Copyright 2025
About Me
A passionate Software Engineer at Hyland with a strong focus on Cloud Technologies and AI/ML. Based in Kolkata, India, I leverage my expertise in backend development, microservices, and containerization (Docker) to build robust and scalable solutions. I am deeply enthusiastic about the evolving landscape of Artificial Intelligence and Machine Learning, constantly exploring and implementing cutting-edge techniques in Generative AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) systems. My work is driven by a desire to solve complex problems and create impactful applications.
Cloud & Backend Engineering
Experienced in designing and implementing scalable backend systems and microservices. Proficient with cloud platforms like AWS, containerization with Docker, and infrastructure as code tools such as Terraform. I build resilient and efficient solutions that power modern applications.
AI/ML & Generative AI
Dedicated to the field of Artificial Intelligence and Machine Learning, with a particular interest in Deep Learning, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG). I have hands-on experience with PyTorch and various AI frameworks, developing and deploying intelligent systems that address real-world challenges.
My Expertise
My core competencies lie in building scalable systems and leveraging artificial intelligence to create innovative solutions.Cloud Architecture & AWS
Designing and deploying robust, scalable, and cost-effective solutions on Amazon Web Services (AWS). Proficient in EC2, S3, Lambda, RDS, VPC, and other core AWS services.
Generative AI & LLMs
Developing and fine-tuning Large Language Models (LLMs) and implementing Retrieval-Augmented Generation (RAG) systems. Experience with frameworks like LangChain and models such as LLaMA3.
Deep Learning & PyTorch
Extensive knowledge of Deep Learning concepts, including ANNs, CNNs, and Transfer Learning. Hands-on experience building and deploying models using PyTorch for various AI tasks.
Microservices & Docker
Designing and implementing microservices architectures for distributed systems. Proficient in containerization using Docker for efficient deployment and scaling.
My Work
This section contains my works which can be accessed live. You can play around with the applications yourself. Try it out!RAGzilla
An innovative and comprehensive solution designed to empower technical thought leaders in the dynamic AI/ML domain, by streamlining the creation of engaging and informative content using Retrieval-Augmented Generation.
Transcripter
A scalable transcript summarizer application built with Python, Ollama API, LLaMA3, LangChain, and Gradio. Handles long transcriptions by chunking them to fit within context windows.
Hands-On Generative AI with Transformers and Diffusion Models
A personal learning repository with hands-on projects, solutions, and experiments with Generative AI, Transformers, and Diffusion Models.
PyTorch Basics
A comprehensive learning project covering fundamental and advanced concepts in PyTorch and deep learning, including neural networks, CNNs, and RNNs.
AWS Examples
Practical examples and code snippets demonstrating various AWS services and their integration, focusing on cloud infrastructure and deployment patterns.
System Design Primer
A curated resource for learning how to design large-scale systems, preparing for system design interviews, and understanding architectural patterns for robust applications.
Contact Me
You can reach out to me on social media or drop a message!kaustav.chanda.work@gmail.com
Copyright 2025