Arzaan Ali Khan is a Junior Generative AI Developer based in Mumbai, currently employed at Crystal Group. In his role, he focuses on applying cutting‑edge AI techniques to real‑world problems, bridging research and product development. As an AI Engineer with a tinkerer's mindset, Arzaan specializes in application development, leveraging his expertise to build innovative solutions that harness generative models. His professional journey reflects a strong commitment to advancing AI capabilities within the corporate environment, and his LinkedIn profile showcases his ongoing contributions to the field.

Generative AI, generative models, AI application development, applying cutting‑edge AI techniques to real‑world problems, bridging research and product development, frontend development

Projects: LLM‑driven apps — architecting production LLM applications using OpenAI/Hugging Face models (LLaMA, Mistral) with LangChain; RAG/embedding pipelines — building ingestion, embedding and retrieval pipelines plus vector DB integrations; Multi‑agent platforms — designing agent orchestration and workflow coordination; Production integrations — deploying ETL/data pipelines and APIs for scalable GenAI services. for more infor please visit https://github.com/Arzaan-k

I am a recent B.Tech Computer Engineering graduate with honours and a specialization in advanced computing. During my degree, I built a strong foundation in core subjects such as Data Structures and Algorithms, Operating Systems, Database Management Systems, Computer Networks, and Software Engineering. I further specialized in AI-focused coursework including Machine Learning, Deep Learning, Natural Language Processing, Neural Networks, Data Mining, Cloud Computing, and Distributed Systems. I am now employed as a full-time Generative AI Developer, where I work on developing AI-powered applications and intelligent automation systems. My role involves building LLM-based solutions, fine-tuning and deploying deep-learning models, integrating generative models into production systems, and desi

“I’m deeply interested in exploring advanced Generative AI systems, LLM engineering, and intelligent automation. I want to dive further into agent-based architectures, RAG optimization, multimodal AI, and scalable model deployment. I’m also looking to connect with researchers, engineers, and teams working on cutting-edge AI products, automation platforms, and next-generation ML workflows. Collaboration in areas like model fine-tuning, NLP research, prompt engineering, and building real-world AI.

“I’m currently working on a service automation project at my company, where I’m responsible for building end-to-end AI-driven solutions. The project involves integrating LLMs into internal workflows, developing intelligent chat and automation agents, automating service requests, and improving operational efficiency through data-driven insights. I am actively involved in designing pipelines, refining prompts, working with APIs, and deploying scalable backend components efficient .

I am Mohammad Jawad Naqvi, a BE Information Technology graduate from the University of Mumbai, specializing in full-stack web development and machine learning. I have hands-on experience building real-world applications, including a Slack-inspired workspace app, an e-commerce platform, and multiple frontend clones like Spotify and Netflix. I interned as a Web Project Development Intern at 4FOX Solutions, where I worked on frontend–backend functionality, debugging, and optimizing web applications. With strong skills in Java, Python, JavaScript, React, Node.js, and MongoDB, I focus on creating efficient, user-friendly digital solutions while continuously expanding my knowledge in AI and data-driven development.

I am deeply interested in full-stack development, GenAI solutions, and machine learning–driven automation. I am looking to explore intelligent system design, LLM integration, and real-time application development using modern frameworks. I’m also interested in collaborating on AI-powered productivity tools, data-driven applications, and scalable web platforms. Additionally, I want to learn more about advanced model fine-tuning, prompt engineering, and integrating AI with real business workflows

I’m currently working as a GenAI Developer, where I built two major projects: Service Hub and Inventory Management. In Service Hub, I developed automated WhatsApp flows, a clean PDF generator, and a real-time courier tracker that syncs technician updates with service requests. In Inventory Management, I built a multi-courier shipment tracker with AWB validation and auto-sync to linked service requests. I also work on LLM-based automation for internal workflows.

I am Shruti Tiwari, a Data Science graduate and Junior GenAI Developer at Crystal Logistics, with hands-on experience in artificial intelligence, automation, and data-driven application development. I have built and deployed AI-powered chatbots, document Q&A systems, call analysis pipelines, and NLP-based solutions using tools like Python, SQL, MongoDB, LangChain, Whisper, and LLMs (GPT, Llama). I continually work on creating practical, efficient AI systems that solve real business challenges—ranging from automation to intelligent data retrieval. With a strong foundation in machine learning, analytics, and web technologies, I am passionate about applying GenAI to build scalable, impactful solutions. I am also expanding my portfolio through applied projects and professional experience in th

I’m interested in expanding my expertise in GenAI, NLP, and automation—especially in building intelligent chatbots, document understanding systems, and speech-to-text workflows. I’m looking to connect with collaborators working on AI-driven products, automation tools, data engineering, and LLM-based innovations.

I’m currently working on GenAI chatbots, call analysis automation using Selenium + Whisper, and document Q&A systems powered by vector databases and LLMs. I’m also developing AI tools for real-time insights, speech-enabled assistants, and scalable automation pipelines.