Professional Overview
I'm a Computer Science undergrad at SRMIST with real-world experience building and evaluating ML systems. I've interned at Samsung R&D, where I fine-tuned and stress-tested models achieving 98% test accuracy, and at JA Assure, where I built end-to-end pipelines for form data processing and sentiment analysis. I enjoy working at the intersection of applied ML and systems thinking, whether that's designing robust evaluation workflows, handling adversarial edge cases, or shipping working prototypes fast. Currently seeking an internship where I can contribute meaningfully and keep growing.
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
MLOps & AI Infrastructure
Architect scalable ML infrastructure — CI/CD for ML, model versioning, experiment tracking, monitoring, and cloud deployment on AWS, GCP, or Azure.
data science & analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
