Artificial Intelligence Engineer with a total of 5 years of experience, including 2 years of experience in designing and developing AI solutions, with a focus on agents, chatbots, and Retrieval-Augmented Generation (RAG) models.
Have 3 years of experience in building Full Stack Software Development.
Proficient in leveraging AI libraries and frameworks.
In-depth understanding of the internal workings of Large Language Models (LLMs) and a keen interest in staying updated with the latest research advancements.
Proven ability to deliver projects that require a multi-disciplinary approach, combining AI engineering with web development and data engineering skills.
Overview
5
5
years of professional experience
Work History
Associate (Equivalent to SDE-2)
Goldman Sachs
06.2020 - Current
Support Ticket Copilot: Developed a chatbot within the Support Ticket Platform to assist users before submitting tickets to the product team
Utilizes RAG to retrieve relevant Support Tickets and uses COT prompting with LLM to generate helpful information for User
Workflow Copilot: Built a copilot in a Low Code Workflow Automation Platform which helps users in Automatic Resolution of Production Alerts
Copilot takes the natural language description of the workflow to identify the alert and the workflow necessary to resolve the alert and generates the code in JSON which represents the workflow
Distributed Task Scheduler: Designed and built where Users can configure the tasks and tasks gets executed as per Schedule
Web Development: Built Real Time Monitoring and Analytics Dashboards using Angular
Education
B.Tech - Computer Science And Engineering
IIT Kharagpur
04.2020
Skills
Natural Language Processing (PyTorch, Hugging Face Transformers, vLLM)
Server Side Development (Python, FastApi, Java, Spring, Kafka, MongoDb)