Shweta Sadani

SS

Open to opportunities

Shweta Sadani

@shwetasadani

Machine Learning Engineer building production AI/ML systems at scale.

What I'm looking for

I’m looking to build scalable, production-ready AI systems—especially LLM-powered, RAG and semantic search solutions—while partnering closely with product and design. I want work where evaluation, iteration, and automation turn models into real user impact.

I’m a Machine Learning Engineer with 5+ years of experience building AI/ML systems in production. I focus on making real-world models usable—LLM-powered applications, Agentic AI, semantic search, and NLP pipelines—so teams can deliver reliable outcomes to users at scale.

In my recent work, I designed and implemented ML models to detect duplicate and semantically similar item parts using text embeddings and similarity scoring over large historical datasets. I’ve built end-to-end ML pipelines for data preprocessing, feature extraction, inference, and automated classification, with careful model evaluation and error analysis to refine precision/recall trade-offs.

I also build LLM-driven products that combine Retrieval-Augmented Generation (RAG) with hybrid search. From GPT-4o mini chatbots to analytics tools integrating MySQL, PandasAI, and OpenAI models, I deploy containerized AI/ML applications using Docker and AWS, and I develop enterprise AI agents with Microsoft Copilot Studio to automate workflows and improve decision support.

Experience

Work history, roles, and key accomplishments

FL

Current

Process Automation Specialist

Current

Flsmidth Pvt Ltd

Sep 2025 - Present (9 months)

Designed ML models to detect duplicate and semantically similar item parts using text embeddings and similarity scoring over historical datasets. Built end-to-end ML pipelines for preprocessing, inference, and automated classification, integrated into process workflows to reduce manual intervention, and developed enterprise AI agents with Microsoft Copilot Studio.

Python NLP Embeddings Semantic Similarity Scoring Machine Learning Pipelines Model Evaluation Microsoft Copilot Studio Classification

TA

AI/ML Engineer

Jun 2023 - Sep 2025 (2 years 3 months)

Built LLM-powered chatbots using GPT-4o mini with Retrieval-Augmented Generation (RAG) over user-provided and domain data. Implemented hybrid semantic/keyword search with vector databases and re-ranking, and developed production AI analytics tools using MySQL, PandasAI, and OpenAI, deployed via Docker on AWS.

LLM Retrieval Augmented Generation (RAG)Vector Databases Hybrid Search OpenAI API MySQL Docker AWS

AA

Data Scientist

Aaum Research and Analytics

Jan 2022 - May 2023 (1 year 4 months)

Designed and deployed NLP/ML models for sentiment analysis, text classification, named entity recognition, and intent detection in production environments. Delivered production classification, regression, and clustering models to support data-driven business solutions.

NLP Sentiment Analysis Named Entity Recognition Machine Learning regression Clustering

WH

Trainer

WhiteHatJr

Jul 2020 - Jun 2021 (11 months)

Delivered advanced training in Python, Machine Learning, and data visualization, recognized for technical depth and communication. Mentored learners on real-world ML problem solving.

Python Machine Learning Data Visualization Mentoring Technical Communication

Education

Degrees, certifications, and relevant coursework

AU

Anna University

Bachelor of Engineering, Computer Science

Grade: 76%

Completed a B.E. in Computer Science at Anna University (2007) with a 76% aggregate.

Tech stack

Software and tools used professionally

GitHub

Jenkins

DB

MySQL

Gmail

SQL

Refine

Agentic

Get matched with your dream remote job

Sign up now and join over 250,000+ remote workers who receive personalized job alerts, curated job matches, and more for free!