Open to opportunities

swati shinde

@swatishinde

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AI Engineer building production Generative AI and RAG systems that improve accuracy and reduce hallucinations.

India

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What I'm looking for

I’m looking to build production-grade LLM/RAG and semantic search products on AWS, with ownership over retrieval quality and scalability. I want to collaborate with stakeholders to turn real business needs into reliable AI experiences.

I’m an AI Engineer specializing in Generative AI, Machine Learning, and NLP, with a focus on building LLM applications that actually work in production. I’ve developed RAG pipelines, semantic search systems, and enterprise voice-enabled conversational AI, including voice interactions powered by Whisper and text-to-speech.

At Csoft Technology, I design scalable REST APIs with FastAPI and deploy AI solutions on AWS using EC2, Lambda, API Gateway, S3, and RDS—while optimizing retrieval performance, scalability, and response accuracy through caching, retrieval optimization, and prompt engineering. Earlier, as a Junior Data Scientist and intern, I built ML and NLP models for prediction, classification, sentiment analysis, intent detection, and delivered insights via Power BI and strong data preprocessing and evaluation.

Experience

Work history, roles, and key accomplishments

Current

AI Engineer

Current

Csoft Technology

Apr 2024 - Present (2 years 2 months)

Developed generative AI solutions using LLMs and RAG with LangChain and OpenAI APIs for banking and e-commerce use cases. Built semantic search and voice-enabled assistants, and deployed scalable FastAPI REST APIs on AWS while reducing hallucinations and improving retrieval accuracy.

Generative AI LLM LLMs (LangChain OpenAI API Semantic Search (FAISS Pinecone)fastAPI Whisper Prompt Engineering

Junior Data Scientist

Csoft Technology

Apr 2023 - Mar 2024 (11 months)

Built machine learning and NLP solutions for prediction, classification, sentiment analysis, intent detection, and chatbot query understanding. Performed data preprocessing, feature engineering, model evaluation, and supported business analytics with Power BI dashboards and improved model performance through tuning.

Machine Learning NLP data preprocessing Feature Engineering Model Evaluation Hyperparameter Tuning scikit learn SQL Power BI

Data Science Intern

Csoft Technology

Jul 2022 - Mar 2023 (8 months)

Assisted in developing machine learning and NLP solutions for business automation and analytics projects. Supported data cleaning and analysis in Python and SQL, contributed to text analytics tasks, and created reports and dashboards to communicate insights to stakeholders.