Devanshi M. profile photo 1 on Tal

Devanshi M.

Building AI Systems with RAG & LLMs | AI Engineer | Python • LangChain • Chroma • Ollama | Ex-Software Developer Intern @ Eleics Design

Bhavnagar

< 1 year of work experience

Eleics Design Private Limited
Jan 20263 mosMar 2026

Gandhinagar

Built an offline document-based Question Answering system using Retrieval-Augmented Generation (RAG) Implemented end-to-end pipeline: document ingestion → chunking → embeddings → vector search → LLM response generation Integrated FAISS/Chroma vector databases for efficient semantic retrieval Deployed local LLMs (Ollama / llama.cpp) to ensure fully offline, privacy-focused AI processing Developed a chat interface with document upload, query handling, and source attribution Optimized retrieval accuracy through chunking strategies and embedding tuning Ensured zero external API dependency, focusing on performance and system reliability Participated in code reviews and collaborative development workflows
CodeDecorator
Jul 20251 moJul 2025

On-site

Developed 4+ frontend projects demonstrating real-world functionality and API usage Integrated third-party APIs for live data fetching and processing Structured applications using modular JavaScript and clean UI design
Sidhwani Technologies
Jun 20251 moJun 2025

On-site

Developed a responsive café web application for menu display, pricing, and customer interaction Designed and implemented intuitive UI using HTML, CSS, and JavaScript Built dynamic features including menu filtering, interactive navigation, and form handling Developed backend functionality using PHP and MySQL for data storage and operations Implemented an admin panel to manage menu items, pricing, and content dynamically Added authentication system (login/logout) to secure admin access and prevent unauthorized changes Integrated contact/order forms with validation and database connectivity Implemented admin panel with CRUD operations for efficient menu and content management Ensured responsive design, cross-browser compatibility, and performance optimization
CODTECH IT SOLUTIONS
May 20241 moMay 2024

Remote

Education

Gujarat Technological University (GTU)

Bachelor of Engineering - BE, Computer Engineering

Gujarat Technological University (GTU)

20224 yrs2026

Bachelor of Engineering - BE, Computer Engineering

Gyanmanjari innovative University

20224 yrs2026

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Devanshi M. on Tal

Headline

Building AI Systems with RAG & LLMs | AI Engineer | Python • LangChain • Chroma • Ollama | Ex-Software Developer Intern @ Eleics Design

About

I build AI systems that go beyond basic prompting by integrating Large Language Models with real-world data. During my internship as a Software Developer at Eleics Design, I worked on developing Retrieval-Augmented Generation (RAG) based applications and LLM-powered solutions. I built an end-to-end offline document-based Question Answering system, focusing on data privacy and efficient information retrieval. My work included: ● Designing complete RAG pipelines (ingestion → embedding → retrieval → generation) ● Implementing semantic search using vector databases (Chroma) ● Integrating local LLMs (Ollama / llama.cpp) for offline AI processing ● Optimizing chunking strategies and retrieval accuracy for better response quality In addition, I have experience in full-stack development, where I built multiple web applications using HTML, CSS, JavaScript, PHP, and MySQL. Tech Stack: Python, LangChain, Chroma, Ollama, JavaScript, PHP, MySQL I am actively seeking full-time opportunities in Generative AI, LLM Applications, and AI Engineering where I can contribute to building scalable, data-driven AI systems. Let’s connect if you’re working on something impactful in AI.

Location

Bhavnagar

Work experience

Software Developer (AI) at Eleics Design Private Limited, Jan 2026 - Mar 2026 · 3 mos, Gandhinagar, Built an offline document-based Question Answering system using Retrieval-Augmented Generation (RAG) Implemented end-to-end pipeline: document ingestion → chunking → embeddings → vector search → LLM response generation Integrated FAISS/Chroma vector databases for efficient semantic retrieval Deployed local LLMs (Ollama / llama.cpp) to ensure fully offline, privacy-focused AI processing Developed a chat interface with document upload, query handling, and source attribution Optimized retrieval accuracy through chunking strategies and embedding tuning Ensured zero external API dependency, focusing on performance and system reliability Participated in code reviews and collaborative development workflows

Junior Web Developer at CodeDecorator, Jul 2025 - Jul 2025 · 1 mo, On-site, Developed 4+ frontend projects demonstrating real-world functionality and API usage Integrated third-party APIs for live data fetching and processing Structured applications using modular JavaScript and clean UI design

PHP Developer at Sidhwani Technologies, Jun 2025 - Jun 2025 · 1 mo, On-site, Developed a responsive café web application for menu display, pricing, and customer interaction Designed and implemented intuitive UI using HTML, CSS, and JavaScript Built dynamic features including menu filtering, interactive navigation, and form handling Developed backend functionality using PHP and MySQL for data storage and operations Implemented an admin panel to manage menu items, pricing, and content dynamically Added authentication system (login/logout) to secure admin access and prevent unauthorized changes Integrated contact/order forms with validation and database connectivity Implemented admin panel with CRUD operations for efficient menu and content management Ensured responsive design, cross-browser compatibility, and performance optimization

Web Developer at CODTECH IT SOLUTIONS, May 2024 - May 2024 · 1 mo, Remote

Education

Bachelor of Engineering - BE, Computer Engineering, Gujarat Technological University (GTU)

Bachelor of Engineering - BE, Computer Engineering, Gyanmanjari innovative University