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I’m a Full Stack AI Engineer with 4 years of experience in building end-to-end AI applications, from model development to deployment. I work across backend (Python, FastAPI), frontend (React/TypeScript), and cloud environments (AWS/Azure) to deliver practical, scalable solutions. I’m comfortable with training, fine-tuning, and integrating LLMs such as LLaMA and OpenAI into real products, including RAG systems and chatbots. I’m comfortable with data preparation, creating and maintaining ETL data pipelines, model optimization, and deploying services with Docker and MLFlow. My focus is on creating reliable, user-centric AI systems that support better decision-making and fit smoothly into Agile/Scrum workflows.…I’m a Full Stack AI Engineer with 4 years of experience in building end-to-end AI applications, from model development to deployment. I work across backend (Python, FastAPI), frontend (React/TypeScript), and cloud environments (AWS/Azure) to deliver practical, scalable solutions. I’m comfortable with training, fine-tuning, and integrating LLMs such as LLaMA and OpenAI into real products, including RAG systems and chatbots. I’m comfortable with data preparation, creating and maintaining ETL data pipelines, model optimization, and deploying services with Docker and MLFlow. My focus is on creating reliable, user-centric AI systems that support better decision-making and fit smoothly into Agile/Scrum workflows.

AADARSH KUSHWAHA

Data Scientist, Full Stack Developer, Front-End Developer, +2

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I’m a Full Stack AI Engineer with 4 years of experience in building end-to-end AI applications, from model development to deployment. I work across backend (Python, FastAPI), frontend (React/TypeScript), and cloud environments (AWS/Azure) to deliver practical, scalable solutions. I’m comfortable with training, fine-tuning, and integrating LLMs such as LLaMA and OpenAI into real products, including RAG systems and chatbots. I’m comfortable with data preparation, creating and maintaining ETL data pipelines, model optimization, and deploying services with Docker and MLFlow. My focus is on creating reliable, user-centric AI systems that support better decision-making and fit smoothly into Agile/Scrum workflows.…I’m a Full Stack AI Engineer with 4 years of experience in building end-to-end AI applications, from model development to deployment. I work across backend (Python, FastAPI), frontend (React/TypeScript), and cloud environments (AWS/Azure) to deliver practical, scalable solutions. I’m comfortable with training, fine-tuning, and integrating LLMs such as LLaMA and OpenAI into real products, including RAG systems and chatbots. I’m comfortable with data preparation, creating and maintaining ETL data pipelines, model optimization, and deploying services with Docker and MLFlow. My focus is on creating reliable, user-centric AI systems that support better decision-making and fit smoothly into Agile/Scrum workflows.

Available to hire

I’m a Full Stack AI Engineer with 4 years of experience in building end-to-end AI applications, from model development to deployment. I work across backend (Python, FastAPI), frontend (React/TypeScript), and cloud environments (AWS/Azure) to deliver practical, scalable solutions.

I’m comfortable with training, fine-tuning, and integrating LLMs such as LLaMA and OpenAI into real products, including RAG systems and chatbots. I’m comfortable with data preparation, creating and maintaining ETL data pipelines, model optimization, and deploying services with Docker and MLFlow. My focus is on creating reliable, user-centric AI systems that support better decision-making and fit smoothly into Agile/Scrum workflows.

Skills

Experience Level

Expert

Expert

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Expert

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Expert

Language

English

Fluent

Work Experience

Data Scientist at AtliQ Technologies, USA

February 1, 2025 - Present

Developed a cloud-ready ML application for insurance premium prediction using XGBoost and Linear Regression, achieving 98.75% accuracy. Built scalable asynchronous FastAPI microservices with rate limiting, Redis caching, and asynchronous background workers. Delivered a production React.js interface adopted by underwriting teams. Improved model performance through targeted error analysis and segmentation, reducing high-error predictions from 30% to 2%. Applied Optuna for hyperparameter tuning and added Pytest coverage to validate preprocessing, model scores, and API responses. Addressed multicollinearity using VIF-based feature selection, improving XGBoost reliability. Containerized the workflow with Docker and implemented MLFlow for experiment tracking and reproducible deployment. Built a lightweight Expense Tracking System with modular FastAPI routing, JWT authentication, Redis caching, and background job summaries. Integrated Claude MCP for natural language expense queries.

Software Engineer at Norbrik Pty Ltd

February 1, 2021 - July 1, 2023

Digitized paper-based workflows by building a React + FastAPI automation platform, reducing manual operations by 75% and improving cross-department productivity. Revamped platform UI using React v18, TypeScript, Material-UI, and GrapesJS, enabling drag-and-drop form creation and increasing user engagement by 40%. Separated the React client app from the .NET Core backend in the company’s SaaS app, implementing error boundaries and code refactoring, improving developer experience by 40%. Improved performance by addressing bottlenecks, upgrading Webpack to v5, implementing code splitting, and transitioning to functional components, resulting in ~40% faster load times. Managed Agile sprint backlog and coordinated cross-functional teams to ensure on-time delivery. Conducted business data analysis to provide dashboards and actionable insights.

Frontend Developer at Dibtech Nepal

May 1, 2020 - December 1, 2020

Engineered a responsive POS interface using React and Material UI with real-time order management, dynamic menu customization, split billing, customer loyalty programs, and automated inventory tracking via REST APIs. Designed a scalable, modular SaaS POS system deployed across 2000+ businesses, improving operational efficiency by 30%. Integrated PayPal and eSewa payment gateways, reducing payment processing errors by 99.99% and improving transaction reliability. Built desktop-optimized UI components enabling multi-payment support, digital receipts, low-stock alerts, and kitchen-to-FOH communication.