Headline

AI/ML Engineer | Building LLM & RAG Systems at Scale | GenAI, Snowflake, AWS

About

I am a Data Science professional with a strong foundation in Machine Learning, Data Analysis, and problem-solving. I enjoy working with data to derive meaningful insights and build intelligent solutions for real-world challenges. I have gained hands-on industry experience through my roles at Avasoft as a Software Engineer and as a Data Science Intern at PowerSchool. At Avasoft, I worked on software development and data-related tasks, strengthening my understanding of programming, data handling, and building efficient solutions. In my current role, I focus on machine learning workflows, model evaluation, and developing data-driven applications, with exposure to Responsible AI practices, LLM evaluation (DeepEval), and Retrieval-Augmented Generation (RAG) systems. I have experience across the end-to-end lifecycle of AI/ML projects, including data preprocessing, feature engineering, model training, hyperparameter tuning, and evaluation using metrics such as accuracy, precision, recall, and F1-score. I have worked on projects involving Machine Learning, Deep Learning (CNN, LSTM, ResNet), and Generative AI applications. My technical skill set includes Python, SQL, PyTorch, TensorFlow, Scikit-learn, Hugging Face, LangChain, vector databases, embeddings, and API development using FastAPI and Streamlit. I also have exposure to cloud platforms like AWS and tools such as Snowflake for scalable data processing and ML pipelines. I am particularly interested in Artificial Intelligence, Generative AI, Large Language Models (LLMs), RAG pipelines, and MLOps, with a focus on building scalable, production-grade AI systems. I enjoy working in collaborative, fast-paced environments, taking ownership of tasks, and continuously learning new technologies. I am currently seeking opportunities in Data Science, Machine Learning Engineering, and AI roles where I can contribute to building scalable, high-impact solutions.

Location

Chennai

AI stack

antigravity

codex

opencode

Work experience

AI/ML Intern (Data Science) at PowerSchool, Jul 2025 - May 2026 · 11 mos, Bengaluru, Karnataka, India, • Led Responsible AI evaluation for RAG-based PowerBuddy chatbots using DeepEval, AWS-hosted LLMs, and Snowflake Cortex to assess response quality, safety, and consistency • Designed and deployed a production-grade LLM evaluation pipeline using Python, Snowflake, and Docker to process large-scale chatbot interaction data • Built an AI-powered semantic metadata platform with an end-to-end ingestion pipeline for extracting and structuring unstructured enterprise data • Implemented RAG architecture using Azure OpenAI to enable semantic search and contextual Q&A across enterprise systems. • Developed a DeepSearch application (FastAPI + React) using vector similarity search and LLM-based reranking for accurate, citation-backed responses. • Contributed to migration of analytics workflows from Snowflake SPCS to AWS, supporting a production platform serving millions of users

Software Engineer at AVASOFT, Oct 2023 - Jun 2024 · 9 mos, • Developed intelligent virtual agents using rule-based and NLP-driven approaches, improving response efficiency and reducing ticket resolution time by 35% • Built backend services and data workflows integrating enterprise systems via REST and SOAP APIs, reducing manual effort by 50% • Delivered automation solutions focused on NLP processing, data handling, and system reliability

Software Engineer Intern at AVASOFT, Jul 2023 - Sep 2023 · 3 mos

Education

Master of Technology - MTech CSE, Artificial Intelligence and Machine Learning, Vellore Institute of Technology (VIT)

Bachelor of Engineering, Electronics and Communications Engineering, Coimbatore Institute of Technology