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I'm Siddhi, an AI/ML Engineer with 5 years of experience building and deploying intelligent systems that deliver real business value. I specialize in large language models, retrieval-augmented generation (RAG), computer vision, and end-to-end ML pipelines. I architect production-grade AI solutions across the entire ML lifecycle—from data preparation and model training to cloud deployment and continuous optimization. LLM & RAG Systems: I build scalable RAG architectures with advanced chunking strategies, hybrid retrieval (BM25 + vector search), and reranking models. I've developed custom embedding pipelines, multi-agent systems using LangChain and LangGraph, and LLM-powered document analysis for legal and financial applications. Computer Vision & Deep Learning: I design and deploy deep learning models for document classification, object detection, and predictive maintenance using PyTorch and TensorFlow. My work includes creating datasets from thousands of documents, training custom models, and productionizing them for high-volume processing.…I'm Siddhi, an AI/ML Engineer with 5 years of experience building and deploying intelligent systems that deliver real business value. I specialize in large language models, retrieval-augmented generation (RAG), computer vision, and end-to-end ML pipelines. I architect production-grade AI solutions across the entire ML lifecycle—from data preparation and model training to cloud deployment and continuous optimization. LLM & RAG Systems: I build scalable RAG architectures with advanced chunking strategies, hybrid retrieval (BM25 + vector search), and reranking models. I've developed custom embedding pipelines, multi-agent systems using LangChain and LangGraph, and LLM-powered document analysis for legal and financial applications. Computer Vision & Deep Learning: I design and deploy deep learning models for document classification, object detection, and predictive maintenance using PyTorch and TensorFlow. My work includes creating datasets from thousands of documents, training custom models, and productionizing them for high-volume processing.

Siddhi Panchal

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I'm Siddhi, an AI/ML Engineer with 5 years of experience building and deploying intelligent systems that deliver real business value. I specialize in large language models, retrieval-augmented generation (RAG), computer vision, and end-to-end ML pipelines. I architect production-grade AI solutions across the entire ML lifecycle—from data preparation and model training to cloud deployment and continuous optimization. LLM & RAG Systems: I build scalable RAG architectures with advanced chunking strategies, hybrid retrieval (BM25 + vector search), and reranking models. I've developed custom embedding pipelines, multi-agent systems using LangChain and LangGraph, and LLM-powered document analysis for legal and financial applications. Computer Vision & Deep Learning: I design and deploy deep learning models for document classification, object detection, and predictive maintenance using PyTorch and TensorFlow. My work includes creating datasets from thousands of documents, training custom models, and productionizing them for high-volume processing.…I'm Siddhi, an AI/ML Engineer with 5 years of experience building and deploying intelligent systems that deliver real business value. I specialize in large language models, retrieval-augmented generation (RAG), computer vision, and end-to-end ML pipelines. I architect production-grade AI solutions across the entire ML lifecycle—from data preparation and model training to cloud deployment and continuous optimization. LLM & RAG Systems: I build scalable RAG architectures with advanced chunking strategies, hybrid retrieval (BM25 + vector search), and reranking models. I've developed custom embedding pipelines, multi-agent systems using LangChain and LangGraph, and LLM-powered document analysis for legal and financial applications. Computer Vision & Deep Learning: I design and deploy deep learning models for document classification, object detection, and predictive maintenance using PyTorch and TensorFlow. My work includes creating datasets from thousands of documents, training custom models, and productionizing them for high-volume processing.

Available to hire

I’m Siddhi, an AI/ML Engineer with 5 years of experience building and deploying intelligent systems that deliver real business value. I specialize in large language models, retrieval-augmented generation (RAG), computer vision, and end-to-end ML pipelines.

I architect production-grade AI solutions across the entire ML lifecycle—from data preparation and model training to cloud deployment and continuous optimization.
LLM & RAG Systems: I build scalable RAG architectures with advanced chunking strategies, hybrid retrieval (BM25 + vector search), and reranking models. I’ve developed custom embedding pipelines, multi-agent systems using LangChain and LangGraph, and LLM-powered document analysis for legal and financial applications.

Computer Vision & Deep Learning: I design and deploy deep learning models for document classification, object detection, and predictive maintenance using PyTorch and TensorFlow. My work includes creating datasets from thousands of documents, training custom models, and productionizing them for high-volume processing.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Work Experience

AI/ML Engineer at Aavenir

February 1, 2022 - November 12, 2025

AI/ML Engineer at Aavenir, Ahmedabad (Feb 2022 - Present). Built data sets from 10k+ PDFs for invoice classification (invoice / non-invoice / continuous) and vendor detection. Built and deployed end-to-end deep learning systems for invoice classification (InceptionV3) and vendor detection (EfficientDet), covering data labeling, training, and evaluation. Provided continuous support for client-reported extraction issues, including configuration and critical code updates. Developing LLM-driven invoice classification and data extraction using Amazon Bedrock.

AI/ML Engineer at Stridely Solutions

February 1, 2022 - February 1, 2022

AI/ML Engineer at Stridely Solutions, Ahmedabad (Sep 2020 - Feb 2022). Worked on vibration analysis and predictive maintenance of sensor data. Used an LSTM neural network to forecast the next five days' vibrations and Remaining Useful Life (RUL) for predictive maintenance. Applied K-means to detect anomalies in vibration data and suggested DL-based solutions on image and historical data. Contributed to a modular multi-agent AI travel planning platform, including RAG pipeline optimization, LangChain, and OpenAI integrations; built live data search functionality via TaVily API and Chainlit-based real-time interfaces; developed back-end APIs and streaming data handling.