I'm Aatithaya Paliwal, a results-driven AI/ML Engineer with 4 years of experience designing, building, and deploying end-to-end AI/ML solutions. I specialize in generative AI systems, LLM-powered applications, and intelligent automation across cloud and on-prem environments. My hands-on work spans fine-tuning LLMs, prompt engineering, RAG, LoRA, and PEFT strategies, as well as deploying scalable GenAI APIs using OpenAI, Hugging Face, and LangChain. I also lead MLOps pipelines with MLflow, Vertex AI Pipelines, SageMaker, and Kubernetes to ensure reproducible models and automated production deployments. Beyond model work, I build backend services with Python and Node.js, create AI-enabled conversational agents and IVR systems, and implement secure, multilingual AI apps. I enjoy collaborating across teams to translate business needs into robust, scalable AI products.

Aatithaya Paliwal

I'm Aatithaya Paliwal, a results-driven AI/ML Engineer with 4 years of experience designing, building, and deploying end-to-end AI/ML solutions. I specialize in generative AI systems, LLM-powered applications, and intelligent automation across cloud and on-prem environments. My hands-on work spans fine-tuning LLMs, prompt engineering, RAG, LoRA, and PEFT strategies, as well as deploying scalable GenAI APIs using OpenAI, Hugging Face, and LangChain. I also lead MLOps pipelines with MLflow, Vertex AI Pipelines, SageMaker, and Kubernetes to ensure reproducible models and automated production deployments. Beyond model work, I build backend services with Python and Node.js, create AI-enabled conversational agents and IVR systems, and implement secure, multilingual AI apps. I enjoy collaborating across teams to translate business needs into robust, scalable AI products.

Available to hire

I’m Aatithaya Paliwal, a results-driven AI/ML Engineer with 4 years of experience designing, building, and deploying end-to-end AI/ML solutions. I specialize in generative AI systems, LLM-powered applications, and intelligent automation across cloud and on-prem environments. My hands-on work spans fine-tuning LLMs, prompt engineering, RAG, LoRA, and PEFT strategies, as well as deploying scalable GenAI APIs using OpenAI, Hugging Face, and LangChain.

I also lead MLOps pipelines with MLflow, Vertex AI Pipelines, SageMaker, and Kubernetes to ensure reproducible models and automated production deployments. Beyond model work, I build backend services with Python and Node.js, create AI-enabled conversational agents and IVR systems, and implement secure, multilingual AI apps. I enjoy collaborating across teams to translate business needs into robust, scalable AI products.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
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Work Experience

AI/ML Engineer at Kawartha Credit Union
September 1, 2024 - Present
Developed and deployed GenAI solutions including LLM-powered chatbots, summarization tools, and content generation systems across enterprise use cases. Implemented LoRA/PEFT, integrated OpenAI GPT APIs, configured AWS Glue for real-time data processing, built backend services with Node.js/Express.js, and designed scalable RESTful APIs. Led MLOps pipelines with Kubernetes and MLflow; implemented multilingual translation using AWS Translate; designed prompts and frameworks for summarization, translation, classification, and chatbot scenarios.
AI/ML Engineer at InCred Financial Services
August 1, 2024 - October 16, 2025
Analyzed SQL scripts with PySpark, applied signal processing to PPG data, automated reporting with BigQuery/Looker Studio, developed GraphQL APIs, deployed PySpark-based ML tasks, leveraged Comprehend Medical, managed Jira-based sprints, built scalable workflows with AWS Lambda/S3/DynamoDB and Step Functions, implemented Lex/Dialogflow chatbots, and deployed GPU-enabled models for sensor data analysis.
AI/ML Engineer at Thirdera
June 1, 2023 - October 16, 2025
Developed AI/ML solutions, evaluated Elastic clusters, published fine-tuned models to Hugging Face, led prompt engineering experiments to improve LLM performance, monitored Kubernetes resource usage with X-Ray, optimized real-time AI services, developed CloudFormation/CDK automation for complex workflows, integrated with Genesys Cloud CX IVR and SOAP APIs, orchestrated multi-turn dialogues, and deployed GPU-accelerated models.

Education

Bachelor of Engineering in Computer Science at Visvesvaraya Technological University
January 11, 2030 - October 16, 2025
PostGraduate Diploma in Artificial Intelligence and Machine Learning at Fanshawe College
January 11, 2030 - October 16, 2025

Qualifications

Bachelor of Engineering in Computer Science
January 11, 2030 - October 16, 2025
PostGraduate Diploma in Artificial Intelligence and Machine Learning
January 11, 2030 - October 16, 2025

Industry Experience

Software & Internet, Financial Services, Education, Professional Services