I’m an AI Software Engineer focused on building end-to-end AI systems that actually work in the real world. My strength lies in combining prompt engineering, model understanding, and solid software engineering to turn ideas into production-ready AI products—not just demos.
I’ve built multiple AI-driven applications across domains like legal-tech, therapy chatbots, regulatory intelligence, automation tools, and conversational agents. My work includes scraping and processing large-scale unstructured data (PDFs and dynamic websites), LLM-based summarization, retrieval-augmented generation (RAG), vector databases, and human-in-the-loop AI systems.
I’ve worked hands-on with a wide range of LLMs including Gemini, OpenAI, Mistral, Grok, DeepSeek, and several Hugging Face models, and I understand which models perform best for specific use cases. Beyond prompting, I also handle the technical depth—backend architecture, databases, APIs, deployment, and scalability.
Before moving fully into AI, I worked as a Java Developer at Accenture, which gave me a strong engineering foundation. Today, I focus on building modular, explainable, and user-centric AI systems, with a strong interest in automation, AI agents, and human-AI collaboration.
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Builds a user’s alter ego based on 50 personality questions and enables interactive chats with that persona.
CODE AND DEMO HERE: https://www.twine.net/signin
Anita is a compassionate AI-powered therapy chatbot built using BERT-based intent classification, semantic search with FAISS, and LLM-driven responses via Gemini Pro. It offers emotionally aware conversations and generates speech output using Sarvam AI’s multilingual TTS API.
You can check the code and the demo here: https://www.twine.net/signin
A Legal Assistant that scrapes and summarizes the legal documents from Government Websites on daily basis and has a chatbot where user can query and reason the summary data.
The site is live here: https://www.twine.net/signin
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