrating GenAI workflows, and automating machine learning lifecycles to align with business goals. I pride myself on strong cross-functional collaboration and driving enterprise AI adoption by implementing responsible, scalable generative AI technologies tailored to real-world business problems.

Skills

Experience Level

Expert

Expert

Expert

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Expert

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Expert

Work Experience

Gen AI Developer at ABM Industries

February 1, 2024 - Present

Designed and deployed AI solutions leveraging large language models and HuggingFace Transformers for real-time summarization, semantic search, and document understanding in enterprise applications. Architected NLP pipelines transforming unstructured data into structured summaries, enhancing decision-making and user experience. Implemented Retrieval-Augmented Generation frameworks for LLM-backed virtual assistants with sub-second response times across technical support and compliance use cases. Integrated transformer models with LangChain to build context-aware AI agents for dynamic reasoning and knowledge retrieval. Led fine-tuning of foundation models, developed semantic search combining vector embeddings and metadata filters, and built scalable AI microservices orchestrated using Kubernetes and serverless workflows. Managed AWS-based AI inference workloads, automated end-to-end ML lifecycles, collaborated cross-functionally to embed AI in user applications, instrumented observability

Turnaround (AI/ML/Data Scientist) Coordinator at AIR INDIA SATS Pvt Ltd (Client: Emirates Airlines)

July 31, 2023 - August 24, 2025

Designed Retrieval-Augmented Generation systems integrating LLM with vector databases to provide context-aware outputs. Architected scalable ML infrastructure on AWS and GCP and automated orchestration using cloud functions and Terraform. Built advanced NLP pipelines for various tasks using transformer models and libraries. Developed multi-agent conversational workflows with LangChain, engineered prompt strategies for optimizing model outputs, and implemented CI/CD pipelines for automated model deployment. Created automated ETL pipelines for diverse data sources and designed computer vision models for image and document analysis. Applied traditional ML algorithms for predictive modeling and collaborated with cross-functional teams to ensure scalable, ethical deployment of AI solutions.

Data Analyst/Scientist at HDFC ERGO

July 31, 2019 - August 24, 2025

Developed interactive Power BI dashboards with drill-through functionality to improve business insights. Optimized data models with DAX expressions and integrated data from SQL Server and Azure Data Lake for comprehensive reporting. Built ETL pipelines using SSIS and Azure Data Factory for data extraction and transformation. Performed data preparation and feature engineering with Python, and developed machine learning models such as SVM, Random Forest, and XGBoost to predict customer behavior. Managed model deployments on Amazon SageMaker with CI/CD automation, and automated report scheduling through Power Automate to accelerate report generation and distribution.